Goal-Based Personalities and Social Behaviors in Believable Agents

Agents are considered "believable" when viewed by an audience as endowed with behaviors, attitudes, and emotions typical of different personalities. Our work is aimed at realizing believable agents that perform helping behaviors influenced by their personalities, which we represent as different clusters of prioritized goals and preferences over plans for achieving goals. The article describes how such a model of personality is implemented in planning with the PRODIGY system and in execution with the RAP system. Both systems are integrated in a plan-based architecture where behaviors characteristic ofdifferent "helping personality types" are automatically designed and executed in a virtual world. The article also shows examples of the kinds of plan produced by PRODIGY for different personalities and contexts and how such plans are executed by RAP when a helping character interacts with a user in a virtual world.

[1]  M. Ford Motivating Humans: Goals, Emotions, and Personal Agency Beliefs , 1992 .

[2]  Barbara Hayes-Roth,et al.  Multiagent Collaboration in Directed Improvisation , 1997, ICMAS.

[3]  Lawrence A. Pervin,et al.  Personality : current theory and research , 1983 .

[4]  Roger C. Schank,et al.  Scripts, plans, goals and understanding: an inquiry into human knowledge structures , 1978 .

[5]  A. B. Loyall,et al.  Integrating Reactivity, Goals, and Emotion in a Broad Agent , 1992 .

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

[7]  D. Christopher Dryer,et al.  Ghosts in the Machine: Personalities for Socially Adroit Software Agents , 1997 .

[8]  W. S. Reilly,et al.  Believable Social and Emotional Agents. , 1996 .

[9]  Pattie Maes,et al.  Artificial life meets entertainment: lifelike autonomous agents , 1995, CACM.

[10]  David E. Wilkins,et al.  A Common Knowledge Representation for Plan Generation and Reactive Execution , 1995, J. Log. Comput..

[11]  Stanley J. Rosenschein,et al.  An architecture for adaptive intelligent systems , 1996 .

[12]  Lawrence A. Pervin,et al.  Goal concepts in personality and social psychology. , 1989 .

[13]  D. Ford Humans as Self-Constructing Living Systems , 1987 .

[14]  M.P. Georgeff,et al.  Procedural knowledge , 1986, Proceedings of the IEEE.

[15]  Athomas Goldberg IMPROV: A System for Real-Time Animation of Behavior-Based Interactive Synthetic Actors , 1997, Creating Personalities for Synthetic Actors.

[16]  Amedeo Cesta,et al.  On Helping Behavior in Cooperative Environments , 1995 .

[17]  Jim Blythe,et al.  Integrating Reactive and Deliberative Planning for Agents , 1993 .

[18]  Eugene Fink,et al.  Integrating planning and learning: the PRODIGY architecture , 1995, J. Exp. Theor. Artif. Intell..

[19]  M. Ford,et al.  A Taxonomy of Human Goals and Some Possible Applications , 2019, Humans as Self-Constructing Living Systems.

[20]  Robert A Emmons,et al.  The personal striving approach to personality. , 1989 .

[21]  Manuela M. Veloso,et al.  The Need for Different Domain-independent Heuristics , 1994, AIPS.

[22]  Aaron Bryan Loyall,et al.  Believable agents: building interactive personalities , 1997 .

[23]  David P. Miller,et al.  Experiences with an architecture for intelligent, reactive agents , 1995, J. Exp. Theor. Artif. Intell..

[24]  Rino Falcone,et al.  Social Attitudes and Personalities in Agents , 1997 .

[25]  C. Sidner,et al.  Plans for Discourse , 1988 .

[26]  M VelosoManuela,et al.  Derivational Analogy in PRODIGY , 1993 .

[27]  Amedeo Cesta,et al.  Personality-Driven Social Behaviors in Believable Agents , 1997 .

[28]  Brenda Laurel,et al.  Computers as theatre , 1991 .

[29]  R. James Firby,et al.  An Investigation into Reactive Planning in Complex Domains , 1987, AAAI.

[30]  Manuela Veloso,et al.  Mapping Planning Actions and Partially-Ordered Plans into Execution Knowledge , 1998 .

[31]  Jaime G. Carbonell,et al.  Towards a Process Model of Human Personality Traits , 1980, Artif. Intell..

[32]  C. Welin Scripts, plans, goals and understanding, an inquiry into human knowledge structures: Roger C. Schank and Robert P. Abelson Hillsdale: Lawrence Erlbaum Associates, 1977. 248 pp. £ 10.60 hardcover , 1979 .

[33]  Manuela M. Veloso,et al.  Planning and Learning by Analogical Reasoning , 1994, Lecture Notes in Computer Science.