Abstract

Automated negotiation is an important applying field of agent theory and technology. For the current agent theoretical models have some troubles' in explaining the agent's negotiation behaviors, this paper defines utility as costs and incomes coming from transformation from one negotiation's possible state to another, this lead to a semantic model fitting the agent's automated negotiation. Then, on base of the classical belief-desire-intention model, a logic named BDI-U is completely proposed, which can support the agent's negotiating behavior. The work performs five steps: designing formal language, designing semantic model, explaining semantics, proposing and explaining axiom, proving validity proof for the axioms.

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