分布式知识表示体系结构中的智能修改

S. Jacobi, W. Hower
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引用次数: 3

摘要

为分布式知识库的更新过程引入了一种新的机制,以允许对协作交互的灵活响应。本文主要研究给定问题描述根据交互作用的智能变化。这个特性很重要,因为通常从一开始就没有完整的问题规范。另一个动机是需要处理不一致情况的检测(传统的解决方案是不可能的)。我们的方法实现了这样一种理念,即改变那些真正受到修改直接影响的部分;因此,整个重新计算通常可以被抑制。由于全局约束满足的指数复杂度,对该特征进行高级建模是必不可少的。我们首先对相关工作进行概述。我们举例说明约束处理范例。本文介绍了对约束满足算法的基本改进,这些改进是为了实现智能更新而提出的。后面描述实际的过程。最后,我们举例说明推理技术
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intelligent modifications in a distributed knowledge-representation architecture
Introduces a novel mechanism for the updating process in a distributed knowledge base to allow flexible responses to cooperative interaction. The paper focuses upon the intelligent change of a given problem description according to some interaction. This feature is important because one often does not have handy the complete problem specification right from the beginning. Another motivation is the necessity to cope with the detection of inconsistent situations (where no traditional solution is possible). Our approach realizes the philosophy just to change those parts which are really influenced directly by the modifications; so, an entire recomputation can often be suppressed. An advanced modelling of this feature is indispensable, due to the exponential complexity of global constraint satisfaction. We first recapitulate related work. We illustrate the constraint processing paradigm. We introduce the basic alterations to the constraint satisfaction algorithm which are proposed for intelligent updating. The actual procedure is depicted subsequently. Finally, we exemplify the reasoning technique.<>
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