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Social Cooperation in Autonomous Agents to Avoid the Tragedy of the Commons

Author

Listed:
  • Shagun Akarsh

    (Indian Institute of Technology, Department of Computer Science and Engineering, Roorkee, India)

  • Avadh Kishor

    (Indian Institute of Technology, Department of Computer Science and Engineering, Roorkee, India)

  • Rajdeep Niyogi

    (Indian Institute of Technology, Department of Computer Science and Engineering, Roorkee, India)

  • Alfredo Milani

    (University of Perugia, Italy & Hong Kong Baptist University, Hong Kong)

  • Paolo Mengoni

    (University of Perugia, Italy)

Abstract

In this paper, we address the “Tragedy of the Commons” (TOC) problem for shared-resource systems by considering different types of behaviors of agents. On one extreme are self-interested agents while on the other one, agents are concerned about the welfare of the society. Algorithms to capture the different behaviors of the agents with and without interaction among the agents are proposed. An extensive experimental analysis for the different cases has been carried out as well as comparisons of our algorithms with an existing approach. Our study shows that if the agents are willing to sacrifice for some period of time, the sustainability of the society increases considerably.

Suggested Citation

  • Shagun Akarsh & Avadh Kishor & Rajdeep Niyogi & Alfredo Milani & Paolo Mengoni, 2017. "Social Cooperation in Autonomous Agents to Avoid the Tragedy of the Commons," International Journal of Agricultural and Environmental Information Systems (IJAEIS), IGI Global, vol. 8(2), pages 1-19, April.
    • Handle: RePEc:igg:jaeis0:v:8:y:2017:i:2:p:1-19
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    Cited by:

    1. Umberto Bartoccini & Arturo Carpi & Valentina Poggioni & Valentino Santucci, 2019. "Memes Evolution in a Memetic Variant of Particle Swarm Optimization," Mathematics, MDPI, vol. 7(5), pages 1-13, May.

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