From Fuzzy Beliefs to Goals
نویسندگان
چکیده
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.
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Goal generation with relevant and trusted beliefs
A rational agent adopts (or changes) its goals when new information (beliefs) becomes available or its desires (e.g., tasks it is supposed to carry out) change. In conventional approaches to goal generation in which a goal is considered as a “particular” desire, a goal is adopted if and only if all conditions leading to its generation are satisfied. It is then supposed that all beliefs are equa...
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