Source:http://linkedlifedata.com/resource/pubmed/id/11690517
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rdf:type | |
lifeskim:mentions | |
pubmed:issue |
20
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pubmed:dateCreated |
2001-11-5
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pubmed:abstractText |
We study analytically and by computer simulations a complex system of adaptive agents with finite memory. Borrowing the framework of the minority game and using the replica formalism we show the existence of an equilibrium phase transition as a function of the ratio between the memory lambda and the learning rates Gamma of the agents. We show that, starting from a random configuration, a dynamic phase transition also exists, which prevents agents from reaching optimal coordination. Furthermore, in a nonstationary environment, we show by numerical simulations that the phase transition becomes discontinuous.
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pubmed:language |
eng
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pubmed:journal | |
pubmed:citationSubset |
IM
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pubmed:status |
MEDLINE
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pubmed:month |
Nov
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pubmed:issn |
0031-9007
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pubmed:author | |
pubmed:issnType |
Print
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pubmed:day |
12
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pubmed:volume |
87
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
208701
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pubmed:dateRevised |
2004-11-17
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pubmed:meshHeading | |
pubmed:year |
2001
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pubmed:articleTitle |
Learning to coordinate in a complex and nonstationary world.
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pubmed:affiliation |
Istituto Nazionale per la Fisica della Materia, Unità di Trieste-SISSA, I-34014 Trieste, Italy.
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pubmed:publicationType |
Journal Article
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