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Application and development of biologically plausible neural networks in a multiagent artificial life system (2009)

  • Authors:
  • USP affiliated authors: ROSA, JOÃO LUIS GARCIA - ICMC
  • USP Schools: ICMC
  • DOI: 10.1007/s00521-007-0156-0
  • Subjects: INTELIGÊNCIA ARTIFICIAL
  • Language: Inglês
  • Imprenta:
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    Informações sobre o DOI: 10.1007/s00521-007-0156-0 (Fonte: oaDOI API)
    • Este periódico é de assinatura
    • Este artigo NÃO é de acesso aberto
    Informações sobre o Citescore
  • Título: Neural Computing and Applications

    ISSN: 0941-0643

    Citescore - 2017: 3.1

    SJR - 2017: 0.7

    SNIP - 2017: 1.364


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    ICMC1795268-10PROD-1795268
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    • ABNT

      SCHNEIDER, Marvin Oliver; ROSA, João Luis Garcia. Application and development of biologically plausible neural networks in a multiagent artificial life system. Neural Computing & Applications, London, Springer,, v. 18, n. 1, p. 65-75, 2009. Disponível em: < http://www.springer.com/computer/mathematics/journal/521 > DOI: 10.1007/s00521-007-0156-0.
    • APA

      Schneider, M. O., & Rosa, J. L. G. (2009). Application and development of biologically plausible neural networks in a multiagent artificial life system. Neural Computing & Applications, 18( 1), 65-75. doi:10.1007/s00521-007-0156-0
    • NLM

      Schneider MO, Rosa JLG. Application and development of biologically plausible neural networks in a multiagent artificial life system [Internet]. Neural Computing & Applications. 2009 ; 18( 1): 65-75.Available from: http://www.springer.com/computer/mathematics/journal/521
    • Vancouver

      Schneider MO, Rosa JLG. Application and development of biologically plausible neural networks in a multiagent artificial life system [Internet]. Neural Computing & Applications. 2009 ; 18( 1): 65-75.Available from: http://www.springer.com/computer/mathematics/journal/521

    Referências citadas na obra
    Bonabeau E, Dorigo M, Theraulaz G (1999) Swarm intelligence: from natural to artificial systems. Oxford University Press, New York
    Dorigo M, Di Caro G (1999) Ant algorithms for discrete optimization. Artif Intell 5:137–172
    Gordon D (1999) Ants at work: how an insect society is organized. Free, New York
    Haykin S (1999) Neural networks: a comprehensive foundation, 2nd edn. Prentice Hall, Englewood Cliffs
    Hölldobler B, Wilson EO (1990) The ants. Harvard University Press, Cambridge
    Johnson S (2001) Emergence: the connected lives of ants, brains, cities and softwares. Scribner, New York
    Klügl F, Oechslein C, Puppe F (2001) Artificial Life Modelle für soziale Insekten. In: Wittmann J, Bernaard L (eds). Simulation in Geo- und Umweltwissenschaften: Workshop Münster. Shaker, Aachen, pp 35–47
    Miramontes O, Solé RV, Goodwin BC (1993) Antichaos in ants: the excitability metaphor at two hierarchical levels. In: Proceedings of the second European conference on artificial life. Brussels, Belgium, p 790
    O’Reilly RC (1996) Biologically plausible error-driven learning using local activation differences: the generalized recirculation algorithm. Neural Comput: 895–938
    O’Reilly RC (1998) Six principles for biologically-based computational models for cortical cogniation. Trends Cognit Sci 2:455–462
    Rosa JLG (2002) A biologically inspired connectionist system for natural language processing. In: Proceedings of the VII Brazilian symposium on neural networks. IEEE Computer Society Press, Recife, pp 243–248
    Schneider MO, Rosa JLG (2002) Neural connect 4—A connectionist approach to the game. In: Proceedings of the VII Brazilian symposium on neural networks. IEEE Computer Society Press, Recife, pp 236–241
    Schneider MO, Rosa JLG (2003) Neural labyrinth robot—finding the best way in a connectionist fashion. In: Anais do XXIII Congresso da Sociedade Brasileira de Computação, Campinas 1, p 151
    Schneider MO, Rosa JLG (2005) BioAnt—biologically plausible computer simulation of an environment with ants. In: Proceedings of the international joint conference on neural networks, Montreal, Canada, pp 1505–1510
    Woolridge M (2003) Introduction to multiagent systems. Wiley, John and Sons Incorporated, London, Bristol