Notes:
Narrative intelligence is the ability to understand, analyze, and generate narratives. It involves the ability to identify the key elements of a narrative, such as characters, plot, and themes, and to understand the ways in which these elements interact to create a cohesive story.
Narrative intelligence is related to natural language processing in that natural language processing is one of the key tools used to study and analyze narratives. Natural language processing is the use of algorithms and other computational techniques to process and analyze natural language data, such as text and speech. By using natural language processing to analyze narrative texts, it is possible to identify key elements of the narrative, such as characters and events, and to understand how these elements relate to each other and contribute to the overall story.
In addition, natural language processing can be used to generate narratives. This can involve using machine learning algorithms to train a model on a large collection of narrative texts, and then using that model to generate new narrative texts. This can be used to create new stories, or to help generate responses to user input in interactive narrative systems.
Narrative understanding refers to the process of comprehending and interpreting stories or narratives. It involves the ability to recognize and interpret the elements of a story, such as the plot, characters, and setting, and to understand the relationships between these elements and their meaning.
Narrative understanding and narrative intelligence are related in that they both involve the ability to comprehend and make sense of stories and narratives. However, while narrative understanding is concerned with the process of understanding stories and narratives, narrative intelligence involves the ability to use this understanding in a practical and effective way. In other words, narrative intelligence is the ability to apply narrative understanding in real-world situations.
Wikipedia:
References:
See also:
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… Keywords. Narrative intelligence Story Episodic memory Narratology Genette Narrative discourse theory Story-centered cognitive system. Download conference paper PDF. 1 Introduction … 15. Lönneker B (2005) Narratological knowledge for natural language generation …
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… Although information extraction and natural language processing have made significant progress towards automatic interpretation of texts, the problem of fully identifying and relating … Riedl, O.: Computational narrative intelligence: a human-centered goal for artificial intelligence …
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… Although connectionist models including deep neural networks are applied to various domains including image-recognition systems and end-to-end natural language processing systems, this type of approach does not fit the essential part of generative narrative cognition …
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… Instead of focusing on how to generate a narrative, STORYBOOK concentrates on how to take a story structure and create a natural language output in the story domain of Little Red Riding Hood. The story structure is created through the use of a finite state narrative planner …
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… Story analysis combines techniques in Natural Language Translation, Sentiment analysis and applies them to a corpus of stories to gain insights into the structures … (2016) who have begun to address the democratisation of computational narrative intelligence through the …
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A dataset for telling the stories of social media videos
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… Author Keywords Virtual assistants, social acceptance, natural language processing, sentiment analysis, user experience, trust, interactive devices, emotion analysis … In: AAAI fall symposium on narrative intelligence, pp 87–92 5. Lazlo Ring, Lin Shi, Kathleen Totzke, Timothy …
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… coupled to expressive gestures and vocalizations, which gives us the powers of what Thomas Reid calls our natural language … NARRATIVE INTELLIGENCE AND FEELINGS IN COGNITION 77 time becoming much more complex with intrusions from the other children and other …
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T Akimoto, T Ogata – Post-Narratology Through Computational and …, 2019 – igi-global.com
… This type of knowledge is applicable to various tasks of natural language processing, such as understanding and summarization, and also provides a basic knowledge for narrative generation … Natural language is a basic expression form …
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P Gervás – Proc. 5th AISB Symp. Comput. Creativity, 2018 – nil.fdi.ucm.es
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E Pashevich – 2018 – duo.uio.no
… Norwegian newsrooms. The technology of Natural Language Generation, powered by artificial intelligence, allows partial automation of mundane and repetitive tasks, while freeing … written materials. The Natural Language Generation (NLG) technology that lies at the core of …
Biologically Inspired Cognitive Architectures 2019: Proceedings of the Tenth Annual Meeting of the BICA Society
AV Samsonovich – 2019 – books.google.com
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Program understanding, the narrative hypothesis
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Lyra: Simulating Believable Opinionated Virtual Characters
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Story Quality as a Matter of Perception: Using Word Embeddings to Estimate Cognitive Interest
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DramaQA: Character-Centered Video Story Understanding with Hierarchical QA
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… video events. Video Story Question Answering requires the ability to discriminate what’s meaningful in a very long video, and also requires visual processing, natural language, and additional acoustic modeling. Recently, there …
Socially emotional brain-inspired cognitive architecture framework for artificial intelligence
AV Samsonovich – Cognitive Systems Research, 2020 – Elsevier
… To unleash the power of these elements in order to make behavior of the agent believable, one may need to add another functionality to the model, called narrative intelligence (Pentland and Feldman, 2007, Riedl and Young, 2010) …
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A Shirvani, R Farrell, SG Ware – Fourteenth Artificial Intelligence and …, 2018 – aaai.org
… Alireza Shirvani, Rachelyn Farrell, Stephen G. Ware Narrative Intelligence Lab, Department of Computer Science University of New Orleans, New Orleans, LA 70148, USA {ashirvan … First we translate all actions into short sentences using a simple natural language template …
Deep Reinforcement Learning for Interactive Narrative Planning.
