Abstract
In this paper, we propose a new approach to deal with beliefs by supposing that a rational agent has a degree of trustiness for each information it disposes of. We propose (i) a new framework for dealing with imprecise beliefs and desires; (ii) two algorithms for updating the mental state of an agent in this new setting; (iii) three ways for comparing the resulting fuzzy set of desires and (iv) two postulates which the goal election function must obey. © Springer-Verlag Berlin Heidelberg 2007.
Cite
CITATION STYLE
Da Costa Pereira, C., & Tettamanzi, A. G. B. (2007). From fuzzy beliefs to goals. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4578 LNAI, pp. 1–8). Springer Verlag. https://doi.org/10.1007/978-3-540-73400-0_1
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