TY - GEN
T1 - An approach to over-constrained distributed constraint satisfaction problems
T2 - 4th International Conference on MultiAgent Systems, ICMAS 2000
AU - Hirayama, K.
AU - Yokoo, Makoto
PY - 2000/1/1
Y1 - 2000/1/1
N2 - Many problems in multi-agent systems can be described as distributed CSPs. However some real-life problems can be over-constrained and without a set of consistent variable values when described as a distributed CSP. We have presented the distributed partial CSP for handling such an over-constrained situation and the distributed maximal CSP as a subclass of distributed partial CSP. We first show another subclass of distributed partial CSP, the distributed hierarchical CSP. Next, we present a series of new algorithms for solving a distributed hierarchical CSP, each of which is designed based on our previous distributed constraint satisfaction algorithms. Finally we evaluate the performance of our new algorithms on distributed 3-coloring problems in terms of optimality and anytime characteristics. The results show that our new algorithms perform much better than the previous algorithm for finding an optimal solution and produce good results for anytime characteristics.
AB - Many problems in multi-agent systems can be described as distributed CSPs. However some real-life problems can be over-constrained and without a set of consistent variable values when described as a distributed CSP. We have presented the distributed partial CSP for handling such an over-constrained situation and the distributed maximal CSP as a subclass of distributed partial CSP. We first show another subclass of distributed partial CSP, the distributed hierarchical CSP. Next, we present a series of new algorithms for solving a distributed hierarchical CSP, each of which is designed based on our previous distributed constraint satisfaction algorithms. Finally we evaluate the performance of our new algorithms on distributed 3-coloring problems in terms of optimality and anytime characteristics. The results show that our new algorithms perform much better than the previous algorithm for finding an optimal solution and produce good results for anytime characteristics.
UR - http://www.scopus.com/inward/record.url?scp=84962118508&partnerID=8YFLogxK
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U2 - 10.1109/ICMAS.2000.858445
DO - 10.1109/ICMAS.2000.858445
M3 - Conference contribution
AN - SCOPUS:84962118508
T3 - Proceedings - 4th International Conference on MultiAgent Systems, ICMAS 2000
SP - 135
EP - 142
BT - Proceedings - 4th International Conference on MultiAgent Systems, ICMAS 2000
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 10 July 2000 through 12 July 2000
ER -