CoJACK: A high-level cognitive architecture with demonstrations of moderators, variability, and implications for situation awareness

Abstract We report a high-level architecture, CoJACK, that provides insights on behavior variability, situation awareness, and behavioral moderators. CoJACK combines Beliefs/Desires/Intentions (BDI) agents’ high-level knowledge representation and usability with several aspects of low-level cognitive architectures, including processing time predictions, errors, and traceability. CoJACK explores new areas for cognitive architectures, such as variability arising from moderators. It also allows aspects of situation awareness (SA) in a cognitive architecture to be explored. Its behavior and the effects of moderators on behavior are demonstrated in a simple adversarial environment. It provides lessons for other architectures including how to define, measure, and control variability due to individual and temporal aspects of cognition; the importance of SA and knowledge representations necessary to support complex SA; the potential for parameter sweeps and paths as measures of variability; and some of the complexities that will arise when aspects of moderators and SA are added to cognitive architectures.

[1]  Frank E. Ritter,et al.  Populating VBS2 with Realistic Virtual Actors , 2009 .

[2]  Frank E. Ritter,et al.  DTank updated: Exploring moderated behavior in a light-weight synthetic environment , 2012 .

[3]  Frank E. Ritter,et al.  Determining the number of simulation runs: Treating simulations as theories by not sampling their behavior , 2011 .

[4]  Christian Lebiere,et al.  Modeling Synthetic Opponents in MOUT Training Simulations Using the ACT-R Cognitive Architecture , 2002 .

[5]  Frank E. Ritter,et al.  A preliminary model of participation for small groups , 2010, Comput. Math. Organ. Theory.

[6]  Frank E. Ritter,et al.  Modeling Rules of Engagement in Computer Generated Forces , 2007 .

[7]  Randolph M. Jones,et al.  Automated Intelligent Pilots for Combat Flight Simulation , 1998, AI Mag..

[8]  William M. Jones,et al.  Situation Awareness Information Dominance & Information Warfare. , 1997 .

[9]  F. Ritter,et al.  From modeler-free individual data fitting to 3-D parametric prediction landscapes: A research expedition , 2008 .

[10]  John E. Laird,et al.  It knows what you're going to do: adding anticipation to a Quakebot , 2001, AGENTS '01.

[11]  Frank E. Ritter,et al.  Towards Fair Comparisons of Connectionist Algorithms through Automatically Optimized Parameter Sets , 1991 .

[12]  Frank E. Ritter,et al.  Techniques for modelling human performance in synthetic environments : A supplementary review , 1999 .

[13]  Joseph Bates,et al.  The role of emotion in believable agents , 1994, CACM.

[14]  Andrew J Belyavin,et al.  Modeling performance and alertness: the QinetiQ approach. , 2004, Aviation, space, and environmental medicine.

[15]  Sue E. Kase.  Parallel genetic algorithm optimization of a cognitive model: investigating group and individual performance on a math stressor task , 2008 .

[16]  Anand S. Rao,et al.  BDI Agents: From Theory to Practice , 1995, ICMAS.

[17]  Sanghee Yeo.  Handbook of individual differences, learning, and instruction. , 2010, Korean journal of medical education.

[18]  Richard W. Pew,et al.  Human-system integration in the system development process : a new look , 2007 .

[19]  C. Lebiere,et al.  The Atomic Components of Thought , 1998 .

[20]  H. Selye.  The Stress of Life , 1958 .

[21]  Stacy Marsella,et al.  A domain-independent framework for modeling emotion , 2004, Cognitive Systems Research.

[22]  Richard W. Pew,et al.  Modeling Human and Organizational Behavior , 1998 .

[23]  W. McEneaney,et al.  Adversarial Reasoning: Computational Approaches to Reading the Opponent's Mind , 2006 .

[24]  Dorothea P. Simon,et al.  Individual Differences in Solving Physics Problems (1978) , 1978 .

[25]  S. Folkman,et al.  Stress, appraisal, and coping , 1974 .

[26]  John R. Anderson.  How Can the Human Mind Occur in the Physical Universe , 2007 .

[27]  R. Siegler.  Children's Thinking : What Develops? , 1978 .

[28]  S. Folkman,et al.  Stress, Appraisal, and Coping. New York, NY: Springer; , 1984 .

[29]  Richard W. Pew,et al.  Modeling human and organizational behavior : application to military simulations , 1998 .

[30]  H. R. Booher,et al.  Human Systems Integration in Army Systems Acquisition , 2005 .

[31]  John E. Laird,et al.  The Soar Cognitive Architecture , 2012 .

[32]  Frank E. Ritter,et al.  The Rise of Cognitive Architectures , 2007, Integrated Models of Cognitive Systems.

[33]  Frank E. Ritter,et al.  Designs for explaining intelligent agents , 2009, Int. J. Hum. Comput. Stud..

[34]  F. Ritter.  Two Cognitive Modeling Frontiers: Emotions and Usability , 2009, Information and Media Technologies.

[35]  Paul E. Nielsen,et al.  Human Factors in Opponent Intent , 2006 .

[36]  Mica R. Endsley,et al.  Toward a Theory of Situation Awareness in Dynamic Systems , 1995, Hum. Factors.

[37]  Alex Kirlik,et al.  Abstracting Situated Action: Implications for Cognitive Modeling and Interface Design , 2012 .

[38]  Marsha C. Lovett,et al.  A source activation theory of working memory: cross-task prediction of performance in ACT-R , 2000, Cognitive Systems Research.

[39]  Richard M. Young,et al.  The Role of Cognitive Architecture in Modeling the User: Soar's Learning Mechanism , 1997, Hum. Comput. Interact..

[40]  Kenneth R. Boff,et al.  Engineering data compendium : human perception and performance , 1988 .

[41]  Frank E. Ritter,et al.  Realistic Behaviour Variation in a BDI-based Cognitive Architecture , 2008 .

[42]  Frank E. Ritter,et al.  Lessons from Defining Theories of Stress , 2007 .

[43]  Glenn Gunzelmann,et al.  Sleep Deprivation and Sustained Attention Performance: Integrating Mathematical and Cognitive Modeling , 2009, Cogn. Sci..

[44]  Eva Hudlicka,et al.  This time with feeling: Integrated model of trait and state effects on cognition and behavior , 2002, Appl. Artif. Intell..

[45]  Frank E. Ritter,et al.  High-level Behavior Representation Languages Revisited , 2006 .

[46]  John R Anderson,et al.  An integrated theory of the mind. , 2004, Psychological review.

[47]  Paolo Busetta,et al.  Jack intelligent agents - components for intelligent agents in java , 1998 .

[48]  G. Zajicek,et al.  The Wisdom of the Body , 1934, Nature.