University of Cambridge > Talks.cam > CoSBi Computational and Systems Biology Series > Complexity and Robustness in Colonies of Agents: A Formal Languages and a Game Theory Approach

Complexity and Robustness in Colonies of Agents: A Formal Languages and a Game Theory Approach

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Abstract: Inspired by the intracellular and intercellular mechanisms in biological tissues, a colony of agents is defined as a population of “similar” agents, embedded in a shared environment, that can interact by means of well-specified rules. Complex and coherent behaviors are obtained by allowing, programming and controlling the interactions of the agents. We present two abstractions for these systems: (i) based on formal languages theory , where agents and environment are multisets, and (ii) where agents are players of a game and the environment is specified in terms of graphs. We show how complexity and robustness can be analyzed and we propose applications to tissue generation and tumor formation.

Biography: Matteo Cavaliere completed his PhD in Computer Science, Logic and Artificial Intelligence at the University of Seville (Spain) in 2006. He has published papers in international journals and conferences in the area of computer science and natural computing (Theoretical Computer Science, Fundamenta Informaticae, International Journal of Foundations of Computer Science, Natural Computing, DNA Computing, etc.). Matteo joined CoSBi in January 2006.

This talk is part of the CoSBi Computational and Systems Biology Series series.

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