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Italian Workshop on Artificial Life and Evolutionary Computation

WIVACE 2021: Artificial Life and Evolutionary Computation pp 97–100Cite as

Two Possible AI-Related Paths for Bottom-Up Synthetic Cell Research

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Part of the Communications in Computer and Information Science book series (CCIS,volume 1722)

Abstract

Advancements in bottom-up synthetic biology (i.e., constructing synthetic cells from scratch) pave the way to new and yet unexplored directions, like: (i) the exploration of semantic aspects of chemical information processing, and (ii) the potential reciprocal inspiration that comes from AI methods and systemic (bio)chemical computation.

Keywords

  • AI
  • Chemical intelligence
  • Embodied AI
  • Semantic information
  • Synthetic biology
  • Synthetic cells

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Notes

  1. 1.

    We refer to scenarios whereby properly built SCs act as smart nanomachine for the production of therapeutics via chemical synthesis, inside a biological body. Thanks to their artificially built cognitive traits, SCs could recognize and interact with natural cells via communicative operations. Their entire behavior would result intelligent, due to the capacity of correctly interpreting their surroundings.

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Acknowledgements

I am grateful to Prof. Maurizio Magarini (Politecnico di Milano, Milan, Italy) and Prof. Luisa Damiano (IULM, Milan, Italy) for useful discussions.

Author information

Authors and Affiliations

  1. University of Salento, Lecce, Italy

    Pasquale Stano

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  1. Pasquale Stano
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Correspondence to Pasquale Stano .

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Editors and Affiliations

  1. Zurich University of Applied Sciences, Winterthur, Switzerland

    Johannes Josef Schneider

  2. Zurich University of Applied Sciences, Winterthur, Switzerland

    Mathias Sebastian Weyland

  3. Zurich University of Applied Sciences, Winterthur, Switzerland

    Dandolo Flumini

  4. Zurich University of Applied Sciences, Winterthur, Switzerland

    Rudolf Marcel Füchslin

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Stano, P. (2022). Two Possible AI-Related Paths for Bottom-Up Synthetic Cell Research. In: Schneider, J.J., Weyland, M.S., Flumini, D., Füchslin, R.M. (eds) Artificial Life and Evolutionary Computation. WIVACE 2021. Communications in Computer and Information Science, vol 1722. Springer, Cham. https://doi.org/10.1007/978-3-031-23929-8_9

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  • DOI: https://doi.org/10.1007/978-3-031-23929-8_9

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