Speculative Constraint Processing with Iterative Revision for Disjunctive Answers
Speculative Constraint Processing with Iterative Revision for Disjunctive Answers
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DOI：
10.1007/11750734_19
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发表时间：
2005-06
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影响因子：
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通讯作者：
M. Ceberio;H. Hosobe;K. Satoh
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文献类型：
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作者：
M. Ceberio;H. Hosobe;K. Satoh
在多智能体系统中，由于通信失败或响应延迟而导致的不完全性是一个需要处理的主要问题。面对不完整性，提出了推测计算的框架（参见参考文献[5，6，7]）。在这种框架中开发的想法是允许询问代理在等待从代理回复时使用默认信念进行推理，直到回复被发送。特别地，K. Satoh和K. Yamamoto [7]提出了一个框架，该框架不仅允许代理执行推测计算，而且还允许代理接受是/否问题的迭代答案修改。在本文中，我们提出了一个扩展的框架，更一般类型的问题，使用约束逻辑编程（CLP）。
In multi-agents systems, incompleteness, due to either communication failure or response delay, is a major problem to handle. To face incompleteness, frameworks for speculative computation were proposed (see references [5, 6, 7]). The idea developed in such frameworks is to allow the asking agent, while waiting for the slave agents to reply, to reason using default beliefs until replies are sent.In particular, K. Satoh and K. Yamamoto [7] proposed a framework that allows an agent not only to perform speculative computation, but also to accept iterative answer revision for yes/no questions. In this paper, we present an extension of the framework for more general types of questions using constraint logic programming (CLP).