Cognitive Architecture & Dialog Systems

Notes:

A cognitive architecture is a theoretical framework that describes the functional components and processes that underlie intelligent behavior in humans or artificial systems. It is a blueprint for building intelligent agents that can perceive, reason, and act in complex environments.

Cognitive architectures are used to design and build artificial intelligence systems that can perform tasks that require intelligence, such as problem-solving, decision-making, and learning. They provide a framework for understanding how intelligent systems process and represent information, and how they use this information to reason, plan, and act.

There are many different cognitive architectures that have been proposed, each with its own set of assumptions and design principles. Some common elements that may be included in a cognitive architecture include:

Perception: The ability to sense and interpret information from the environment.
Memory: The ability to store and retrieve information.
Reasoning: The ability to draw conclusions and make decisions based on available information.
Planning: The ability to generate and execute a series of actions to achieve a goal.
Learning: The ability to improve performance over time through experience and feedback.

Cognitive architectures are used in a variety of applications, including artificial intelligence, cognitive psychology, and neuroscience. They provide a framework for understanding the underlying processes that support intelligent behavior and can help guide the design and development of intelligent systems.

In the context of cognitive architectures, dialog systems can be used to support the perception, memory, reasoning, planning, and learning functions of an artificial intelligence system. For example, a dialog system might be used to enable an artificial intelligence system to interact with users and gather information about their goals and preferences, to store and retrieve information from memory, to reason and make decisions based on available information, to plan and execute actions to achieve a goal, and to learn and adapt based on user feedback.

Dialog systems can be integrated into cognitive architectures in various ways, depending on the specific requirements of the application. They may be used to support a wide range of tasks and functions, including information retrieval, recommendation systems, and decision-making.

Wikipedia:

A Cognitive Architecture Consisting of Human Intelligence Factors
R Ichise – Procedia Computer Science, 2018 – Elsevier
… it is true that this model can be used for evaluating the existing cognitive architectures [4], if … In this section, we will discuss the behavior of our cognitive architecture through an examination of a … the same situation used by SHRDLU [7]. SHRDLU is a dialogue system that assumes …

Analyzing Motivating Texts for Modelling Human-Like Motivation Techniques in Emotionally Intelligent Dialogue Systems
P Swieczkowska, R Rzepka, K Araki – … Inspired Cognitive Architectures …, 2018 – Springer
In this paper, we present studies on human-like motivational strategies which eventually will allow us to implement motivational support in our general dialogue system. We conducted a study on user comments from a discussion platform Reddit and identified text features that …

Dialogue Models for Socially Intelligent Robots
K Jokinen – International Conference on Social Robotics, 2018 – Springer
… be modular and re-configurable to allow for building usable, integrated dialogue systems for various … activity can be regarded as one of the connection points to cognitive architectures under the … are included in the processing architecture on top of a cognitive architecture [14, 18 …

Cognitive Architectures on Discourse
M Iza – Conference on Biomimetic and Biohybrid Systems, 2018 – Springer
… G., Abalos, N.: Merging intention and emotion to develop adaptive dialogue systems … the Mind: Exploring Psychological Mechanisms and Processes with the Clarion Cognitive Architecture … 2016)Google Scholar. Thórison, K., Helgasson, H.: Cognitive architectures and autonomy …

Biologically Inspired Cognitive Architectures
?N Yalcin, S DiPaola – dipaola.org
… Biologically Inspired Cognitive Architectures xxx (xxxx) xxx–xxx 3 … A more complex form of empathic behavior can be found in the user adaptation applications in dialogue systems (Jokinen, 2003), where the aim is to model the user intentions and state to predict and adapt to the …

Design of an Emotional Conversational Cognitive Agent Architecture (ECCAA)
APG Gnaneswari, MV Vijayakumar – 2018 – ijsrcseit.com
… Some of the cognition that may be required to achieve human like dialog system are goal, desire, belief … [1] Cognitive architecture research issues … Cognitive architectures can be designed by clearly defining the functionality, provide a mechanism based on the functionality and …

CASE: A HAL 9000 for 2021
P Bonasso – Science Robotics, 2018 – personal.traclabs.com
… Page 2. a turn-based natural language dialog system (Fitzgerald and Wiseman, 1997) and software managers that maintain the state of the software … Our current agent – called a Cognitive Architecture for Space Agents, or CASE (Bonasso et al., 2018) – manages a simulation …

