Deliberation and its role in the formation of intentions

Authors:
Anand S. Rao;Michael P. Georgeff
Affiliations:
Australian Artificial Intelligence Institute, Carlton, Victoria, Australia;Australian Artificial Intelligence Institute, Carlton, Victoria, Australia
Venue:
UAI'91 Proceedings of the Seventh conference on Uncertainty in Artificial Intelligence
Year:
1991

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Abstract

Deliberation plays an important role in the design of rational agents embedded in the real-world. In particular, deliberation leads to the formation of intentions, i.e., plans of action that the agent is committed to achieving. In this paper, we present a branching time possible-worlds model for representing and reasoning about, beliefs, goals, intentions, time, actions, probabilities, and payoffs. We compare this possible-worlds approach with the more traditional decision tree representation and provide a transformation from decision trees to possible worlds. Finally, we illustrate how an agent can perform deliberation using a decision-tree representation and then use a possible-worlds model to form and reason about his intentions.