Computational Narrative

Notes:

Récit is a French term that can be translated as “narrative” or “account.” It typically refers to a brief or concise story or account that has a simple narrative structure. A récit is often used to describe a type of literary genre that is similar to the novel, but which is typically shorter and has a more straightforward plot.

In literary theory, the term récit is often used to refer to the act of narrating or telling a story, as well as the story itself. It is often contrasted with other narrative forms, such as the novel, which is seen as having a more complex and expansive structure. Récit is also sometimes used in other fields, such as film studies, to refer to a specific type of narrative style or form.

Computational narratology is a subfield of narratology (the study of narrative and storytelling) that focuses on the use of computational and information processing techniques to analyze, model, and generate narratives. This interdisciplinary field combines elements of computer science, linguistics, psychology, and literary studies to investigate the structure and dynamics of narratives, as well as the ways in which they can be represented and processed by computational systems.

Researchers in computational narratology use a wide range of methods and techniques, including natural language processing, data mining, machine learning, and artificial intelligence, to study narratives and understand how they are constructed, conveyed, and interpreted. This research has a wide range of applications, including the development of intelligent narrative-based systems, such as chatbots, story generators, and digital assistants, as well as the study of the psychological and cognitive processes involved in narrative comprehension and production.

  • Analogy-based story generation refers to the use of analogy and similarity-based reasoning to generate narrative texts. In this approach, a computational system is trained to identify and use patterns and relationships from a given set of input data to generate new narrative texts that are similar in structure and content to the input data.
  • Automated narrative refers to the use of computational techniques to automatically generate narrative texts without the need for human input or intervention. This can be done using a variety of different methods, such as machine learning algorithms, natural language processing, and data mining.
  • Computational narrative generation is the use of computational techniques to generate narrative texts automatically. This can include the use of machine learning algorithms, natural language processing, and other AI-based techniques to create narrative texts that are similar in structure and content to a given set of input data.
  • Computational narratives are narratives that are generated or manipulated using computational techniques. These narratives can be created automatically by a computer system, or they can be created by a human author using computational tools and techniques.
  • Computational narratology is the study of narratives from the point of view of computation and information processing. This interdisciplinary field combines elements of computer science, linguistics, psychology, and literary studies to investigate the structure and dynamics of narratives, as well as the ways in which they can be represented and processed by computational systems.
  • Computational storytelling refers to the use of computational techniques to generate or manipulate narrative texts. This can include the use of machine learning algorithms, natural language processing, and other AI-based techniques to create narrative texts that are similar in structure and content to a given set of input data.
  • Computer-generated narrative refers to a narrative that is created or generated automatically by a computer system. This can include the use of machine learning algorithms, natural language processing, and other AI-based techniques to create narrative texts that are similar in structure and content to a given set of input data.
  • Digital narrative refers to a narrative that is created or conveyed using digital media, such as text, images, audio, or video. Digital narratives can be created by individuals or groups using a variety of different tools and platforms, and they can be shared and distributed online.
  • Discourse generation system is a computational system that is designed to generate natural language texts that are similar in structure and content to a given set of input data. These systems can use a variety of different techniques, such as natural language processing and machine learning, to analyze input data and generate coherent and relevant texts.
  • Event-driven narrative refers to a type of narrative in which the events of the story are determined by the actions and decisions of the characters or the user. In an event-driven narrative, the story progresses based on the choices made by the characters or the user, resulting in a highly dynamic and interactive narrative experience.
  • Expressive system is a system that is able to produce outputs that are intended to convey meaning or express something, such as natural language or art. Expressive systems can be found in various forms, such as in language, music, or visual arts.
  • Hypertext narrative, also known as interactive fiction or hypertext fiction, refers to a form of storytelling that uses hypertext links to allow readers to navigate through the story. This type of narrative allows readers to choose the order in which they read the story, and can provide a more interactive and personalized reading experience.
  • Interactive digital narrative refers to a form of storytelling that uses digital technology to enable readers or viewers to interact with the story in some way. This can include things like choosing different paths for the story to take, or providing input that influences the events of the story.
  • Interactive narrative, in general, refers to any form of storytelling that allows readers or viewers to participate in the story in some way, either through making choices or providing input that affects the story. This can include both digital and non-digital forms of narrative, such as choose-your-own-adventure books or role-playing games.
  • Location aware narrative is a type of narrative that uses location data to provide context or influence the events of the story. This can include things like using the reader’s current location to determine which events happen in the story, or using location data to provide a sense of place or atmosphere.
  • Narrative analysis is the process of studying and interpreting narratives in order to understand their meaning and significance. This can involve looking at the structure, themes, and characters of a narrative, as well as the cultural and social context in which it was created.
  • Narrative generation refers to the process of creating a narrative, either through writing or other means. This can involve developing characters, plot, and setting, as well as arranging events and dialogue in a way that tells a cohesive and engaging story.
  • Narrative generation system is a system or tool that is designed to automatically generate narratives. This can involve using algorithms or other methods to create narratives based on input data or predetermined rules.
  • Narrative generator is a specific type of narrative generation system that is designed to produce narratives automatically. This can include things like computer programs or online tools that allow users to input data and generate a narrative as output.
  • Narrative intelligence refers to the ability of a system or agent to understand, generate, and reason about narratives. This can involve things like understanding the structure and components of a narrative, generating a coherent and engaging story, or using narrative information to make decisions or predictions.
  • Narrative interaction refers to the process of engaging with a narrative in a way that allows for some level of participation or influence. This can include things like choosing different paths for the story to take, providing input that affects the events of the story, or simply reacting to and commenting on the events of the narrative.
  • Narrative knowledge engineering is the process of creating and maintaining knowledge-based systems that are able to reason about and generate narratives. This can involve things like building and organizing a knowledge base of narrative information, defining rules and constraints for generating narratives, and developing algorithms or other tools for generating and interpreting narratives.
  • Narrative models refer to models or frameworks that are used to represent narrative information and structure. These models can be used to represent the components of a narrative, such as characters, events, and dialogue, as well as the relationships between these components.
  • Narrative planning refers to the process of creating a plan or outline for a narrative, including things like developing characters and plot, arranging events, and determining the overall structure of the story. This can involve using a combination of creative thinking and logical reasoning to develop a coherent and engaging narrative.
  • NKRL, or the Narrative Knowledge Representation Language, is a formal language or framework for representing narrative knowledge. This can include things like the components of a narrative, such as characters and events, as well as the relationships between these components. NKRL can be used to represent and reason about narrative information in a precise and logical way.
  • Virtual narrative is a type of narrative that exists within a virtual or digital environment. This can include things like virtual reality experiences or video games that allow users to interact with and participate in a story. Virtual narratives can provide a more immersive and interactive experience for the user compared to traditional forms of storytelling.