P Wang – 2018 – repository.lib.ncsu.edu
… cognitive science communities for a long time. Narrative intelligence tasks, such as story … Skerry-Ryan, Stanton, Wu, Weiss, Jaitly, Yang, Xiao, Chen, Bengio & Le, 2017; Mehri et al., 2016; Sotelo et al., 2017), natural language processing and understanding (Kumar et al., 2016; …
Story scrambler-automatic text generation using word level rnn-lstm
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A Kasunic, G Kaufman – Proceedings of the First Workshop on …, 2018 – aclweb.org
… Just as recent work in natural language process- ing has criticized and sought ways to rectify the amplification of negative biases (eg gender bi- ases) in NLP techniques (Dwork et al., 2012; Zhao et al., 2017; Bolukbasi et al., 2016; Voigt et al., 2017), AI storytelling has the …
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R Farrell, SG Ware, LJ Baker – IEEE Transactions on Games, 2019 – ieeexplore.ieee.org
… There are comparatively few works that focus specifically on influencing user behavior [24]. Roberts and Isbell were able to influence players using player models and concepts from social psychology, discourse analysis, and natural language generation [25]. El Nasr et al …
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Page 1. To Test Machine Comprehension, Start by Defining Comprehension Jesse Dunietz?, Gregory Burnham?, Akash Bharadwaj, Jennifer Chu-Carroll, Owen Rambow, and David Ferrucci Elemental Cognition 1jessed,gregb …
Screenwriting for new film mediums: Conceptualizing visual models for interactive storytelling
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… Very little if any of the narrative intelligence research to date has addressed how to assist storyworld authors (2007: 68) […] The creative … Although looking towards the crea- tion of new technologies and new ways to interact (like natural language), he urges authors to forget …
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… Computational systems of narrative intelligence may interact with human users in a natural way since they understand collaborative … such as cloud computing and mobile cloud computing paradigms, new software engineering models, natural language processing, artificial …
Oxford Research Encyclopedia of Literature
D Coste – 2018 – academia.edu
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Effect of Explicit Emotional Adaptation on Prosocial Behavior of Humans towards Robots depends on Prior Robot Experience
B Kühnlenz, K Kühnlenz, F Busse… – 2018 27th IEEE …, 2018 – ieeexplore.ieee.org
… The importance of such “mutual beliefs” in natural language communication is instantiated in the phenomenon of “grounding” [12], meaning that the interpretation of communicated contents has to be at least … of the AAAI Fall Symposium on Narrative Intelligence, 1999 …
Intention Revision of Plan-Based Agents for Narrative Generation.
AA Amos-Binks – 2018 – repository.lib.ncsu.edu
… Using intentional plans that contain intention revisions, I generate simple template-based natural language text that human subjects read … Often referred to as narrative intelligence [MS99], education [eg Row11] and entertainment [eg Gam12] leverage our narrative intelligence …
Constructive Biology of Emotion Systems: First-and Second-Person Methods for Grounding Adaptation in a Biological and Social World
CL Nehaniv – Cognitive Architectures, 2019 – Springer
… We argue that these grammatical categories of human natural language are useful in considering the adaptive role of emotions as they relate to, regulate, and control behaviors in … Post-reactivity and deliberation are supported by remembering, history, and narrative intelligence …
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M Jacob – 2019 – smartech.gatech.edu
… challenging to address in its unconstrained form because it requires agents to possess many complex reasoning capabilities such as narrative intelligence (the ability to tell and under … tive is referred to as narrative intelligence (see [28, 29, 30]). As a central human faculty …
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G Méndez, R Hervás, P Gervás, A Martín… – Connection …, 2019 – Taylor & Francis
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Spatial Discourse Production: Applying Denis’s Framework to Non-Urban Context
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Tourist Support System Using User Context Obtained from a Personal Information Device
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Constructive Biology of Emotion Systems: First-and Second-Person Methods for Grounding Adaptation
CL Nehaniv – Cognitive Architectures, 2018 – books.google.com
… per- son). We argue that these grammatical categories of human natural language are useful in considering the adaptive role of emotions as they relate to, regulate, and control behaviors in a biological and social setting. We …
Modeling affective character network for story analytics
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… Different than the former two approaches, a few studies have attempted to analyze the stories of the narrative works directly by applying SNA (Social Network Analysis) methods and partially using NLP (Natural Language Processing) [[8], [9]] and image processing [[10], [11 …
The Computational Creativity Continuum.
