Combining rational and biological factors in virtual agent decision making

To enhance believability of virtual agents, this paper presents an agent-based modelling approach for decision making, which integrates rational reasoning based on means-end analysis with personal psychological and biological aspects. The agent model developed is a combination of a BDI-model and a utility-based decision model in the context of specific desires and beliefs. The approach is illustrated by addressing the behaviour of violent criminals, thereby creating a model for virtual criminals. Within a number of simulation experiments, the model has been tested in the context of a street robbery scenario. In addition, a user study has been performed, which confirms the fact that the model enhances believability of virtual agents.

[1]  Amy L. Lansky,et al.  Reactive Reasoning and Planning , 1987, AAAI.

[2]  Matthew P. Aylett,et al.  Intelligent Virtual Agents , 2010, Lecture Notes in Computer Science.

[3]  Stacy Marsella,et al.  EMA: A process model of appraisal dynamics , 2009, Cognitive Systems Research.

[4]  John Yen,et al.  Extending the recognition-primed decision model to support human-agent collaboration , 2005, AAMAS '05.

[5]  Ron Sun,et al.  Cognition and Multi-Agent Interaction: The CLARION Cognitive Architecture: Extending Cognitive Modeling to Social Simulation , 2005 .

[6]  Adrian Raine,et al.  The Psychopathology of Crime: Criminal Behavior as a Clinical Disorder , 1993 .

[7]  Anand S. Rao,et al.  AgentSpeak(L): BDI Agents Speak Out in a Logical Computable Language , 1996, MAAMAW.

[8]  Tibor Bosse,et al.  Cognitive and social simulation of criminal behaviour: the intermittent explosive disorder case , 2007, AAMAS '07.

[9]  Pattie Maes,et al.  Agents that buy and sell , 1999, CACM.

[10]  John B. Kidd,et al.  Decisions with Multiple Objectives—Preferences and Value Tradeoffs , 1977 .

[11]  Michael N. Huhns,et al.  EBDI: an architecture for emotional agents , 2007, AAMAS '07.

[12]  Jacques L. Koko,et al.  The Art and Science of Negotiation , 2009 .

[13]  Tibor Bosse,et al.  A Language and Environment for Analysis of Dynamics by Simulation , 2005, Int. J. Artif. Intell. Tools.

[14]  Ron Sun,et al.  Duality of the Mind , 2002 .

[15]  Catholijn M. Jonker,et al.  An Agent Architecture for Multi-Attribute Negotiation , 2001, IJCAI.

[16]  Ralph L. Keeney,et al.  Decisions with multiple objectives: preferences and value tradeoffs , 1976 .

[17]  Jürgen Dix,et al.  Multi-Agent Programming: Languages, Tools and Applications , 2009 .

[18]  Winfried Lamersdorf,et al.  Jadex: A BDI Reasoning Engine , 2005, Multi-Agent Programming.

[19]  Barry G. Silverman,et al.  More Realistic Human Behavior Models for Agents in Virtual Worlds: Emotion, Stress, and Value Ontologies , 2001 .

[20]  Marc Cavazza,et al.  Interacting with virtual characters in interactive storytelling , 2002, AAMAS '02.

[21]  Tibor Bosse,et al.  Incorporating Emotion Regulation into Virtual Stories , 2007, IVA.

[22]  Tibor Bosse,et al.  Development of Virtual Agents with a Theory of Emotion Regulation , 2008, 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology.

[23]  Jonathan Evans.  In two minds: dual-process accounts of reasoning , 2003, Trends in Cognitive Sciences.

[24]  R. L. Keeney,et al.  Decisions with Multiple Objectives: Preferences and Value Trade-Offs , 1977, IEEE Transactions on Systems, Man, and Cybernetics.

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

[26]  Liz Sonenberg,et al.  Enhancing Multi-Agent Based Simulation with Human-Like Decision Making Strategies , 2000, MABS.

[27]  Rafael H. Bordini,et al.  Multi-Agent Programming: Languages, Platforms and Applications , 2005, Multi-Agent Programming.

[28]  Deborah Vakas Duong.  Connectionist Models of Social Reasoning and Social Behavior Edited by Stephen J. Read and Lynn C. Miller , 1998, J. Artif. Soc. Soc. Simul..

[29]  Christopher K. Hsee,et al.  Risk as Feelings , 2001, Psychological bulletin.

[30]  Rhona Flin,et al.  Decision making under stress : emerging themes and applications , 1998 .

[31]  Felix A. Fischer,et al.  An integrated framework for adaptive reasoning about conversation patterns , 2005, AAMAS '05.

[32]  Tibor Bosse,et al.  Case Analysis of Criminal Behaviour , 2007, IEA/AIE.

[33]  A. Moir,et al.  A Mind to Crime: The Controversial Link Between the Mind And Criminal Behaviour , 1999 .

[34]  Daniel Kudenko,et al.  Adaptive Agents and Multi-Agent Systems , 2003, Lecture Notes in Computer Science.

[35]  N. Harvey.  Decision making under stress. , 2001 .

[36]  Tibor Bosse,et al.  Integration of Biological, Psychological, and Social Aspects in Agent-Based Simulation of a Violent Psychopath , 2007, International Conference on Computational Science.

[37]  Anand S. Rao,et al.  Modeling Rational Agents within a BDI-Architecture , 1997, KR.

[38]  Curt R. Bartol,et al.  Criminal Behavior: A Psychosocial Approach , 1986 .

[39]  A. Damasio.  Descartes’ Error. Emotion, Reason and the Human Brain. New York (Grosset/Putnam) 1994. , 1994 .

[40]  Martine F. Delfos.  Children and Behavioural Problems: Anxiety, Aggression, Depression and ADHD – A Biopsychological Model with Guidelines for Diagnostics and Treatment , 2004 .

[41]  G. Fricchione.  Descartes’ Error: Emotion, Reason and the Human Brain , 1995 .

[42]  Nelma Moreira,et al.  Modelling Emotional BDI , 2006 .

[43]  A. S. Roa,et al.  AgentSpeak(L): BDI agents speak out in a logical computable language , 1996 .

[44]  Allen Newell,et al.  SOAR: An Architecture for General Intelligence , 1987, Artif. Intell..

[45]  John Yen,et al.  RPD-enabled agents teaming with humans for multi-context decision making , 2006, AAMAS '06.