Resources:

Wikipedia:

References:

See also:

Computational Analogy | Procedural Storytelling

Story Arcs: A Computational Narrative Analysis of Palliative Care Serious Illness Conversations (CS203C)
R Gramling, M Eppstein, C Danforth – Journal of Pain and Symptom …, 2020 – jpsmjournal.com
Objective (s) We used state-of-the-art Computational Narrative Analysis methods to identify a set of feature patterns within the aggregate lexicon of unfolding palliative care conversations that reveal their normative structure. Method (s) We analyzed verbatim …

Computational Narrative Activities: Combining Computing, Context, and Communication To Teach Chemical Concepts
SM Singleton – Using Computational Methods To Teach Chemical …, 2019 – ACS Publications
This chapter describes the author’s experience developing computational narrative activities (CNAs). These interactive activities utilize current computing technologies (python and Jupyter notebooks), and use established assignment design strategies to help students …

A Framework towards Computational Narrative Analysis on Blogs.
KK Bandeli, MN Hussain, N Agarwal – Text2Story@ ECIR, 2020 – researchgate.net
Social media is widely used to express views and share opinions with others. With the availability of inexpensive and ubiquitous mass communication tools like social media, creating narratives, falseinformation and propaganda is both convenient and effective …

Author-Driven Approaches to Computational Narrative Design for Games
DJ Tree, A Malizia – International Conference on Human-Computer …, 2019 – Springer
Abstract Accessible Head Mounted Displays (HMD) have provided mass access to Extended Reality (XR) content as never before. One of the key complaints from HMD owners, however, is the lack of substantial high-quality content (Moore 2017). Coupled with …

The Association Between Depression, Intensity of End-of-life Care and Advance Care Planning Among Patients with Cancer (RP300)
C McDermott, R Engelberg, J Sibley… – Journal of Pain and …, 2020 – jpsmjournal.com
… Objective(s). We used state-of-the-art Computational Narrative Analysis methods to identify a set of feature patterns within the aggregate lexicon of unfolding palliative care conversations that reveal their norma- tive structure …

Tackling the Challenge of Computational Identification of Characters in Fictional Narratives
C Barros, M Vicente, E Lloret – 2019 IEEE International …, 2019 – ieeexplore.ieee.org
… Keywords-Computational Narratology; Character Identifica- tion; Computational Linguistics; Natural Language Processing; Machine Learning … REFERENCES [1] I. Mani, Computational Narratology. Hamburg: Ham- burg University Press, 2013, ch …

Desiderata for a Computational Model of Human Online Narrative Sensemaking
RE Cardona-Rivera, RM Young – 2019 – qed.cs.utah.edu
… to doing so, the field of computational models of narrative (CMN) has progressed primarily on the two fronts that make up the narrative intelligence (Mateas and Sengers 1999) enterprise: com- putational narrative generation and computational narrative sensemaking (Mueller …

Automating Complex News Stories by Capturing News Events as Data
D Caswell, K Dörr – Journalism Practice, 2019 – Taylor & Francis
… Fortunately, the characteristics of stories have been studied for decades by fields like Narratology and Computational Narrative, and we can use this work to create a standardised way of representing news stories as data (Abbot 2008 Abbot, Porter H. 2008 …

Special Issue on AI in Games
S Risi, M Preuss – 2020 – Springer
… In addition to AIs that play games, AI in games is becoming a large research field that includes areas as diverse as procedural content generation (PCG), computational narrative, AI-assisted game design, game analytics and many more …

Narrative paths and negotiation of power in birth stories
M Antoniak, D Mimno, K Levy – Proceedings of the ACM on Human …, 2019 – dl.acm.org
… stories, fulfill many of the desiderata for computational narrative analyses. Birth stories are highly individual, but all share fundamental similarities due to the fact that they describe the same biological process. From the perspective of computational narratology, the collection …

Dynamic evolution of sentiments in Never Let Me Go: Insights from quantitative analysis and implications
Q Hu, B Liu, MR Thomsen, J Gao… – 2019 6th International …, 2019 – ieeexplore.ieee.org
… in the time-varying Hurst exponent. We argue that these findings are indicative of the potential multifractal theory has for computational narratology and large-scale literary analysis. Specifically, that the global Hurst exponent …

Integrating character networks for extracting narratives from multimodal data
OJ Lee, JJ Jung – Information Processing & Management, 2019 – Elsevier
… narrative multimedia. Previous article in issue; Next article in issue. Keywords. Story analytics. Character network. Computational narrative. Story synchronization. 2010 MSC. 68R10. 68T30. 68T35. 68T05. 1. Introduction. With the rapid …

Proceedings of the First Workshop on Narrative Understanding
D Bamman, S Chaturvedi, E Clark, M Fiterau… – Proceedings of the First …, 2019 – aclweb.org
… 9:00–9:10 Welcome 9:10–9:50 Invited talk: “Computational Narratology and Critical Race Theory” Richard So … Friday, June 7, 2019 (continued) 16:00–16:40 Invited talk: “Computational Narrative Intelligence and the Quest for the Great Automatic Grammatizator” Mark Riedl …

A computational, cognitive, and narratological approach to narrative generation
T Ogata – Post-narratology through computational and cognitive …, 2019 – igi-global.com
A Computational, Cognitive, and Narratological Approach to Narrative Generation: 10.4018/978-1-5225-7979-3.ch001: This chapter surveys and discusses interdisciplinary approaches to primarily artificial intelligence (AI)-based computational narrative or story generation.

