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 this paper we propose a nonconventional approach for adopting goals which takes the degree of trust in the sources of information into account. Beliefs, desires, and goals, as a consequence, are gradual. Incoming information may be any propositional formula. Two algorithms for updating the mental state of an agent in this new setting are proposed. The first algorithm is relevant to the updating when a new piece of information arrives and the second one is relevant to the updating when a new desire arises.
Goal generation and adoption from partially trusted beliefs / C. da Costa Pereira, A.G.B. Tettamanzi - In: ECAI 2008 : 18. European conference on artificial intelligence : july 21-25, 2008, Patras, Greece : including Prestigious applications of intelligent systems (PAIS 2008) : proceedings / [a cura di] M. Ghallab ... [et al.]. - Amsterdam : IOS press, 2008. - ISBN 9781586038915. - pp. 453-457 (( Intervento presentato al 18. convegno European Conference on Artificial Intelligence tenutosi a Patras, Greece nel 2008.
Goal generation and adoption from partially trusted beliefs
C. da Costa PereiraPrimo
;A.G.B. TettamanziUltimo
2008
Abstract
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 this paper we propose a nonconventional approach for adopting goals which takes the degree of trust in the sources of information into account. Beliefs, desires, and goals, as a consequence, are gradual. Incoming information may be any propositional formula. Two algorithms for updating the mental state of an agent in this new setting are proposed. The first algorithm is relevant to the updating when a new piece of information arrives and the second one is relevant to the updating when a new desire arises.
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