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A Strategy to Face Complexity: The Development of Chemical Artificial Intelligence

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Advances in Artificial Life, Evolutionary Computation, and Systems Chemistry (WIVACE 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 708))

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Abstract

Nowadays, science is spurred to win the Complexity Challenges. There are challenges regarding Natural Complexity. But there are also challenges regarding Computational Complexity. A strategy to face both of them consists in developing Chemical Artificial Intelligence. Its development requires an analysis of the Human Nervous System and Human Intelligence at three levels; at the (i) Computational, (ii) Algorithmic, and (iii) Implementation levels, respectively. The effectiveness of this approach is demonstrated by showing three ways for implementing Fuzzy logic at the molecular level.

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Author information

Authors and Affiliations

  1. Department of Chemistry, Biology and Biotechnology, University of Perugia, Perugia, Italy

    Pier Luigi Gentili

Authors
  1. Pier Luigi Gentili
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Correspondence to Pier Luigi Gentili .

Editor information

Editors and Affiliations

  1. Chemistry and Biology, University of Salerno, Fisciano, Italy

    Federico Rossi

  2. Department of Pharmacy, University of Salerno, Fisciano, Italy

    Stefano Piotto

  3. Department of Industrial Engineering, University of Salerno, Fisciano, Italy

    Simona Concilio

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Gentili, P.L. (2017). A Strategy to Face Complexity: The Development of Chemical Artificial Intelligence. In: Rossi, F., Piotto, S., Concilio, S. (eds) Advances in Artificial Life, Evolutionary Computation, and Systems Chemistry. WIVACE 2016. Communications in Computer and Information Science, vol 708. Springer, Cham. https://doi.org/10.1007/978-3-319-57711-1_13

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  • DOI: https://doi.org/10.1007/978-3-319-57711-1_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-57710-4

  • Online ISBN: 978-3-319-57711-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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