分布式多智能体环境下的概率推理

S. Wong, C. Butz
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引用次数: 9

摘要

本文提出了一种分布式环境下的多智能体概率推理模型。与其他方法不同,该模型能够以真正的异步方式处理输入。开发了异步控制协议和处理证据的方法,以确保始终保持全局一致性。由于现在可以引入定义良好的分布式请求概念,因此所提议的系统可以扩展到解释性系统之外。在回答这类请求时,还建议采用减少数据传输的技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Probabilistic reasoning in a distributed multi-agent environment
In this paper, a model is proposed for multi-agent probabilistic reasoning in a distributed environment. Unlike other methods, this model is capable of processing input in a truly asynchronous fashion. Asynchronous control protocols and a method for processing evidence are developed to ensure global consistency at all times. The proposed system then extends beyond an interpretive system since the now well-defined concept of a distributed request can be introduced. Techniques are also suggested to reduce data transmission in answering this type of request.
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