Character network embedding-based plot structure discovery in narrative multimedia
OJ Lee, JJ Jung – Proceedings of the 9th International Conference on …, 2019 – dl.acm.org
… KEYWORDS Computational Narrative, Story Analytics, Character Network, Plot Structure Discovery ACM Reference Format: O-Joun Lee and Jason J. Jung. 2019. Character Network Embedding-based Plot Structure Discovery in Narrative Multimedia …

Investigating the Use of Word Embeddings to Estimate Cognitive Interest in Stories.
M Behrooz, J Robertson, A Jhala – CogSci, 2019 – cogsci.mindmodeling.org
… In computational narrative generation, the communication context for which the narratives are generated plays an in- tegral role in determining both the method constraints dur- ing the generation and the evaluation metrics for the result- ing narratives …

Ten simple rules for writing and sharing computational analyses in Jupyter Notebooks
A Rule, A Birmingham, C Zuniga, I Altintas, SC Huang… – 2019 – journals.plos.org
… previously kept code, documentation, and results in separate files, they increasingly use computational notebooks such as Jupyter Notebooks and R Notebooks to both perform analyses and combine code, results, and descriptive text in a single “computational narrative” to be …

ShowRunner: A Tool for Storyline Execution/Visualization in 3D Game Environments
R Sanghrajka, RM Young, B Salisbury… – … Conference on Interactive …, 2019 – Springer
… Keywords. Story execution Game environments Cinematic visualization of stories. Download conference paper PDF. 1 Introduction. The domain of computational narrative is growing steadily, using algorithmic approaches to construct plot and narrative …

Corpus Development for Studying Online Disinformation Campaign: A Narrative+ Stance Approach
M Blackburn, N Yu, J Berrie, B Gordon… – Proceedings for the …, 2020 – aclweb.org
… We developed an approach to extract individual narrative elements in a clearly interpretable form, drawing on work from information extraction and computational narratology … Our approach is closest to these computational narrative analyses …

Exploring West African Folk Narrative Texts Using Machine Learning
G Lô, V de Boer, CJ van Aart – Information, 2020 – mdpi.com
… The well-arranged layout of the three-act structure makes it a frequently used structure both in computational narratology research and in … argue that in developing cross-cultural computational narrative models, one should be sensitive to culture-specific logic and relations …

Jupyter notebooks for computer-based laboratories on electrical energy systems
GM Jónsdóttir, F Milano – … Learning Technologies Palma, Spain. 1-3 …, 2019 – faraday1.ucd.ie
… visualizing results. The term “computational narrative” has been coined for these virtual notebooks and summarizes well their features. The authors have taught the module “Electrical Energy Systems” for three years now. In …

Fueling Research Transparency: Computational Notebooks and the Discussion Section
S Koster, F Rowe – REGION, 2019 – openjournals.wu.ac.at
… Computational notebooks allow one to present analyses and integrate code, specialised software, dependencies, results and descriptive text into a single ‘computational narrative’ to be shared, read and executed by others …

Interactive Narrative Authoring Using Cognitive Models in Narrative Planning
R Sanghrajka – Proceedings of the AAAI Conference on Artificial …, 2019 – aaai.org
… To this end, I am interested in bringing these tools for computational narrative generation to assist a human author … The process would be an interactive process where both the human author and the computational narrative generator can collaborate to generate narrative …

The Art of Narration and Artificial Narrative Intelligence: Implications for Interdisciplinary Research
IA Livytska – Journal of Narrative and Language Studies, 2019 – researchgate.net
… The arising new field of computational narrative intelligence is deeply rooted in cognitive understanding of narrative as a certain … That’s where AI can substantially benefit from the Humanities; while computational narratology strives at formulating logistic, formalist and objectivist …

Free indirect discourse: an insurmountable challenge for literary MT systems?
K Taivalkoski-Shilov – Proceedings of the Qualities of Literary Machine …, 2019 – aclweb.org
… As Mani (2013, section 4) writes: “[In computational narratology] Story understanding systems (eg Wilensky 1978) never got very far, since (i) inferring characters’ goals involves a large search space and the inferences may need to be revised during processing and (ii) humans …

Designing a socially open narrative generation system
T Akimoto, T Ogata – Natural Language Processing: Concepts …, 2020 – igi-global.com
… Takashi Ogata Iwate Prefectural University, Japan Page 2. 744 Designing a Socially Open Narrative Generation System for expanding and supporting creative activity and a content industry with computational narrative cre- ativity …

Adapting Automatic Summarization to New Sources of Information
JJ Ouyang – 2019 – academiccommons.columbia.edu
… 1.1 A Brief History of (Computational) Narratology The study of narrative (in general, as opposed to personal narrative in particular) spans … follower, etc.) does not. Fittingly, the study of computational narrative began with the …

Lectures on Microstate Geometries
NP Warner – arXiv preprint arXiv:1912.13108, 2019 – arxiv.org
… in five di- mensions. Since these are graduate lectures, they involve a strongly computational narrative intended to build some proficiency and understanding of supersymmetric solitons in five-dimensions. The narrative also …

Blending under deconstruction: the roles of logic, ontology, and cognition in computational concept invention
R Confalonieri, O Kutz – 2019 – bia.unibz.it
… This paper aims at presenting a coherent computational narrative, focusing on how one may derive a formal reconstruction of concep- tual blending from a deconstruction of the human ability of concept invention into some of its core components …

Towards Computational Notebooks for IoT Development
F Corno, L De Russis, JP Sáenz – Extended Abstracts of the 2019 CHI …, 2019 – dl.acm.org
… They are designed to support the construction and sharing of computational narratives by enabling data analysts to arrange code, visualizations, and text in a computational narrative [4, 7]. These literate computing tools are based on cells, each of which contains rich text or …

Blending under deconstruction
R Confalonieri, O Kutz – Annals of Mathematics and Artificial Intelligence, 2019 – Springer
… This paper aims at presenting a coherent computational narrative, focusing on how one may derive a formal reconstruction of concep- tual blending from a deconstruction of the human ability of concept invention into some of its core components …

Dynamic evolution of sentiments in Never Let Me Go: Insights from multifractal theory and its implications for literary analysis
Q Hu, B Liu, M Thomsen, J Gao, K Nielbo – 2019 – hal.archives-ouvertes.fr
… in the time- varying Hurst exponent. We argue that these findings are indicative of the potential multifractal theory has for computational narratology and large-scale literary analysis. Specifically, that the global Hurst exponent …

Computing environments for reproducibility: Capturing the Whole Tale
A Brinckman, K Chard, N Gaffney, M Hategan… – Future Generation …, 2019 – Elsevier
… a second layer of research output, linking publications to the associated data, has emerged [2]. This is now followed by the recognition of an important and new third layer: communicating the process of inquiry itself, ie, a complete computational narrative, through the linking and …

How data scientists use computational notebooks for real-time collaboration
AY Wang, A Mittal, C Brooks, S Oney – … of the ACM on Human-Computer …, 2019 – dl.acm.org
… and reorganizing content [28]. Most of these innovations are designed and evaluated for sharing the computational narrative after it is finished, leaving data scientists to work on individual notebooks. Recently, tools like Google …

