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Learning to generate combinatorial action sequences utilizing the initial sensitivity of deterministic dynamical systems

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Publication:1886588
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DOI10.1016/J.NEUNET.2004.02.003zbMath1068.68123DBLPjournals/nn/NishimotoT04OpenAlexW2048196323WikidataQ51991734 ScholiaQ51991734MaRDI QIDQ1886588

Jun Tani, Ryu Nishimoto

Publication date: 18 November 2004

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2004.02.003


zbMATH Keywords

LearningActionsDeterministic chaosInitial sensitivity


Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)


Related Items (2)

Predictive Coding for Dynamic Visual Processing: Development of Functional Hierarchy in a Multiple Spatiotemporal Scales RNN Model ⋮ Learning to imitate stochastic time series in a compositional way by chaos




Cites Work

  • Chaotic itinerancy
  • Unnamed Item




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