Shifting and drifting attention while reading: A case study of nonlinear-dynamical attention allocation in the OpenCog cognitive architecture
MB Belachew, B Goertzel, D Hanson – … inspired cognitive architectures, 2018 – Elsevier
… results or create a valid basis of comparison with other cognitive architectures or human … The essence of the PrimeAGI cognitive architecture, being implemented and experimented with using OpenCog … In the context of a dialogue system, for instance, ECAN’s key role would be …

Biologically Inspired Cognitive Architectures 2018 Proceedings Of
AV Samsonovich – 2018 – books.google.com
… Unifying frameworks, standards, and constraints for cognitive architectures; –Agents possessing … and Hiroshi Yamakawa Scruff: A Deep Probabilistic Cognitive Architecture for Predictive … Modelling Human-Like Motivation Techniques in Emotionally Intelligent Dialogue Systems …

Evaluating an ECA with a Cognitive-Affective Architecture
J Pérez, E Cerezo, J Gallardo, FJ Serón – Proceedings of the XIX …, 2018 – dl.acm.org
… Simulating the emotion dynamics of a multimodal conversational agent. In Tutorial and Research Workshop on Affective Dialogue Systems, pages 154–165 … The Soar Cognitive Architecture. The MIT Press … Cognitive architectures: Research issues and challenges. Cogn. Syst …

A Method for Dataset Creation for Dialogue State Classification in Voice Control Systems for the Internet of Things
I Shilin, L Kovriguina, D Mouromtsev, G Wohlgenannt… – ceur-ws.org
… 2012] Profanter, S. (2012) Cognitive architectures // HauptSeminar Human Robot Interaction, 2012. [Serban et al., 2015] Serban, IV, Lowe, RT, Charlin, L., and Pineau, J. (2015) A Survey of Available Corpora For Building Data-Driven Dialogue Systems // arXiv preprint arXiv …

Behavior Oriented Design: Methodology for Devel-oping Adaptive Intelligent Agents
J Bryson, LA Stein – pdfs.semanticscholar.org
… We are currently applying this methodology to a number of problems including natural language dialogue systems, characterizing and replicating the behavior of fish, modelling primate learning, and constructing medical … The evolution of the Soar cognitive architecture …

A computational model of empathy for interactive agents
?N Yalcin, S DiPaola – Biologically inspired cognitive architectures, 2018 – Elsevier
… Volume 26, October 2018, Pages 20-25. Biologically Inspired Cognitive Architectures … A more complex form of empathic behavior can be found in the user adaptation applications in dialogue systems (Jokinen, 2003), where the aim is to model the user intentions and state to …

Robots on stage: A cognitive framework for socially interacting robots
I Rodriguez, A Astigarraga, E Lazkano… – … cognitive architectures, 2018 – Elsevier
… But, in spite of the numerous contributions in the field of cognitive architectures, robots that can listen to human … 2. Bertsobot’s cognitive architecture … 3 shows the architecture of our dialogue system that incorporates an Automatic Speech Recognizer (ASR), Language Interpreter …

A Natural Language Approach to Human-Robot Interaction
M Kohn – stl.htwsaar.de
… In this paper we will examine how and to which extent a dialog system in HRI can be enhanced by … EMBODIED COGNITIVE ARCHITECTURE FOR HRI … Using domain-general structures and processes as well as flat semantics, Cognitive Architectures can model the concept of …

A sentential cognitive system of robots for conversational HRI
H Ahn – Journal of Intelligent & Fuzzy Systems – content.iospress.com
… In dialog systems, dialogue managers use planned rules, actual situations, and the dialogue corpus … There are a number of implemented cognitive architecture models for these topics, such as … memories in long-term memory [19], and most cognitive architectures implemented in …

DAC-h3: a proactive robot cognitive architecture to acquire and express knowledge about the world and the self
C Moulin-Frier, T Fischer, M Petit… – … on Cognitive and …, 2018 – ieeexplore.ieee.org
… reflects a divergence from the more general field of cognitive architectures (or unified … The cognitive architecture of iTalk [70] focuses on modeling the emergence of language … implementation and cooperation between both episodic and semantic memories with a dialog system …

Automated Usability Evaluation (AUE)
M Halbrügge – Predicting User Performance and Errors, 2018 – Springer
… Cognitive architectures are software frameworks that incorporate assumptions of the invariant structure of the … The cognitive architecture used by GLEAN is derived from the MHP, but adds a … that it targets not only classical GUIs, but also spoken dialog systems (Engelbrecht 2013 …

Virtual moderator using analysis of user trajectories on a semantic map based on convolutional neural networks
AR Sultanov, ND Rumyantsev, EA Blinov – Procedia computer science, 2018 – Elsevier
… Peer-review under responsibility of the scientific committee of the 9th Annual International Conference on Biologically Inspired Cognitive Architectures … Aside from a chat moderator, the developed method may have broad implications for dialogue systems. 5. Acknowledgements …

