2013
DOI: 10.1002/9781118753620
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Algorithms and Ordering Heuristics for Distributed Constraint Satisfaction Problems

Abstract: Distributed Constraint Satisfaction Problems (DisCSP) is a general framework for solving distributed problems. DisCSP have a wide range of applications in multi-agent coordination. In this thesis, we extend the state of the art in solving the DisCSPs by proposing several algorithms. Firstly, we propose the Nogood-Based Asynchronous Forward Checking (AFC-ng), an algorithm based on Asynchronous Forward Checking (AFC). However, instead of using the shortest inconsistent partial assignments, AFC-ng uses nogoods as… Show more

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Cited by 8 publications
(4 citation statements)
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References 27 publications
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“…The DisCSP algorithms have been implied in manufacturing control architectures, mainly in the research field; even so, they were rarely applied in real‐life problems, the weak adoption of multiagent control systems being discussed in Leitão . About this, the use of a CPN model can facilitate the design and implementation of multiagent and holonic control schemes .…”
Section: Related Workmentioning
confidence: 99%
“…The DisCSP algorithms have been implied in manufacturing control architectures, mainly in the research field; even so, they were rarely applied in real‐life problems, the weak adoption of multiagent control systems being discussed in Leitão . About this, the use of a CPN model can facilitate the design and implementation of multiagent and holonic control schemes .…”
Section: Related Workmentioning
confidence: 99%
“…If no λ i stronger than λ i exists, the backtracking target x t is the variable that has the lowest priority among Σ i in the current order λ i . For more details we refer the reader to [1,25].…”
Section: Agile Asynchronous Backtrackingmentioning
confidence: 99%
“…It has been proved that AgileABT is sound, complete and terminates [1,25]. The termination proofs of AgileABT are based on the fact that the termination value is a tuple of positive integers (representing the expected sizes of the domains of other agents) and, as search progresses, these tuples can only decrease lexicographically.…”
Section: Example Of Running Agileabtmentioning
confidence: 99%
“…For example, on the previous CSP, A = {(b,0),(c,1)} is the assignment that instantiates b to 0 and c to 1. [8] An assignment is said to be total if it instantiates all the variables of the problem; it is said to be partial if it instantiates only one part. In our example, A1 = {(a,1),(b,0),(c,0),(d,0)} is a total assignment ; A2 = {(a,0),(b,0)} is a partial assignment.…”
Section: Solution Of a Cspmentioning
confidence: 99%