Open constraint programming

作者:

摘要

Traditionally, constraint satisfaction problems (CSP) have assumed closed-world scenarios where all domains and constraints are fixed from the beginning. With the Internet, many of the traditional CSP applications in resource allocation, scheduling and planning pose themselves in open-world settings, where domains and constraints must be discovered from different sources in a network. To model this scenario, we define open constraint satisfaction problems (OCSP) as CSP where domains and constraints are incrementally discovered through a network. We then extend the concept to open constraint optimization (OCOP).

论文关键词:Constraint satisfaction,Multi-agent systems,Distributed AI

论文评审过程:Received 6 March 2003, Accepted 1 October 2004, Available online 17 November 2004.

论文官网地址:https://doi.org/10.1016/j.artint.2004.10.005