Publication Type

Conference Proceeding Article

Publication Date

12-2015

Abstract

Distributed constraint optimization (DCOP) problems are well-suited for modeling multi-agent coordination problems. However, it only models static problems, which do not change over time. Consequently, researchers have introduced the Dynamic DCOP (DDCOP) model to model dynamic problems. In this paper, we make two key contributions: (a) a procedure to reason with the incremental changes in DDCOPs and (b) an incremental pseudo-tree construction algorithm that can be used by DCOP algorithms such as any-space ADOPT and any-space BnB-ADOPT to solve DDCOPs. Due to the incremental reasoning employed, our experimental results show that any-space ADOPT and any-space BnB-ADOPT are up to 42% and 38% faster, respectively, with the incremental procedure and the incremental pseudo-tree reconstruction algorithm than without them.

Keywords

ADOPT, BnB-ADOPT, dynamic DCOP, DCOP

Discipline

Databases and Information Systems

Research Areas

Intelligent Systems and Decision Analytics

Publication

Web Intelligent and Intelligent Agent Technologies, WI-IAT, 2015

First Page

1

Last Page

8

Publisher

IEEE

City or Country

Singapore

Additional URL

http://idm-lab.org/bib/abstracts/Koen15k.html

Share

COinS