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… The ER model has been applied mostly to natural language generation, eg, storytelling (Pérez y Pérez and Sharples, 2001), and more recently to other areas, eg, interior design (Pérez y Pérez, Aguilar … Learning knowledge to support domain- independent narrative intelligence …
Relationship Between Critical Pedagogy and Reflective Thinking with L2 Teachers’ Pedagogical Success
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… narrative intelligence. They considered narrative intelligence, that is, the ability to build and tell stories using genuine, natural language, as an important factor in English teachers’ pedagogical effectiveness. Likewise, the results …
Posthuman Folklore
T Thompson – 2019 – books.google.com
Page 1. PQSTHUMAN FQIFKFQRE º – TQR THQMPSQN Page 2. Posthuman Folklore Page 3. Page 4. Posthuman Folklore Tok Thompson UNIVERSITY PRESS OF MISSISSIPPI / JACKSON Page 5. The University Press of Mississippi …
Curating simulated storyworlds
J Ryan – 2018 – escholarship.org
… 623 12.1 Curationist emergent narrative in Sheldon County. . . . . 682 x Page 12. List of Tables 8.1 Example templates used to produce rudimentary natural language expressions of emergent World events. . . . . 345 xi Page 13. Abstract …
Artificial Intelligence and the Environmental Crisis: Can Technology Really Save the World?
KR Skene – 2019 – books.google.com
… Mikolov et al. (2016) set out four basic requirements for AI: 1. Interactive communication using natural language; 2. Channelling of non-linguistic information such as sensory perception; 3. The capacity to learn; 4. The capacity for motivation …
BDI player modelling for interactive narratives
J Rivera Villicana – 2018 – researchbank.rmit.edu.au
Page 1. BDI Player Modelling for Interactive Narratives A thesis submitted for the degree of Doctor of Philosophy Jessica Rivera-Villicana Bachelor of Computer Science and Engineering Benemerita Universidad Autonoma de Puebla, Mexico …
Caring for Vincent: A Chatbot for Self-Compassion
M Lee, S Ackermans, N van As, H Chang… – Proceedings of the …, 2019 – dl.acm.org
Page 1. Caring for Vincent: A Chatbot for Self-compassion Minha Lee, Sander Ackermans, Nena van As, Hanwen Chang, Enzo Lucas, and Wijnand IJsselsteijn Human-Technology Interaction Eindhoven University of Technology …
Automatic Transformation of a Video Using Multimodal Information for an Engaging Exploration Experience
FA Salim, F Haider, S Luz, O Conlan – Applied Sciences, 2020 – mdpi.com
Exploring the content of a video is typically inefficient due to the linear streamed nature of its media and the lack of interactivity. While different approaches have been proposed for enhancing the exploration experience of video content, the general view of video content has remained …
Script acquisition: a crowdsourcing and text mining approach
LDA Wanzare – 2020 – publikationen.sulb.uni-saarland.de
… Thus, we live in a world where communication in natural language is a central theme … An interesting question for computational linguists and Natural Language Processing (NLP) community is: can machines also understand and talk natural language …
I Didnt Understand, I m Really Not Very Smart
B Taerning, A Silvervarg – EDUCATION SCIENCES, 2019 – diva-portal.org
… The digital tutee interacted with the student both via a scripted multiple-choice conversation and via a natural language chat conversation, see Section 2.1.1. In the chat conversation in which the digital tutee commented on her performance, expectations and ability to perform …
I Hear You, I Feel You: Encouraging Deep Self-disclosure through a Chatbot
YC Lee, N Yamashita, Y Huang, W Fu – … of the 2020 CHI conference on …, 2020 – dl.acm.org
Page 1. CHI 2020 Paper CHI 2020, April 25–30, 2020, Honolulu, HI, USA “I Hear You, I Feel You”: Encouraging Deep Self-disclosure through a Chatbot Yi-Chieh Lee1 2, Naomi Yamashita2, Yun Huang1, Wai Fu1 1University …
I Didn’t Understand, I´ m Really Not Very Smart—How Design of a Digital Tutee’s Self-Efficacy Affects Conversation and Student Behavior in a Digital Math Game
B Tärning, A Silvervarg – Education Sciences, 2019 – mdpi.com
… The digital tutee interacted with the student both via a scripted multiple-choice conversation and via a natural language chat conversation, see Section 2.1.1. In the chat conversation in which the digital tutee commented on her performance, expectations and ability to perform …
Trusting virtual agents: The effect of personality
MX Zhou, G Mark, J Li, H Yang – ACM Transactions on Interactive …, 2019 – dl.acm.org
… an AI interviewer’s ability to coach a user. Third, the engine must allow easy integration of third-party conversational technologies, eg, Google Natural Language Processing (NLP) API. With these design criteria in mind and inspired …
Working through synthetic worlds
KW Kisiel – 2018 – books.google.com
… digital native interaction with digital games; discourse analysis of gameplay chat; integrating software engineering and usability engineering processes; internationalization and localization of Web sites; and human interaction with natural language technologies, complex …
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 …