40 years of cognitive architectures: core cognitive abilities and practical applications
I Kotseruba, JK Tsotsos – Artificial Intelligence Review, 2018 – Springer
… In practice the term “cognitive architecture” is not as restrictive, as made evident by the representative surveys of the field. Most of the surveys define cognitive architectures as a blueprint for intelligence, or, more specifically, a proposal about the mental representations and …

Ontology for Research in Artificial Intelligence
A Teferi, T Beshah – hilcoe.net
… o papers • Dialog Systems … Places has been modified with additional subclasses such as “Address”, “People,” “Projects,” “Publications,” “Research Areas.” Additional classes such as “Big Data Analytics,” “Decision Support Systems,” “Cognitive Architectures and Computational …

Experimental Analysis of Emotion Classification Techniques
T Dumitriu, C Cîmpanu, F Ungureanu… – 2018 IEEE 14th …, 2018 – ieeexplore.ieee.org
… Since existing approaches to emotion recognition do not address the dynamics of emotional processes, the study of [7] illustrates the development of a cognitive architecture for modeling the dynamics of emotions focused on a gray-box model for dynamic emotion intensity …

Simulation-Based Usability Evaluation of Spoken and Multimodal Dialogue Systems
S Hillmann, S Hillmann, Baumann – 2018 – Springer
… Stefan Hillmann Simulation-Based Usability Evaluation of Spoken and Multimodal Dialogue Systems Page 2. T-Labs Series in Telecommunication Services Series editors Sebastian Möller, Berlin, Germany Axel Küpper, Berlin, Germany Alexander Raake, Berlin, Germany …

A Survey of Knowledge Representation and Retrieval for Learning in Service Robotics
D Paulius, Y Sun – arXiv preprint arXiv:1807.02192, 2018 – arxiv.org
Page 1. A Survey of Knowledge Representation and Retrieval for Learning in Service Robotics David Pauliusa, Yu Suna,? aUniversity of South Florida, 4220 E Fowler Ave, Tampa, FL, United States, 33620 Abstract Within the …

Modeling Empathy in Embodied Conversational Agents
ÖN Yalçin – Proceedings of the 2018 on International Conference …, 2018 – dl.acm.org
… 2014. Applying a text-based affective dialogue system in psychological research: case studies on the effects of system behaviour, interaction context and social exclusion … Biologically Inspired Cognitive Architectures (2018). in press …

Computational Modeling and Experimental Research on Touchscreen Gestures, Audio/Speech Interaction, and Driving
H Jeong – 2018 – deepblue.lib.umich.edu
… 141 Page 9. viii Lists of Figures Figure 1.1 – General structure of the QN-MHP cognitive architecture ….. 8 … are few modeling studies using cognitive architectures and quantitative prediction methods for evaluating spoken dialogue systems …

ORACLE: An Ontology Reasoner for Affective Conversation in Long-term Engagement
AJ de Mooij – 2018 – dspace.library.uu.nl
… 21 2.5 Episodic Memory . . . . . 22 2.5.1 Episodic Memory in Cognitive Architectures . . . . . 23 2.5.2 Episodic Memory in Social Robots . . . . . 24 2.5.3 PAL’s Episodic Memory Manager . . . . . 26 iii Page 6 …

The Age of Artificial Emotional Intelligence
D Schuller, BW Schuller – Computer, 2018 – ieeexplore.ieee.org
… and guide our attention, helping with decision making.4,5 Finally, emotions play a key role in communication, which is still broadly neglected in spo- ken dialog systems or general human– computer or human–robot interaction …

Predicting User Performance and Errors
M Halbrugge – 2018 – Springer
Page 1. T-Labs Series in Telecommunication Services Marc Halbrügge Predicting User Performance and Errors Automated Usability Evaluation Through Computational Introspection of Model-Based User Interfaces Page 2. T-Labs Series in Telecommunication Services …

A Situated Dialogue System for Learning Structural Concepts in Blocks World
I Perera, J Allen, CM Teng, L Galescu – Proceedings of the 19th Annual …, 2018 – aclweb.org
… amples. While this problem has been explored in the context of cognitive architectures (Foundalis, 2006) and reinforcement learning (Ramon et al., 2007), we are unaware of any prior work in the context of dialogue systems …

