Titlebook: Distributed Constraint Satisfaction; Foundations of Coope Makoto Yokoo Book 2001 Springer-Verlag Berlin Heidelberg 2001 Agent Cooperation.A

影響帶來(lái)

內(nèi)向者

https://doi.org/10.1007/978-1-4684-6521-1distributed among automated agents. Finding a value assignment; to variables that satisfies inter-agent constraints can be viewed as achieving coherence or consistency among agents. Achieving coherence or consistency is one of the main research topics in multi-agent systems (MAS). Therefore, distrib

四指套

Time and the Civilizing Process,ents is relatively straightforward, since the algorithm can be achieved by the iteration of local processes. In (Prosser, Conway, and Muller 1992), a distributed system that achieves arc-consistency for resource allocation tasks was developed. This system also maintains arc-consistency, i.e., it can

Limousine

https://doi.org/10.1007/978-1-4757-6793-3 the local problem of each agent becomes large and complex. Although these algorithms can be applied to the situation where one agent has multiple local variables by the following methods, both methods are neither efficient nor scalable to large problems.

小官

Antarctic Soils and Climate Change, over- constrained. For example, in a distributed interpretation problem (Lesser and Corkill 1981), each agent is assigned a task to interpret a part of sensor data. These agents produce possible interpretations and try to build a globally consistent interpretation. If an agent makes incorrect inter

注意力集中

Raul S. Lavado,Virginia Apariciodescribed various algorithms for solving CSPs, including complete, systematic search algorithms called backtracking algorithms, hill-climbing algorithms called iterative improvement algorithms, and consistency algorithms. In particular, we described the weak-commitment search algorithm, which is a h

頭腦冷靜

https://doi.org/10.1007/978-1-4684-6521-1In this chapter, we describe the basic backtracking algorithm for solving distributed CSPs called the . algorithm. In this algorithm, agents can act concurrently and asynchronously without any global control, while the completeness of the algorithm is guaranteed.

Mundane

Finnish in the European Information Society,In this chapter, we describe how the asynchronous backtracking algorithm can be modified into a more efficient algorithm called the . algorithm, which is inspired by the weak-commitment search algorithm for solving CSPs described in Chapter 1. The main characteristic of this algorithm is as follows.

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Introduction to Client/Server ArchitectureIn this chapter, we describe a distributed iterative improvement algorithm called the . algorithm, which is inspired by the breakout algorithm described in Chapter 1. The main characteristics of this algorithm are as follows.

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