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Authors
Advisor(s)
Abstract(s)
A key aspect of decision-making in a disaster response scenario is the capability to evaluate multiple and simultaneously perceived goals. Current competing approaches to build decision-making agents are either mental-state based as BDI, or founded on decision-theoretic models as MDP. The BDI chooses heuristically among several goals and the MDP searches for a policy to achieve a specific goal. In this paper we develop a preferences model to decide among multiple simultaneous goals. We propose a pattern, which follows a decision-theoretic approach, to evaluate the expected causal effects of the observable and non-observable aspects that inform each decision. We focus on yes-or-no (i.e., pursue or ignore a goal) decisions and illustrate the proposal using the RoboCupRescue simulation environment.
Description
Keywords
Multiple simultaneous goals Decisions Uncertain causal effects
Citation
TRIGO, Paulo; COELHO, Helder – Decisions with multiple simultaneous goals and uncertain causal effects. In Artificial Intelligence in Theory and Practice II. Milano, Italy: Springer, 2008. ISBN 978-0-387-09694-0. Vol. 276. Pp. 13-22.