From Chess and Atari to StarCraft and Beyond: How Game AI is Driving the World of AI
S Risi, M Preuss – KI-Künstliche Intelligenz, 2020 – Springer
… Most prominently, areas with a focus on using AI for design and production of games emerged, such as procedural content generation (PCG), computational narrative (nowadays also known as interactive storytelling), and AI-assisted game design …

Scene Linking Annotation and Automatic Scene Characterization in TV Series.
A Berhe, C Guinaudeau, C Barras – Text2Story@ ECIR, 2020 – ceur-ws.org
… The field of computational narrative links the daily human activities (narratives) and the computing world (machines com- putations) by analyzing and modelling narratives, narrative understanding and machine readable representation of narratives with a purpose of enabling …

A Stakeholder-Engaged Process for Refining the Design of a Hospice Clinical Trial (CS203B)
J Tjia, M Clayton… – Journal of Pain and …, 2020 – jpsmjournal.com
… Story Arcs: A Computational Narrative Analysis of Palliative Care Serious Illness Conversations (CS203C) Robert Gramling, MD DSC, University of Vermont. Margaret Eppstein, PhD, University of Vermont. Chris Danforth, PhD, University of Vermont …

Transforming Heritage Crafts to engaging digital experiences
N Partarakis, X Zabulis, M Antona… – Visual Computing for …, 2020 – Springer
… In the Artificial Intelligence field, computational narratology refers to story generation systems, ie computer applications that create a symbolic (written, spoken, or visual) presentation of a story, typically … The theory and implementation of one model for computational narrative …

Narrative Discourse as an Emergent Phenomenon: Global Semiotic Approach
I Livytska – 2020 – preprints.org
… worldmaking as a form of virtual reality has been long discussed in philosophy of art, language and mind, with the special emphasis on modulating different virtual artificial systems of signs in computer programmes and simulators, being proponed by computational narratology …

Festschrift in honor of Oliviero Stock——Preface
M Gori, RL de Mantaras, C Strapparava – Annals of Mathematics and …, 2020 – Springer
… In “Blending under deconstruction: the roles of logic, ontology, and cognition in com- putational concept invention”, Roberto Confalonieri and Oliver Kutz present a coherent computational narrative on how to reconstruct formally conceptual blending aspects …

Past, Non-Story Narrative Film, and Nostalgia
A Kanai – Post-Narratology Through Computational and …, 2019 – igi-global.com
… Also, computational narrative film rhetoric composition system, in particular with regards to the specific place and the past with or without story and nostalgia effects is argued. The Nostalgia effects are essential for cognition about the past …

Story Arcs in Serious Illness: Natural Language Processing features of Palliative Care Conversations
L Ross, CM Danforth, MJ Eppstein, LA Clarfeld… – Patient Education and …, 2019 – Elsevier
… and desirability, and from sadder toward happier lexicon. This computational narrative approach holds promise for developing a taxonomy of serious illness conversations. Future research is needed to confirm these findings …

Critique as Creativity: Towards Developing Computational Commentators on Creative Works.
DH Fisher, H Shin – ICCC, 2019 – computationalcreativity.net
… The multivalence of criticism leads to benefits to the ICCC community of developing computational critics, perhaps the most obvious of which is that criticism represents a literary tradition that is under-represented in computational narrative generation, and in some human …

Some Notes on the Possibile Role of Cognitive Architectures in Serious Games
M Gentile, G Città, A Lieto, M Allegra – International Conference on Games …, 2019 – Springer
… The experts identified ten different research themes (ie Non-player character (NPC) behavioral learning, Search and planning, Player modelling, Games as AI benchmarks, Procedural content generation, Computational narrative, Believable agents, AI-assisted game design …

Evaluation of an automatically-constructed graph-based representation for interactive narrative
N Partlan, E Carstensdottir, E Kleinman… – Proceedings of the 14th …, 2019 – dl.acm.org
… This understanding enables improvements to computational narrative analysis and future work on AI support for interactive narrative design, with a focus on modeling player interactions in a way that is interpretable and usable for designers …

Callisto: Capturing the” Why” by Connecting Conversations with Computational Narratives
AY Wang, Z Wu, C Brooks, S Oney – … of the 2020 CHI Conference on …, 2020 – dl.acm.org
… context [42]. Although having a well-documented computational narrative offers many benefits, it is challenging for data scientists to maintain an updated explanation and a clean notebook during the exploration process [39]. When …

Systems Engineering Grand Challenges in Security and Safety
T McDermott, LD Strawser, D Farber, M Yokell… – Systems Engineering in …, 2019 – Springer
… Riedl, M. (2017). Computational narrative intelligence: Past, present, and future. Medium, October 24. Available from https://medium.com/@mark_riedl/computational-narrative- intelligence-past-present-and-future-99e58cf25ffa/. 15 …

A course on geographic data science
D Arribas-Bel – Journal of Open Source Education, 2019 – jose.theoj.org
… Journal of Open Source Education, 2(14), 42. https://doi.org/10.21105/jose.00042 2 Page 3. Each notebook is conceived as a self-contained computational narrative where theoret- ical concepts are threaded with programming illustrations. The aim of this strategy is twofold …

Expert Panel Endorsed Quality Metrics for End-of-Life Care for Children with Cancer: Results of a Modified Delphi Panel (CS203A)
E Johnston, I Martinez, S Bhatia – Journal of Pain and Symptom …, 2020 – jpsmjournal.com
… Story Arcs: A Computational Narrative Analysis of Palliative Care Serious Illness Conversations (CS203C) Robert Gramling, MD DSC, University of Vermont. Margaret Eppstein, PhD, University of Vermont. Chris Danforth, PhD, University of Vermont …

Automatic Characterization of Stories
S Kar – 2020 – uh-ir.tdl.org
… 10 1.4.1 Publications . . . . . 12 I Fundamentals of High-level Story Characterization 15 2 Background 16 2.1 Computational Narrative Studies: An Overview . . . . . 16 2.1.1 Characters and their Activities …

Software Engineering for Computational Science (Presentation)
A Johanson, W Hasselbring – 2019 – eprints.uni-kiel.de
… computational output, – explanatory text and – multimedia resources in a single document. • Besides exploration, the result may be a “computational narrative” – A document that allows researchers to supplement their code and data with analysis, hypotheses and conjecture …

