AIS: a foundation for practical artificially intelligent systems

[1989] Proceedings of the Twenty-Second Annual Hawaii International Conference on System Sciences. Volume III: Decision Support and Knowledge Based Systems Track Pub Date : 1989-01-03 DOI:10.1109/HICSS.1989.49185

K. Kandt

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引用次数: 1

Abstract

The design of the Artificial Intelligence Substrate (AIS) is presented. It is a Lisp-based knowledge representation language (KRL) to support large-scale distributed artificial intelligence (DAI) applications. AIS uses a two-level data model. One level acts as a permanent repository of information and the other contains a partial working set of it. The basic data model stores information as entities and relational tuples. Demons, which are procedures that respond to pattern-matched transactions, are used to maintain consistency of the database and to automate standard activities. On top of the entity-relationship data model an object-oriented scheme has been implemented. A forward- and backward-chained rule-based system also has been developed in terms of the object-oriented system. Each of these knowledge representation schemes have associated optimization strategies. Finally, an automatic classification algorithm is available so that domain models can be constructed from exemplars.<>

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AIS:实用人工智能系统的基础

介绍了人工智能基板的设计。它是一种支持大规模分布式人工智能应用的基于lisp的知识表示语言(KRL)。AIS采用两级数据模型。一个级别充当信息的永久存储库，另一个级别包含信息的部分工作集。基本数据模型将信息存储为实体和关系元组。恶魔是响应模式匹配事务的过程，用于维护数据库的一致性并使标准活动自动化。在实体-关系数据模型的基础上，实现了面向对象的方案。在面向对象系统的基础上，开发了基于规则的前向链和后向链系统。每种知识表示方案都有相应的优化策略。最后，提出了一种自动分类算法，使领域模型能够从样本中构造出来。

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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[1989] Proceedings of the Twenty-Second Annual Hawaii International Conference on System Sciences. Volume III: Decision Support and Knowledge Based Systems Track

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