Probability theory captures a number of essential characteristics of human cognition, including aspects of perception, reasoning, belief revision, and learning.
机率理论涵盖了人类认知中的许多重要特征，包括感知、推理、信念改变和学习方面。
We embed Bayes learning mechanism on the basis of the negotiation model, and elaborate process descriptions of evaluating offers, belief revision and proposing counter-offers are presented.
在该协商模型的基础上引入贝叶斯学习机制，并分别对更新信念、生成提议等协商过程作了详细阐述。
In this paper, an approach to the revision of a finite belief set is presented.
讨论了信念集是有限子句集时的信念修正方法。
It will 1 incur a revision of belief.
这件事将导致一次信念的转变。
It will 1 incur a revision of belief.
这件事将导致一次信念的转变。
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