Teaching Game AI as an Undergraduate Course in Computational Media.
AM Smith, D Shapiro – AAAI, 2020 – adamsmith.as
… For these authors, post-gap AI in Games is not simply the intersection or union of the categories identified earlier. They identify further AI topics popular in technical games research, including computational narrative, but leave these out to control the scope of their book …

A Tale of Computing and Gatekeeping.
D HARRELL – Hyperrhiz, 2019 – search.ebscohost.com
… He is the director of the MIT Center for Advanced Virtuality. His research explores the relationship between imagination and computation and involves inventing new forms of VR, computational narrative, videogaming for social impact, and related digital media forms …

Interactive Narrative Generation Using Location and Genre Specific Context
J Womack, W Freeman – International Conference on Interactive Digital …, 2019 – Springer
… Entertainment, pp. 93–98. AAAI Press, Marina del Rey (2005)Google Scholar. 11. Riedl, MO: Computational narrative intelligence: a human-centered goal for artificial intelligence. ArXiv (2016)Google Scholar. 12. Martin, LJ, et …

Effective Anchoring for Multimodal Narrative Intelligence
KR Chandu – 2020 – cs.cmu.edu
… With the advent of virtual beings co-existing and sharing the ecosystem with us, it is time to teach them this skill. This reverberates the necessity of computational narrative intelligence from traditional standpoints (Schank (1990); Opt …

The Employment Status and Support Needs of Persons With Disabilities in Japan: Analysis and Generation of Narrative Using a Narratology and Text Mining
K Seino, Y Haruna, S Ishizaki – Post-Narratology Through …, 2019 – igi-global.com
… Regarding these applied studies, Ogata (1999) suggested a study framework called “computational narratology.” This research offered a literary study frame that fused understanding of narratology with the generation of narrative by using artificial intelligence and cognitive …

Aesop: Authoring Engaging Digital Storytelling Experiences
A Saini, K Mathur, A Thukral, N Singhal… – The Adjunct Publication …, 2019 – dl.acm.org
… 1996. Do Story Agents Use Rocking Chairs? The Theory and Implementation of One Model for Computational Narrative. In Proceedings of the Fourth ACM International Conference on Multimedia (MULTIMEDIA ’96). ACM, New York, NY, USA, 317–328 …

Semantic Storytelling: Towards Identifying Storylines in Large Amounts of Text Content.
G Rehm, K Zaczynska, J Moreno – Text2Story@ ECIR, 2019 – ceur-ws.org
… In contrast to template-filling approaches [MSBR17], we will focus on approaches that are based on computational narratology to generate narrative structures of story lines, while using automatically extracted information and external knowledge provided as Linked Open Data …

Designing chain reaction contraptions from causal graphs
R Roussel, MP Cani, JC Léon, NJ Mitra – ACM Transactions on Graphics …, 2019 – dl.acm.org
… Chains of events were also studied for video games and computational narratology, eg with the goal of finding a consistent causal order among events [Riedl and Young 2006]. In our setting however, the causal chain is fully specified by the user …

The 3 International Workshop on Narrative Extraction from Texts: Text2Story 2020
R Campos, A Jorge, A Jatowt, S Bhatia – European Conference on …, 2020 – Springer
… language teaching. In: Arnedo-Moreno, J., González, CS, Mora, A. (eds.) GamiLearn 2019 (2019) 17. Riedl, O.: Computational narrative intelligence: a human-centered goal for artificial intelligence. arxiv.org (2016) 18. Seifert …

The Robotic Reporter In The Czech News Agency: Automated Journalism And Augmentation In The Newsroom
V MacKová, J Sido – Communication Today, 2020 – search.proquest.com
… From a theoretical background, researchers need to focus on areas such as text linguistics, computational narrative and knowledge engineering.9 Claims are increasing for journalists, who can now use data analysis or programming skills.10 It will therefore be “a combination of …

From Trend Analysis to New Virtual World System Design Requirements and Requirement Satisfaction Study
B Shen, W Tan, J Guo, B Wang – arXiv preprint arXiv:2001.02433, 2020 – arxiv.org
… They have become either the dominant or the secondary method in NPC behavior learning, player modeling, PCG, computational narrative, believable agents, AI-assisted game design, and general game AI (Yannakakis & Togelius, 2015) …

Improving productivity in Hollywood with data science: Using emotional arcs of movies to drive product and service innovation in entertainment industries
M Del Vecchio, A Kharlamov, G Parry… – Journal of the …, 2020 – Taylor & Francis
… While for many centuries, the emotional content of stories was largely a subject of linguistic analysis in humanities’ research, recent advances in Natural Language Processing (NLP) and computational narratology allow scientists to significantly advance the sentiment analysis …

Generative design in Minecraft: chronicle challenge
C Salge, C Guckelsberger, MC Green… – arXiv preprint arXiv …, 2019 – arxiv.org
… Existing approaches to generating text in specific styles could also be of interest, but they yet often struggle with adhering to a cohesive structure. There are also a wide range of more structural approaches to computational narrative generation …

The 3\documentclass [12pt]{minimal}\usepackage {amsmath}\usepackage {wasysym}\usepackage {amsfonts}\usepackage {amssymb}\usepackage {amsbsy} …
R Campos, A Jorge, A Jatowt… – Advances in Information …, 2020 – europepmc.org
… language teaching. In: Arnedo-Moreno, J., González, CS, Mora, A. (eds.) GamiLearn 2019 (2019). 17. Riedl, O.: Computational narrative intelligence: a human-centered goal for artificial intelligence. arxiv.org (2016). 18. Seifert …

Atomising the News: The (In) Flexibility of Structured Journalism
R Jones, B Jones – Digital Journalism, 2019 – Taylor & Francis
… 2017. “Automated Journalism 2.0: Event-driven narratives.” Journalism Practice 12 (4): 477–496.[Taylor & Francis Online], [Web of Science ®] , [Google Scholar], 4). The project is “evaluating the feasibility of computational narrative structures as the basis of new forms of …

Enabling collaborative numerical modeling in earth sciences using knowledge infrastructure
C Bandaragoda, A Castronova, E Istanbulluoglu… – … Modelling & Software, 2019 – Elsevier
JavaScript is disabled on your browser. Please enable JavaScript to use all the features on this page. Skip to main content Skip to article …

