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A Multi-agent Model for Cell Population

  • Fernando Arroyo
  • Victor MitranaEmail author
  • Andrei Păun
  • Mihaela Păun
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 148)

Abstract

An intriguing problem in computer science is the formal description of dynamics in cell populations. We propose here a multi-agent-based model that could be used in this respect. The model proposed in this paper consists of biological entities (cells) as agents and a biochemical environment. Both are represented by multisets of symbols. The environment evolution is regulated by multiset Lindenmayer rules depending on the current state of all agents, while the evolution of each agent, which depends on the environment current state, is defined by means of multiset patterns. We discuss some algorithmic problems related to the dynamics of the proposed multi-agent model: infinite and stationary evolution, environment, and agent reachability.

Keywords

Multiset Multiset L-rule Multiset pattern Cell population Multi-agent system 

Notes

Acknowledgements

Work supported by a grant of the Romanian National Authority for Scientific Research and Innovation, project number POC P-37-257.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Fernando Arroyo
    • 1
  • Victor Mitrana
    • 1
    • 2
    Email author
  • Andrei Păun
    • 2
    • 3
  • Mihaela Păun
    • 2
    • 4
  1. 1.Department of Information SystemsPolytechnic University of MadridMadridSpain
  2. 2.National Institute for Research and Development of Biological SciencesBucharestRomania
  3. 3.Faculty of Mathematics and Computer ScienceUniversity of BucharestBucharestRomania
  4. 4.Faculty of Administration and BusinessUniversity of BucharestBucharestRomania

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