Representation and Reasoning for Goals in BDI Agents

John Thangarajah, L. Padgham, James Harland
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引用次数: 77

Abstract

A number of agent-oriented programming systems are based on a framework of beliefs, desires and intentions (BDI) and more explicitly on the BDI logic of Rao and Georgeff. In this logic, goals are a consistent set of desires, and this property is fundamental to the semantics of the logic. However, implementations based on this framework typically have no explicit representation of either desires or goals, and consequently no mechanisms for checking consistency. In this paper we address this gap between theory and practice by giving an explicit representation for a simple class of desires. The simplicity of this class makes it both straightforward and efficient to check for consistency. We provide a general framework for conflict resolution based on a preference ordering of sets of goals, and we illustrate how different rules for specifying consistent goal sets (corresponding to different preference orderings) relate to existing commitment strategies. We also report on some implementation experiments which confirm that the cost of consistency maintenance is not significant.
BDI智能体中目标的表示与推理
许多面向智能体的编程系统都是基于信念、欲望和意图(BDI)的框架,更明确地说是基于Rao和Georgeff的BDI逻辑。在这个逻辑中,目标是一组一致的愿望,这个属性是逻辑语义的基础。然而,基于此框架的实现通常没有对愿望或目标的显式表示,因此没有检查一致性的机制。在本文中,我们通过对一类简单的愿望给出明确的表示来解决理论与实践之间的差距。这个类的简单性使得检查一致性既直接又有效。我们提供了一个基于目标集偏好顺序的冲突解决的一般框架,并说明了用于指定一致目标集(对应于不同偏好顺序)的不同规则如何与现有承诺策略相关。我们还报告了一些实现实验,这些实验证实一致性维护的成本并不大。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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