Can Computers Create Comics and Animations?
M Ueno, K Fukuda, N Mori – Natural Language Processing …, 2020 – igi-global.com
… In this chapter, these studies are introduced using examples, in order to demonstrate the fundamental techniques of computational narratology and the challenges involved in the quantification of story creation. BACKGROUND …

Consideration of Fundamental Methods and Principles for Human-Computer Co-Creation of Narratives
T Akimoto, T Ogata – Post-Narratology Through Computational and …, 2019 – igi-global.com
… This activity is building a singular and rich culture. Co-creation is a valid approach for the problem of narrative generation, and the co-creative narrative generation system aims to drive this type of activity by the computational narrative creativity …

The Possibility of the Generation of Literary Works by Abduction
A Abe – Post-Narratology Through Computational and …, 2019 – igi-global.com
… Accordingly, the generated poems seem to be composed by Yuming. Ogata proposed Computational Narratology (Ogata, 1998). His method is based on the narratology of Propp (Propp, 1968) and Genette (Genette, 1972) …

Building Information Models’ data for machine learning systems in construction management
D Kifokeris, M Roupé, M Johansson, C Koch – 2019 – repozitorium.omikk.bme.hu
… https://doi.org/10.1007/978-3-030-00220-6_17 [11] CL Yeung, WM Wang, CF Cheung, E. Tsui, R. Setchi, RWB Lee, Computational narrative mapping for the acquisition and representation of lessons learned knowledge, Engineering Applications of Artificial Intelligence 71 (2018 …

Big data and machine learning for global evaluation of habitat suitability of European forest species
T Beker – 2019 – politesi.polimi.it
Page 1. Big Data and machine learning for global evaluation of habitat suitability of European forest species Teo Beker Student Id: 876183 Advisor: Prof. Marco Brambilla Ingegneria Civile, Ambientale e Territoriale Politecnico di Milano This thesis is submitted for the degree of …

Structured journalism and the semantic units of news
D Caswell – Digital Journalism, 2019 – Taylor & Francis
AbstractThe growing influence of computation on news has intensified the need for an analytical framework that describes the common foundations of different computational approaches to journalism. …

Computational Media and the Core Concepts of Narrative Theory
HR Roine – Narrative, 2019 – muse.jhu.edu
… Mani, Inderjeet. “Computational Narratology.” In the living handbook of narratology, edited by Peter Hühn et al. Hamburg: Hamburg Univ., 2013. http://www.lhn.uni-hamburg.de/article/ computational-narratology (accessed 19 August 2018). Manoff, Marlene …

Identifying Therapist and Client Personae for Therapeutic Alliance Estimation.
VR Martinez, N Flemotomos, V Ardulov… – …, 2019 – researchgate.net
… 37, no. 1-2, 2013. [13] M. Riedl, “Computational Narrative Intelligence: Past, Present, and Future,” https://bit.ly/2rA3PTE, Oct. 2017, accessed: 2019- 04-02. [14] JM Hall and J. Powell, “Understanding the person through nar- rative,” Nursing research and practice, vol. 2011, 2011 …

Narratology
G Prince – Oxford Research Encyclopedia of Literature, 2019 – oxfordre.com
Narratology studies what all and only possible narratives have in common as well as what allows them to differ from one another qua narratives, and it attempts to characterize the narratively pertinent set of rules and norms governing narrative production and processing. This structuralist …

Can Computers Understand Picture Books and Comics?
M Ueno, K Fukuda, N Mori – Post-Narratology Through …, 2019 – igi-global.com
… pictures. In this chapter, these studies are introduced using examples, in order to demonstrate the fundamental techniques of computational narratology and the challenges involved in the quantification of story creation. This …

Mathematical Possibilities in Modernism: Can Literature be a System?
A Chattopadhyay – Journal of Humanistic Mathematics, 2020 – scholarship.claremont.edu
… As the narrator carries on with his computational narrative hypotheses, readers are constantly reminded of Skiller (evoking skill?), the insurance company representative who is coming soon to meet the narrator and discuss his findings …

Using Computers in the Translation of Literary Style: Challenges and Opportunities
R Youdale – 2019 – books.google.com
Page 1. Routledge Advance in Translation and Interpreting Studies USING COMPUTERS IN THE TRANSLATION OF LITERARY STYLE CHALLENGES AND OPPORTUNITIES Roy Youdale Page 2. Using Computers in the Translation …

Knowledge-Powered Inference of Crowd Behaviors in Semantically Rich Environments
X Zhang, D Schaumann, P Faloutsos… – Proceedings of the AAAI …, 2019 – aaai.org
Page 1. Proceedings of the Fifteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE-19) Knowledge-Powered Inference of Crowd Behaviors in Semantically Rich Environments Xun Zhang …

Learning Hierarchical Representations of Stories by Using Multi-Layered Structures in Narrative Multimedia
O Lee, JJ Jung, JT Kim – Sensors, 2020 – mdpi.com
… Keywords: hierarchical representation learning; computational narrative analysis; story embedding; Story2Vec; character network hierarchical representation learning; computational narrative analysis; story embedding; Story2Vec; character network. 1. Introduction …

Narrative structure in the mind: Translating Genette’s narrative discourse theory into a cognitive system
T Akimoto – Cognitive Systems Research, 2019 – Elsevier
JavaScript is disabled on your browser. Please enable JavaScript to use all the features on this page. Skip to main content Skip to article …

Hierarchical Encoders for Modeling and Interpreting Screenplays
G Bhat, A Saluja, M Dye, J Florjanczyk – arXiv preprint arXiv:2004.14532, 2020 – arxiv.org
Page 1. Hierarchical Encoders for Modeling and Interpreting Screenplays Gayatri Bhat? Bloomberg LP New York, NY, USA gbhat7@bloomberg.net Avneesh Saluja Melody Dye Jan Florjanczyk Netflix Los Angeles, CA, USA {asaluja,mdye,jflorjanczyk}@netflix.com Abstract …

Mapping the Landscape of Literate Computing
BV Fog, CN Klokmose – … of the 30th Annual Workshop of …, 2019 – pdfs.semanticscholar.org
… The most prevalent expression of literate computing right now is the computational notebook. However, as we have presented, it has its drawbacks, such as the implied linear structure and the insistence in supporting one computational narrative …

Models of good teaching practices for mobile learning in higher education
JM Romero-Rodríguez, I Aznar-Díaz… – Palgrave …, 2020 – nature.com
Mobile learning is an emerging teaching methodology in the university system. Every year, the International Horizon Reports highlight the trend of implementing mobile devices in the classroom. Therefore, the Spanish university system presents the current challenge of adapting …

