Discrete-time Hogg-Huberman strategy with net bias

Electronics and Communications in Japan, Part III: Fundamental Electronic Science (English translation of Denshi Tsushin Gakkai Ronbunshi)

Volumn 83, Issue 1, 2000, Pages 31-37

  Imamori, Takehiro ^a   Ushio, Toshimitsu ^a  

^a OSAKA UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

CHAOS THEORY; COMPUTATIONAL METHODS; MATHEMATICAL MODELS;

HOGG-HUBERMAN MODEL;

ARTIFICIAL INTELLIGENCE;

EID: 0033627221     PISSN: 10420967     EISSN: None     Source Type: Journal    
DOI: 10.1002/(SICI)1520-6440(200001)83:1<31::AID-ECJC4>3.0.CO;2-R     Document Type: Article

References (8)

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3. Kephart JO, Hogg T, Hubermann BA. Collective behavior of predictive agents. Physica D 1990;42:48-65.
4. Hogg T, Hubermann BA. Controlling chaos in distributed systems. IEEE Trans Syst Man Cybern 1991; SNC-21:1325-1332.
5. Ushio Y, Motonaka N. Emergent phenomena by nonlinear dynamics - case of discrete-time Hogg-Huberman model. Proc. SICE'95, Sapporo, July 1995, p 883-884.
6. Ushio T. Control of chaos. Asakura Shoten; 1996.
7. Kaplan JL, Yorke JA. Preturbulence: a regime observed in a fluid flow model of Lorentz. Commun Math Phys 1979;67:93-108.
8. Ott E. Chaos in dynamical systems. Cambridge: Cambridge University Press; 1993.