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The International Technology Alliance in Network and Information Sciences ITA Annual Fall Meeting September 2014 Socially-Distributed Cognition and Cognitive.

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Presentation on theme: "The International Technology Alliance in Network and Information Sciences ITA Annual Fall Meeting September 2014 Socially-Distributed Cognition and Cognitive."— Presentation transcript:

1 The International Technology Alliance in Network and Information Sciences ITA Annual Fall Meeting September 2014 Socially-Distributed Cognition and Cognitive Architectures: Towards an ACT-R-Based Cognitive Social Simulation Capability TA6/Project 4 Paul Smart, Yuqing Tang, Paul Stone, Katia Sycara, Stefano Bennati, Christian Lebiere, David Mott, Dave Braines and Gavin Powell

2 Overview  support the use of ACT-R in cognitive social simulation experiments  ACT-R CSSC  natural language processing  ACT-R UI Framework  perform experiments with human subjects to gather data for cognitive modelling  develop and experimentally validate cognitive models with respect to human performance data

3 ACT-R Modular Architecture Neurocognitive Grounding Simulations make predictions about what brain regions will be activated during a task. ACT-R modules provide support for perceptuo-motor control, mnenomic retrieval, goal representation and working memory.

4 Goal Module Declarative Module Imaginal Module Vocal Module Self Module Messaging Module Language Module Web Module Procedural Module MatchingSelectionExecution MessagingWebsiteTriplestore Monitor Human Client Results Viewer Language Processor ACT-R ACT-R/CSSC Apps & Services

5 ELICIT Task (1)  ELICIT  Experimental Laboratory for Investigating Collaboration, Information Sharing and Trust.  Sponsored by the U.S. DoD Command and Control Research Program (CCRP).  Previously used to study the effect of organizational environments on performance using human teams and synthetic (non-cognitive) agents:  used to explore the effect of different C2 approaches in the context of the NATO NEC C2 Maturity Model (N2C2M2) – NATO SAS-065

6 ELICIT Task (2)

7 Language Processing (1) ELICIT Factoids (NL)ACT-R Chunks statement object: OBJECT attribute: OBJECT value: OBJECT source: INFO-SOURCE = SELF confidence: NUMBER(0,100) “There will be a suicide bomber attack at a school” (isa statement object attack attribute is-suicide-bombing value yes) (isa statement object school attribute is-involved value yes) (isa statement object attack attribute is-attack-against-school value yes)

8 Language Processing (2) ITA CE Store CE Models CE Web Service ACT-R CSSC Conversational Agent (Task 4.3) NLP Agent (Task 4.2) Extracted CE ACT-R Chunks Extracted CE Syntactically constrained variants of natural language are particularly useful in situations where we want to support human participation in cognitive social simulation experiments.

9 ACT-R UI Framework ACT-R JNI (JSON Network Interface) MotorSpeechVisionAudioCustom ACT-R UI Framework Environment JSON Messages Perceptual Information Motor Information

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13 Human Experimentation Platform  Intended to support the acquisition of behavioural data from human subjects.  Records actions that provide insight into cognitive function (e.g., attentional processing).  Resulting data can be used to inform the development of cognitive models.  Cognitive models are validated in terms of their correspondence to human performance data.

14 Summary  Aim:  support the use of ACT-R in cognitive social simulation experiments  run experiments based on human performance data  ACT-R CSSC:  framework to support the use of ACT-R in cognitive social simulation experiments  applications and services – monitor application, results viewer, language processing service  ACT-R UI Framework:  supports the integration of ACT-R with external environments  Human Experimentation:  human experimentation platform  acquisition of human behavioural data for modelling and testing  Modelling and Experimentation:  remainder of the work effort is focused on cognitive modelling and experimental evaluation  effect of information sharing on cognitive biases and collective performance


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