Emotional Human-Machine Conversation Generation Based on Long Short-Term Memory
X Sun, X Peng, S Ding – Cognitive Computation, 2018 – Springer
… Several attempts have been made to endow dialog systems or conversational agents with emotion [2, 33]. Kadish et al … [37] proposed a natural language dialog system that can estimate the user’s emotion from utterances and respond on the basis of the estimated emotion …

KOGWIS2018: Computational Approaches to Cognitive Science
C Rothkopf, D Balfanz, R Galuske, F Jäkel… – … Conference of the …, 2018 – tu-darmstadt.de
… The arguably most popular approach is the cognitive architecture ACT-R (Anderson, 2004, Psychol. Rev) … The merits and flaws of hybrid cognitive architectures viii … Common Ground with Dialogue Systems for Fault Diagnosis: How Should They Ask for Clarification?…. 47 …

Materializing the promises of cognitive iot: How cognitive buildings are shaping the way
J Ploennigs, A Ba, M Barry – IEEE Internet of Things Journal, 2018 – ieeexplore.ieee.org
… A cognitive architecture is sketched in [18] for build- ings that utilises these frameworks … We know for example: ‘mean’ is an aggregate, ‘temperature’ is a point type; ‘room 102’ is a location; ‘2 weeks’ is a time. So, the dialog system identifies: ”What was Page 7 …

TEATIME: A Formal Model of Action Tendencies in Conversational Agents.
A Yacoubi, N Sabouret – ICAART (2), 2018 – perso.limsi.fr
… Keywords: Conversational Agents, Computational Model of Affects, Formal Model, Dialogue System … A few cognitive architectures have been proposed that implement both the appraisal component and the behavioural component …

Incrementality and clarification/sluicing potential
J Ginzburg, R Cooper, J Hough… – Proceedings of Sinn …, 2018 – pub.uni-bielefeld.de
… of speech (see eg, Schlesewsky and Bornkessel (2004)) and as an important feature for design of spoken dialogue systems (see eg … KoS provides a cognitive architecture in which there is no single common ground, but distinct yet coupled Dialogue GameBoards, one per …

Amanuensis: The Programmer’s Apprentice
T Dean, M Chiang, M Gomez, N Gruver, Y Hindy… – arXiv preprint arXiv …, 2018 – arxiv.org
… representation [11] as it applies to the programmer’s apprentice problem and emphases contributions from the cognitive neurosciences [31] as they apply to modeling how information is represented and processed in human-inspired cognitive architectures and connectionist …

Analyzing the Impact of Different Feature Queries in Active Learning for Social Robots
V Gonzalez-Pacheco, M Malfaz… – International Journal of …, 2018 – Springer
Page 1. International Journal of Social Robotics (2018) 10:251–264 https://doi.org/10.1007/s12369- 017-0449-0 Analyzing the Impact of Different Feature Queries in Active Learning for Social Robots V. Gonzalez-Pacheco1 · M. Malfaz1 · A. Castro-Gonzalez1 · JC Castillo1 …

Unleashing the Potential of Chatbots in Education: A State-Of-The-Art Analysis
R Winkler, M Söllner – 2018 – alexandria.unisg.ch
… as Amazon’s Alexa or Google’s Home. Chatbots are typically used in dialog systems for different … (“conversational agent” OR “chat bot” OR “chatbot” OR “pedagogical agent” OR “intelligent tutor system” OR “dialogue system” OR “smart personal assistant” OR “smart assistant”) …

Cognitive Distributed Application Area Networks
G D’Angelo, S Rampone – Security and Resilience in Intelligent Data …, 2018 – Elsevier
… (2000) the authors list three criteria of distributed cognition: 1. Distributed cognition in social interactions. The social organization is viewed as a form of cognitive architecture because the social organization determines the way the information is propagated through the group …

Predicting and imagining language
M Pickering – research.ed.ac.uk
Page 1. Edinburgh Research Explorer Predicting and imagining language Citation for published version: Gambi, C & Pickering, M 2015, ‘Predicting and imagining language’ Language, Cognition and Neuroscience, pp. 1-13. DOI: 10.1080/23273798.2015.1049188 …

Choice of a classifier, based on properties of a dataset: case study-speech emotion recognition
SG Koolagudi, YVS Murthy, SP Bhaskar – International Journal of Speech …, 2018 – Springer
In this paper, the process of selecting a classifier based on the properties of dataset is designed since it is very difficult to experiment the data on n—number of classifiers. As a case study…

DEVELOPING C
MW Boyce, AM Sinatra, SB Gilbert… – … for Intelligent Tutoring …, 2018 – books.google.com
… He holds a Masters and PhD degree in Computer Engineering with a focus on Intelligent Systems and Machine Learning from the University of Central Florida. His current research is in machine learning, cognitive architectures, learning technologies, and ITS architecture …

