Constraints and Design Choices in Building Intelligent Pilots for Simulated Aircraft : Extended Abstract

1. Introduction This paper focuses on our recent research effort aimed at developing human-like, intelligent agents (virtual humans) for large-scale, interactive simulation environments (virtual reality). These simulated environments have sufficiently high fidelity and realism[l 1,23] that constructing intelligent agents requires us to face many of the hard research challenges faced by physical agents in the real world-in particular, the integration of a variety of intelligent capabilities, including goal-driven behavior, reactivity, real-time performance, planning, learning, spatial and temporal reasoning, and natural language communication. However, since this is a synthetic environment, these intelligent agents do not have to deal with issues of low-level perception and robotic control. Important applications of this agent technology can be found in areas such as education [14], manufacturing [11], entertainment [2, 12] and training [7, 24].

[1]  M. F. Mar,et al.  ModSAF Behavior Simulation and Control , 1993 .

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

[3]  Richard Reviewer-Granger Unified Theories of Cognition , 1991, Journal of Cognitive Neuroscience.

[4]  B. Habibi,et al.  Pengi : An Implementation of A Theory of Activity , 1998 .

[5]  Milind Tambe,et al.  Eliminating Expensive Chunks by Restricting Expressiveness , 1989, IJCAI.

[6]  John E. Laird,et al.  On Unified Theories of Cognition: A Response to the Reviews , 1993, Artif. Intell..

[7]  Milind Tambe,et al.  Intelligent Agents for Interactive Simulation Environments , 1995, AI Mag..

[8]  Allen Newell,et al.  A Preliminary Analysis of the Soar Architecture as a Basis for General Intelligence , 1991, Artif. Intell..

[9]  Arie Covrigaru Emergence of meta-level control in multi-tasking autonomous agents , 1992 .

[10]  Tom M. Mitchell,et al.  Explanation-Based Generalization: A Unifying View , 1986, Machine Learning.

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

[12]  Milind Tambe,et al.  Collected Papers of the Soar/IFOR Project: Spring 1994 , 1994 .

[13]  Christina L. Bouwens The DIS Vision: A Map to the Future of Distributed Simulation , 1993 .

[14]  David J. Israel,et al.  Plans and resource‐bounded practical reasoning , 1988, Comput. Intell..

[15]  Milind Tambe,et al.  Intelligent Automated Agents for Flight Training Simulators , 1993 .

[16]  John E. Laird,et al.  Mapping Explanation-Based Generalization onto Soar , 1986, AAAI.