| T. Eiter, V. S. Subrahmanian, and G. Pick, "Heterogeneous active agents, I: Semantics," Artificial Intelligence, vol. 108, no. 1-2, pp. 179--255, 1999. |
.... planning or on variants of decision theory like qualitative decision theory [13, 1] other models are based on cognitive models like belief desire intention models [5, 14] and yet other models are based on social concepts like obligations and norms [6, 20, 19] as in deontic action programs [8]. Typically, the decision model is based on an attempt to reach goals, satisfy desires, or ful ll obligations. In the Belief Obligation IntentionDesire or BOID architecture [4] decision models are considered in which the main problem is not nding out how to reach goals, satisfy desires or ful ll ....
.... BDP logic [18] which is in turn based on Reiter s default logic [15] In particular, BDP logic is based on con ict resolution for conditional beliefs and desires, which is extended in the BOID logic with conditional obligations and intentions borrowed from respectively deontic action programs [8] and BDI logic [5, 14] The BOID logic is an abstraction from the BOID architecture, in the sense that in the latter the components may not contain rules or be based on propositional logic, and in case of limited resources the extensions may not be xpoints. The contributions of this paper are ....
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Thomas Eiter, V.S. Subrahmanian, and George Pick. Heterogeneous active agents I: Semantics. Articial Intelligence, 108 (1-2):179-255, 1999.
.... planning or on variants of decision theory like qualitative decision theory [15, 3] other models are based on cognitive models like belief desire intention models [7, 16] and yet other models are based on social concepts like obligations and norms [10, 23, 22] as in deontic action programs [12]. Typically, the decision model is based on an attempt to reach goals, satisfy desires, ful ll obligations etc. Here we consider decision models for an agent that is overloaded with input, and typically lives in a complex and noisy environment. His main problem is not to nd a way to reach his ....
.... AND DESIRES Reasoning about beliefs, obligations, intentions and desires has been discussed in practical reasoning in philosophy [24, 4] and its formalization to build intelligent autonomous agents has more recently been discussed in qualitative decision making in arti cial intelligence [11, 12, 18, 21]. On closer inspection each of these four concepts consists of related (though often quite distinct) concepts, for example respectively knowledge and defaults, prohibitions and permissions, commitments and plans, wishes and wants. All these concepts are grouped into these four classes due to their ....
T. Eiter, V. Subrahmanian, and G. Pick. Heterogeneous active agents I: Semantics. Articial Intelligence, 108 (1-2):179-255, 1999.
No context found.
T. Eiter, V. S. Subrahmanian, and G. Pick, "Heterogeneous active agents, I: Semantics," Artificial Intelligence, vol. 108, no. 1-2, pp. 179--255, 1999.
No context found.
Eiter, T., V. Subrahmanian, and G. Pick: 1999, `Heterogeneous active agents, I: Semantics'. Artificial Intelligence 108(1-2), 179--255.
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