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AAAI
1996
14 years 11 months ago
A Complexity Analysis of Space-Bounded Learning Algorithms for the Constraint Satisfaction Problem
Learning during backtrack search is a space-intensive process that records information (such as additional constraints) in order to avoid redundant work. In this paper, we analyze...
Roberto J. Bayardo Jr., Daniel P. Miranker
AAAI
1997
14 years 11 months ago
Dynamic Prioritization of Complex Agents in Distributed Constraint Satisfaction Problems
Cooperative distributed problem solving (CDPS) loosely-coupledagentscan be effectively modeledas a distributed constraint satisfaction problem(DCSP) whereeach agent has multiple l...
Aaron A. Armstrong, Edmund H. Durfee
CP
2005
Springer
15 years 3 months ago
Dynamic Ordering for Asynchronous Backtracking on DisCSPs
An algorithm that performs asynchronous backtracking on distributed CSPs, with dynamic ordering of agents is proposed, ABT DO. Agents propose reorderings of lower priority agents a...
Roie Zivan, Amnon Meisels
ACST
2006
14 years 11 months ago
Experimental study of hybrid-type distributed maximal constraint satisfaction algorithm
A constraint satisfaction problem (CSP) is a general framework that can formalize various application problems in artificial intelligence. However, practical real-world problems t...
Masato Noto, Masahito Kurihara
ECAI
2000
Springer
15 years 1 months ago
Scheduling Meetings Using Distributed Valued Constraint Satisfaction Algorithm
Abstract. Scheduling meetings is generally difficult in that it attempts to satisfy the preferences of all participants. However, all participants can agree to a schedule in which...
Takuo Tsuruta, Toramatsu Shintani