Resolving CSP with naming games

2Citations
Citations of this article
2Readers
Mendeley users who have this article in their library.
Get full text

Abstract

In constraint satisfaction problems (CSP) we consider N variables x 1,x 2, ...x N , their definition domains D 1,D 2, ...,D N and a set of constraints on the values of these variables; solving the CSP means finding a particular value for the variables that satisfies the constraints. In the distributed CSP (DCSP) as defined by Makoto Yokoo [1], the variables of the CSP are distributed among the agents. These agents are able to communicate between themselves and know all the constraint predicates relevant to their variable. The agents through interaction find the appropriate values to solve the CSP. The naming game describes a set of problems in which a number N of agents bootstrap a commonly agreed name for an object. Each naming game is defined by an interaction protocol/algorithm. An important aspect of the naming game is the hierarchy-free agent architecture. For other references on the naming game see the work of Steels [3] and Baronchelli et al. [2]. © 2008 Springer Berlin Heidelberg.

Cite

CITATION STYLE

APA

Gosti, G. (2008). Resolving CSP with naming games. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5366 LNCS, pp. 807–808). https://doi.org/10.1007/978-3-540-89982-2_83

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free