Abstract: Constraint programming(CP) as a practical AI programming paradigm has gained ever-increasing significance in recent years. A challenging issue for CP is how to achieve the conjunctive merits of declarative representation, systematic and heuristic search , and computational efficiency. This paper describes the work on a constraint language COPS. The project is motivated to explore the practical techniques in constraint languages that enable them to solve complet real-world problems that are difficult with conventional programming languages. The kernel syntax of COPS is presented, the semantics are briefly introduced, and the main inference techniques are described.

摘要： 约束程序设计作为面向智能应用的实用型程序设计风格正在AI领域产生越来越大的影响，其关键问题是如何将说明性的知识表示、系统化和启发式的推理搜索能力以及合理的确定性计算开销统一起来。该文介绍了设计实现的并发约束程序设计语言COPS。COPS系统的主要目标是探索智能语言的实用化与工程化，使其能够真正解决现实世界中用常规语言难以实现的智能应用问题。还介绍了COPS语言的表示及涉及的主要推理技术。

关键词: 并发约束程序设计, 规则, 约束传播

CLC Number: 

• TP312