Uncertainty in Artificial Intelligence
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Deliberation and its Role in the Formation of Intentions
Anand Rao, Michael Georgeff
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.
Pages: 300-307
PS Link:
PDF Link: /papers/91/p300-rao.pdf
AUTHOR = "Anand Rao and Michael Georgeff",
TITLE = "Deliberation and its Role in the Formation of Intentions",
BOOKTITLE = "Proceedings of the Seventh Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-91)",
PUBLISHER = "Morgan Kaufmann",
ADDRESS = "San Mateo, CA",
YEAR = "1991",
PAGES = "300--307"

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