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. © 2008 International Federation for Information Processing.
CITATION STYLE
Trigo, P., & Coelho, H. (2008). Decisions with multiple simultaneous goals and uncertain causal effects. In IFIP International Federation for Information Processing (Vol. 276, pp. 13–22). https://doi.org/10.1007/978-0-387-09695-7_2
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