Classification of Characters in Movie by Correlation Analysis of Genre and Linguistic Style
ES You, JW Song, SB Park – ????????????, 2019 – dbpia.co.kr
… in 2007. She is currently a researcher in the Artificial Intelligence Content Creation Research Center at INHA University. Her interests include computational narrative, deep learning, natural language processing. Jae-Won Song …

Curating Interest in Open Story Generation
M Behrooz – 2019 – escholarship.org
Page 1. UC Santa Cruz UC Santa Cruz Electronic Theses and Dissertations Title Curating Interest in Open Story Generation Permalink https://escholarship.org/uc/item/3sm8s1zd Author Behrooz, Morteza Publication Date 2019 Peer reviewed|Thesis/dissertation …

Learning Norms from Stories: A Prior for Value Aligned Agents
S Frazier, MSA Nahian, M Riedl, B Harrison – arXiv preprint arXiv …, 2019 – arxiv.org
… In Workshops at the Thirtieth AAAI Conference on Artificial Intelligence. [2016] Riedl, MO 2016. Computational narrative intel- ligence: A human-centered goal for artificial intelligence. CoRR abs/1602.06484. [2015] Russell, S.; Dewey, D.; and Tegmark, M. 2015 …

Learning Norms from Stories: A Prior for Value Aligned Agents
MSA Nahian, S Frazier, M Riedl… – Proceedings of the AAAI …, 2020 – dl.acm.org
Page 1. Learning Norms from Stories: A Prior for Value Aligned Agents Md Sultan Al Nahian? University of Kentucky Lexington, Kentucky, USA sa.nahian@uky.edu Spencer Frazier? Georgia Institute of Technology Atlanta, Georgia, USA sfrazier7@gatech.edu …

Story embedding: Learning distributed representations of stories based on character networks
OJ Lee, JJ Jung – Artificial Intelligence, 2020 – Elsevier
… movies in the real world. Previous article in issue; Next article in issue. Keywords. Character network. Story analytics. Computational narrative. Story embedding. Story2Vec. 1. Introduction. Various studies have been conducted to …

A Structural Approach to the Monomyth in Contemporary Action Cinema: Dredd, John Wick, and Mad Max: Fury Road
S Veleski – 2019 – thesiscommons.org
… a proto-structuralist figure. Similar ideas have been recently picked up by proponents of computational narratology, (Jockers) (Reagan et al.) who, with the help of text processing, discovered a bias for six prototypical story structures in literature, providing a solid methodology …

DramaQA: Character-Centered Video Story Understanding with Hierarchical QA
S Choi, KW On, YJ Heo, A Seo, Y Jang, S Lee… – arXiv preprint arXiv …, 2020 – arxiv.org
Page 1. DramaQA: Character-Centered Video Story Understanding with Hierarchical QA Seongho Choi1, Kyoung-Woon On1, Yu-Jung Heo1, Ahjeong Seo1, Youwon Jang1, Seungchan Lee1, Minsu Lee1, and Byoung-Tak Zhang1,2 …

Reproducible big data science: A case study in continuous FAIRness
R Madduri, K Chard, M D’Arcy, SC Jung, A Rodriguez… – PloS one, 2019 – journals.plos.org
Big biomedical data create exciting opportunities for discovery, but make it difficult to capture analyses and outputs in forms that are findable, accessible, interoperable, and reusable (FAIR). In response, we describe tools that make it easy to capture, and assign identifiers to, data …

Semalytics: a semantic analytics platform for the exploration of distributed and heterogeneous cancer data in translational research
A Mignone, A Grand, A Fiori, E Medico, A Bertotti – Database, 2019 – academic.oup.com
Abstract. Each cancer is a complex system with unique molecular features determining its dynamics, such as its prognosis and response to therapies. Understandi.

Lyra: Simulating Believable Opinionated Virtual Characters
S Azad, C Martens – Proceedings of the AAAI Conference on Artificial …, 2019 – aaai.org
… In Workshops at the Thir- tieth AAAI Conference on Artificial Intelligence. Riedl, MO 2016. Computational narrative intelligence: A human-centered goal for artificial intelligence. arXiv preprint arXiv:1602.06484. Rowe, JP; Ha, EY; and Lester, JC 2008 …

A shared task for the digital humanities: annotating narrative levels
E Gius, N Reiter, M Willand – 2019 – elib.uni-stuttgart.de
Page 1. A Shared Task for the Digital Humanities: Annotating Narrative Levels? Special Issue of Cultural Analytics Evelyn Gius, Nils Reiter, Marcus Willand (editors) ?This PDF was compiled using the articles provided by Cultural …

Examining the role of knowledge management and technology operating capabilities in the development of customer-centric organisational systems
W Munyanyi, D Pooe – Acta Commercii, 2019 – scielo.org.za
… Yeung, CL, Wang, WM, Cheung, CF, Tsui, E., Setchi, R. & Lee, RW, 2018, ‘Computational narrative mapping for the acquisition and representation of lessons learned knowledge’, Engineering Applications of Artificial Intelligence 71, 190-209 …

Narrative Text Generation via Latent Embedding from Visual Stories
??? – 2019 – s-space.snu.ac.kr

Artificial intelligence moving serious gaming: Presenting reusable game AI components
W Westera, R Prada, S Mascarenhas… – Education and …, 2020 – Springer
This article provides a comprehensive overview of artificial intelligence (AI) for serious games. Reporting about the work of a European flagship project on serious game technologies, it presents a…

Narrelations—Visualizing Narrative Levels and their Correlations with Temporal Phenomena.
H Schwan, J Jacke, R Kleymann… – DHQ: Digital …, 2019 – search.ebscohost.com
Page 1. 1 DHQ: Digital Humanities Quarterly 2019 Volume 13 Number 3 Narrelations — Visualizing Narrative Levels and their Correlations with Temporal Phenomena Hannah Schwan
The process of information systems theorizing as a discursive practice
NR Hassan, L Mathiassen… – Journal of Information …, 2019 – journals.sagepub.com
Although there has been a growing understanding of theory in the information systems field in recent years, the process of theorizing is rarely addressed with contributions originating from other d…