Developing The Gift Event Report Tool To Support Experimentation For Teams
MW Boyce, AM Sinatra, SB Gilbert… – … for Intelligent Tutoring … – gifttutoring.org
… He holds a Masters and PhD degree in Computer Engineering with a focus on Intelligent Systems and Machine Learning from the University of Central Florida. His current research is in machine learning, cognitive architectures, learning technologies, and ITS architecture …

Capturing the effect of personality on teams with agent-based modelling
M Farhangian – 2018 – ourarchive.otago.ac.nz
Page 1. CAPTURING THE EFFECT OF PERSONALITY ON TEAMS WITH AGENT-BASED MODELLING Mohammad Mehdi Farhangian a thesis submitted for the degree of Doctor of Philosophy at the University of Otago, Dunedin, New Zealand. July 2018 Page 2. ii Abstract …

KIT-Conferences
MIAR Roedder – 2018 – isl.anthropomatik.kit.edu
… An End-to-End Goal-Oriented Dialog System with a Generative Natural Language Response Generation, Stefan Constantin, Jan Niehues, and Alex Waibel. International Workshop on Spoken Dialogue Systems Technology – IWSDS 2018 …

US Army Research Institute: Bibliography of Publications FY 2000-FY 2015 (Unrestricted)
MTT Tran, NA Antonova, JL Proctor, DE Young – 2018 – apps.dtic.mil
Page 1. US Army Research Institute for the Behavioral and Social Sciences Bibliography of Publications Fiscal Years 2000-2015 Minh Tam T. Tran Natalja A. Antonova Compilers Joanne L. Proctor Dorothy E. Young Editors Approved for public release; distribution is unlimited …

Interactive Learning and Adaptation for Personalized Robot-Assisted Training
K Tsiakas – 2018 – rc.library.uta.edu
… Leadership Summit, 2012 . . . . . 26 2.6 The proposed Dialogue System for Safe Rehabilitation. . . . . 28 2.7 ReADAPT manager formulated as a Reinforcement Learning problem. 29 2.8 Simulated user models . . . . . 32 …

iBot: An Agent-based Software Framework For Creating Domain Conversational Agents
PE Velmovitsky – 2018 – maxwell.vrac.puc-rio.br
… 33 Page 10. 1 Introduction A chatbot can be defined as a human-computer dialogue system (CAHN, 2017) or, in other words, a computer program that interacts with users using natural … tasks. Page 11. 11 While there has been a lot of research integrating dialogue systems and …

Adapting exercise selection to performance, effort and self-esteem
JA Okpo, J Masthoff, M Dennis… – New Review of …, 2018 – Taylor & Francis
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CognitiveEMS: A Cognitive Assistant System for Emergency Medical Services
S Preum, S Shu, M Hotaki, R Williams, J Stankovic… – researchgate.net
… Another research [16] analyzes several automatic speech recognizers (ASRs) in terms of their suitability for use in different dialogue systems … Datasets from 6 domains of dialogue systems differing in genre, type of users, and number of users are tested …

An improved formula for Jacobi rotations
CF Borges, Z Majdisova, V Skala, A Monszpart… – arXiv preprint arXiv …, 2018 – arxiv.org

The impact of Chatbots characteristics on Customer Satisfaction within the Portuguese Millennial population
TD Rieke – 2018 – repositorio-aberto.up.pt
… 2018). Chatbots are dialogue systems that communicate with a user through natural language and a user interface (Dale, 2016) … in the market. Dialogue systems attempted to make the interaction between the system and human more “human-like” …

Know Your CSI
CSI Headquarter, SV Park – csi-india.org
Page 1. Knowledge Digest for IT Community 52 pages including cover www .csi-india.org IS SN 0970-647X Knowledge Digest for IT Community Volume No. 42 | Issue No. 10 | January 2019 50/- 52 pages including cover RESEARCH …

Semantic Mapping for Autonomous Robots in Urban Environments
C Landsiedel – 2018 – mediatum.ub.tum.de
… Developing building blocks for environment representations satisfying these requirements is one of the main aims of this thesis. Spoken Language Dialogue System and Action Planning The IURO robot’s main source of route information is the interaction with pedestrians …

Teaching Machines to Classify from Natural Language Interactions
S Srivastava – 2018 – reports-archive.adm.cs.cmu.edu
Page 1. Teaching Machines to Classify from Natural Language Interactions Shashank Srivastava September 2018 CMU-ML-18-109 School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213 Thesis Committee …