Human Behavior Models for Agents in Simulators and Games: Part II: Gamebot Engineering with PMFserv

Many producers and consumers of legacy training simulator and game environments are beginning to envision a new era where psycho-socio-physiologic models could be interoperated to enhance their environments' simulation of human agents. This paper explores whether we could embed our behavior modeling framework (described in the companion paper, Part 1) behind a legacy first person shooter 3D game environment to recreate portions of the Black Hawk Down scenario. Section 1 amplifies the interoperability needs and challenges confronting the field, presents the questions that are examined, and describes the test scenario. Sections 2 and 3 review the software and knowledge engineering methodology, respectively, needed to create the system and populate it with bots. Results (Section 4) and discussion (Section 5) reveal that we were able to generate plausible and adaptive recreations of Somalian crowds, militia, women acting as shields, suicide bombers, and more. Also, there are specific lessons learned about ways to advance the field so that such interoperabilities will become more affordable and widespread.

[1]  Andrew Ortony,et al.  The Cognitive Structure of Emotions , 1988 .

[2]  Jeffrey M. Bradshaw,et al.  Social Order and Adaptability in Animal and Human Cultures as Analogues for Agent Communities: Toward a Policy-Based Approach , 2003, ESAW.

[3]  Barry G. Silverman,et al.  Enhancing the Behaviorial Fidelity of Synthetic Entities with Human Behavior Models , 2004 .

[4]  Andrew S. Gibbons,et al.  Computer-Based Instruction: Design and Development , 1998 .

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

[6]  G. Nigel Gilbert,et al.  Simulation for the social scientist , 1999 .

[7]  Ioan M. Lewis,et al.  Blood and Bone: The Call of Kinship in Somali Society , 1994 .

[8]  逆火.  BLACK HAWK DOWN——黑鹰堕落 , 2002 .

[9]  Roy J. Eidelson,et al.  Dangerous ideas. Five beliefs that propel groups toward conflict. , 2003, The American psychologist.

[10]  Kevin O'Brien,et al.  Human Behavior Models for Agents in Simulators and Games: Part I: Enabling Science with PMFserv , 2006, Presence: Teleoperators & Virtual Environments.

[11]  Ivar Jacobson,et al.  Object-oriented software engineering - a use case driven approach , 1993, TOOLS.

[12]  Tracy Fullerton,et al.  Game Design Workshop: Designing, Prototyping, and Playtesting Games , 2004 .

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

[14]  Thomas L. Saaty,et al.  Decision making for leaders , 1985, IEEE Transactions on Systems, Man, and Cybernetics.

[15]  David Chapman,et al.  Pengi: An Implementation of a Theory of Activity , 1987, AAAI.

[16]  Nuruddin Farah,et al.  Yesterday, Tomorrow: Voices from the Somali Diaspora , 2000 .

[17]  G. Hofstede,et al.  Culture′s Consequences: International Differences in Work-Related Values , 1980 .

[18]  Guus Schreiber,et al.  Knowledge Engineering and Management: The CommonKADS Methodology , 1999 .

[19]  Harold D Nelson.  Somalia: A Country Study. , 1981 .

[20]  Gnana Bharathy,et al.  Sociocultural Games for Training and Analysis , 2007, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[21]  Gnana Bharathy,et al.  Modeling factions for “effects based operations”: part I—leaders and followers , 2007, Comput. Math. Organ. Theory.

[22]  I. Janis,et al.  Decision Making: A Psychological Analysis of Conflict, Choice, and Commitment , 1977 .

[23]  Anna Lindley,et al.  Somalia Country Study , 2005 .

[24]  R. Nisbett,et al.  Causal attribution across cultures: Variation and universality. , 1999 .

[25]  Samuel Webb Williams,et al.  The Component Object Model: A Technical Overview , 1994 .