Black Girls Accepting the Grand Challenge: A Qualitative Exploration of a Summer Engineering Program’s Influence on Black Girls’ Racial Identity, Engineering …
W McCoy – 2020 – repository.lib.ncsu.edu
Page 1. ABSTRACT MCCOY, WHITNEY NICOLE. Black Girls Accepting the Grand Challenge: A Qualitative Exploration of a Summer Engineering Program’s Influence on Black Girls’ Racial Identity, Engineering Identity, and STEM Self-Efficacy …

Computational Approaches to Comics Analysis
J Laubrock, A Dunst – Topics in Cognitive Science, 2020 – Wiley Online Library
Abstract Comics are complex documents whose reception engages cognitive processes such as scene perception, language processing, and narrative understanding. Possibly because of their complexity, t…

Proposal of a Hybrid Approach for Natural Language Generation and its Application to Human Language Technologies
C Barros – 2019 – rua.ua.es
Page 1. Proposal of a Hybrid Approach for Natural Language Generation and its Application to Human Language Technologies Cristina Barros Catalán Page 2. Departamento de Lenguajes y Sistemas Informáticos Escuela Politécnica Superior Proposal of a Hybrid Approach for …

Eudaimonic Appreciation in Interactive Narrative
K Chen – 2020 – search.proquest.com
Page 1. 1 Thesis-Dissertation Approval Form and Signature Page.png Thesis-Dissertation Approval Form and Signature Page.bb Page 2. Page 3. Eudaimonic Appreciation in Interactive Narrative A Thesis Submitted to the Faculty of Drexel University by Kenneth Chen …

Conceptual Map Creation from Natural Language Processing: a Systematic Mapping Study.
V Santos, É Ferreira de Souza… – … de Informática na …, 2019 – pdfs.semanticscholar.org
Page 1. Cite as: Santos, V, Souza, EF, Felizardo, K. R,. Watanabe, WM, Vijaykumar, NL, Aluizio, SM & Candido, A. (2019). Conceptual Map Creation from Natural Language Processing: a Systematic Mapping Study. Brazilian …

Criação conceitual de mapas a partir do processamento de linguagem natural: um mapeamento sistemático
V dos Santos, ÉF de Souza, KR Felizardo… – Revista Brasileira de …, 2020 – br-ie.org
Page 1. Cite as: Santos, V, Souza, EF, Felizardo, K. R,. Watanabe, WM, Vijaykumar, NL, Aluizio, SM & Candido, A. (2019). Conceptual Map Creation from Natural Language Processing: a Systematic Mapping Study. Brazilian …

Rethinking technologies for behavior change: A view from the inside of human change
A Rapp, M Tirassa, L Tirabeni – ACM Transactions on Computer-Human …, 2019 – dl.acm.org
Page 1. 22 Rethinking Technologies for Behavior Change: A View from the Inside of Human Change AMON RAPP, MAURIZIO TIRASSA, and LIA TIRABENI, University of Torino Human-Computer Interaction researchers are …

Human-Computer Interaction. Perspectives on Design: Thematic Area, HCI 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Orlando …
M Kurosu – 2019 – books.google.com
… 559 Dimitrios Mourouzidis, Vasilios Floros, and Christina Alexandris Author-Driven Approaches to Computational Narrative Design for Games . . . 571 David John Tree and Alessio Malizia Author Index …

Automated Structural Analysis of Interactive Narratives
E Carstensdottir – 2020 – search.proquest.com
Page 1. Page 2. Page 3 …

Analysis of online news coverage on earthquakes through text mining
S Camilleri, MR Agius, J Azzopardi – Frontiers in Earth Science, 2020 – researchgate.net
Page 1 …

The evaluation of creative systems
G Ritchie – Computational Creativity, 2019 – Springer
Page 1. Chapter 8 The Evaluation of Creative Systems Graeme Ritchie Abstract As creative systems become more advanced, there is a growing need to assess their performance, whether during development or after implementation is complete …

The campfire storytelling system–automatic creation and modification of a narrative
JR Hollister, AJ Gonzalez – Journal of Experimental & Theoretical …, 2019 – Taylor & Francis
This paper presents and evaluates a method for automatically generating a narrative that includes initial input from the listener, without forcing him/her to become an actual character in the story…

Is Performance of Scholars Correlated to Their Research Collaboration Patterns
HJ Jeon, OJ Lee, JJ Jung – Front. Big Data 2: 39. doi …, 2019 – pdfs.semanticscholar.org
Page 1 …

Storytelling Beyond The
KS Paulsen, S Ungermand, MH Engermann, M Faria… – 2019 – vb.northsearegion.eu
Page 1. STORYTELLING BEYOND THE SCREEN Creating Narratives For Immersive And Interactive Spaces Filmby Aarhus / VIA Film & Transmedia / Create Converge – European Union North Sea Region VB programme Create Converge Page 2. Storytelling Beyond …

Conceptual Representations for Computational Concept Creation
A CARDOSO, J CORREIA, P MACHADO, P MARTINS… – 2019 – eecs.qmul.ac.uk
Page 1. 9 Conceptual Representations for Computational Concept Creation PING XIAO, HANNU TOIVONEN, and OSKAR GROSS, University of Helsinki AMÍLCAR CARDOSO, JOÃO CORREIA, PENOUSAL MACHADO, PEDRO …

Tension Space Anaylsis for Emergent Narrative
B Kybartas, C Verbrugge… – IEEE Transactions on …, 2020 – ieeexplore.ieee.org
Page 1. 2475-1502 (c) 2020 IEEE. Personal use is permitted, but republication/ redistribution requires IEEE permission. See http://www.ieee.org/ publications_standards/publications/rights/index.html for more information. This …

There’s no good excuse for the kind of shit I’ve made up A Narratological-empiric investigation into actual readers’ perceptions of unreliability in digital app-novella …
A Salminen – 2020 – helda.helsinki.fi
Page 1. “There’s no good excuse for the kind of shit I’ve made up” A Narratological-empiric investigation into actual readers’ perceptions of unreliability in digital app-novella Pry (2014/2016) Anne Salminen Master’s thesis Comparative Literature Faculty of Arts …

A Critical Bricoleur Assumes Positve Intent: Pablito’s Problem
P Pérez-Jiménez – 2019 – search.proquest.com
Page 1. A CRITICAL BRICOLEUR ASSUMES POSITIVE INTENT: PABLITO?S PROBLEM A Dissertation by PAUL PÉREZYJIMÉNEZ Submitted to the Graduate College of The University of Texas Rio Grande Valley In partial fulfillment of the requirement for the degree of …