Interactive multistage simulation of goal-driven agents

Angelo E. M. CiarliniAntonio L. Furtado

Multistage simulation is employed to help predicting the future actions of collaborating or competing agents, interacting in the mini-world covered by a temporal database. At each stage, their goals are inferred from the current situation, with the help of rules designed to model their behavioural patterns, in turn extracted from records of their past actions. Besides goal-inference rules, the simulation machinery adapts and combines plan-recognition and generation algorithms. The resulting environment is highly interactive, allowing the user to interfere in various ways. A prototype tool ( IPG ), implemented in Prolog augmented with constraint programming features, was developed and is being used to run experiments.

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