作者: Enrico Pontelli , Tiep Le , Tran Cao Son , William Yeoh
DOI:
关键词: Constraint satisfaction 、 Concurrent constraint logic programming 、 Constraint logic programming 、 Mathematical optimization 、 Constraint (information theory) 、 Constraint programming 、 Logic programming 、 Constraint satisfaction problem 、 Computer science 、 Distributed constraint optimization
摘要: The field of Distributed Constraint Optimization Problems (DCOPs) has gained momentum, thanks to its suitability in capturing complex problems (e.g., multi-agent coordination and resource allocation problems) that are naturally distributed cannot be realistically addressed a centralized manner. state the art solving DCOPs relies on use ad-hoc infrastructures constraint procedures. This paper investigates an infrastructure for is completely built logic programming technologies. In particular, explores general solver (a system this context) handle agent-level solving. preliminary experiments show provides benefits over state-of-the-art DCOP system, terms performance scalability, opening doors more advanced technology search strategies constraints) DCOPs.