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Article: Playing the hypothesis testing minority game in the maximal reduced strategy space

TitlePlaying the hypothesis testing minority game in the maximal reduced strategy space
Authors
KeywordsCrowd-anticrowd theory
Global cooperation
Hypothesis testing
Minority game
Periodic dynamics
Issue Date2008
PublisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/physa
Citation
Physica A: Statistical Mechanics And Its Applications, 2008, v. 387 n. 23, p. 5874-5886 How to Cite?
AbstractHypothesis Testing Minority Game (HMG) is a variant of the standard Minority Game (MG) that models the inertial behavior of agents in the market. In the earlier study of our group, we find that agents cooperate better in HMG than in the standard MG when strategies are picked from the full strategy space. Here we continue to study the behavior of HMG when strategies are chosen from the maximal reduced strategy space. Surprisingly, we find that, unlike the standard MG, the level of cooperation in HMG depends strongly on the strategy space used. In addition, a novel intermittency dynamics is also observed in the minority choice time series in a certain parameter range in which the orderly phases are characterized by a variety of periodic dynamics. Remarkably, all these findings can be explained by the crowd-anticrowd theory. © 2008 Elsevier B.V. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/59628
ISSN
2015 Impact Factor: 1.785
2015 SCImago Journal Rankings: 0.738
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorChau, HFen_HK
dc.contributor.authorChan, VHen_HK
dc.contributor.authorChow, FKen_HK
dc.date.accessioned2010-05-31T03:54:05Z-
dc.date.available2010-05-31T03:54:05Z-
dc.date.issued2008en_HK
dc.identifier.citationPhysica A: Statistical Mechanics And Its Applications, 2008, v. 387 n. 23, p. 5874-5886en_HK
dc.identifier.issn0378-4371en_HK
dc.identifier.urihttp://hdl.handle.net/10722/59628-
dc.description.abstractHypothesis Testing Minority Game (HMG) is a variant of the standard Minority Game (MG) that models the inertial behavior of agents in the market. In the earlier study of our group, we find that agents cooperate better in HMG than in the standard MG when strategies are picked from the full strategy space. Here we continue to study the behavior of HMG when strategies are chosen from the maximal reduced strategy space. Surprisingly, we find that, unlike the standard MG, the level of cooperation in HMG depends strongly on the strategy space used. In addition, a novel intermittency dynamics is also observed in the minority choice time series in a certain parameter range in which the orderly phases are characterized by a variety of periodic dynamics. Remarkably, all these findings can be explained by the crowd-anticrowd theory. © 2008 Elsevier B.V. All rights reserved.en_HK
dc.languageengen_HK
dc.publisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/physaen_HK
dc.relation.ispartofPhysica A: Statistical Mechanics and its Applicationsen_HK
dc.subjectCrowd-anticrowd theoryen_HK
dc.subjectGlobal cooperationen_HK
dc.subjectHypothesis testingen_HK
dc.subjectMinority gameen_HK
dc.subjectPeriodic dynamicsen_HK
dc.titlePlaying the hypothesis testing minority game in the maximal reduced strategy spaceen_HK
dc.typeArticleen_HK
dc.identifier.emailChau, HF: hfchau@hku.hken_HK
dc.identifier.authorityChau, HF=rp00669en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.physa.2008.06.047en_HK
dc.identifier.scopuseid_2-s2.0-48649083919en_HK
dc.identifier.hkuros148525en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-48649083919&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume387en_HK
dc.identifier.issue23en_HK
dc.identifier.spage5874en_HK
dc.identifier.epage5886en_HK
dc.identifier.isiWOS:000259417500022-
dc.publisher.placeNetherlandsen_HK
dc.identifier.scopusauthoridChau, HF=7005742276en_HK
dc.identifier.scopusauthoridChan, VH=24480697700en_HK
dc.identifier.scopusauthoridChow, FK=7005264096en_HK

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