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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 resultingdoi:10.1590/s0104-65001999000300004 fatcat:vxfwcj2gtrfkrlk7iwhdiygn3a