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. © 2013 Springer-Verlag.
CITATION STYLE
Sá, S., & Alcântara, J. (2013). Preference handling for belief-based rational decisions. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8148 LNAI, pp. 518–523). https://doi.org/10.1007/978-3-642-40564-8_51
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