Abstract
We introduce an approach to preferences suitable for agents that base decisions on their beliefs. In our work, agents’ preferences are perceived as a consequence of their beliefs, but at the same time are used to feed the knowledge base with beliefs about preferences. As a result, agents can reason with preferences to hypothesize, explain decisions, and review preferences in face of new information. Finally, we integrate utility-based to reasoning-based criteria of decision making.
This is a reviewed and extended version of [10] focused on single agent decisions.
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Sá, S., Alcântara, J. (2013). Preference Handling for Belief-Based Rational Decisions. In: Cabalar, P., Son, T.C. (eds) Logic Programming and Nonmonotonic Reasoning. LPNMR 2013. Lecture Notes in Computer Science(), vol 8148. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40564-8_51
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DOI: https://doi.org/10.1007/978-3-642-40564-8_51
Publisher Name: Springer, Berlin, Heidelberg
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