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When Extrinsic Payoffs Meet Intrinsic Expectations

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Advances in Practical Applications of Agents, Multi-Agent Systems, and Cognitive Mimetics. The PAAMS Collection (PAAMS 2023)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 13955))

Abstract

Rational interactions between agents are often confounded due to disparity in their latent, intrinsic motivations. We address this problem by modelling interactions between agents with disparate intrinsic motivations in different kinds of social networks. Agents are modelled with a variegated profile over the following kinds of intrinsic motivations: power, achievement, and affiliation. These agents interact with their one-hop neighbours in the network through the game of Iterated Prisoners’ Dilemma and evolve their intrinsic profiles. A network is considered settled or stable, when each agent’s extrinsic payoff matches its intrinsic expectation. We then address how different network-level parameters affect the network stability. We observe that the distribution of intrinsic profiles in a stable network remains invariant to changes in network-level parameters over networks with the same average degree. Further, a high proportion of affiliation agents, who tend to cooperate, are required for various networks to reach a stable state.

J. Chhabra and K. Sama—These authors contributed equally to this work.

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Authors and Affiliations

  1. International Institute of Information Technology, Bangalore, Bangalore, India

    Janvi Chhabra, Karthik Sama, Jayati Deshmukh & Srinath Srinivasa

Authors
  1. Janvi Chhabra
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  2. Karthik Sama
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  3. Jayati Deshmukh
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  4. Srinath Srinivasa
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Correspondence to Janvi Chhabra .

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Editors and Affiliations

  1. University of Lille, Lille, France

    Philippe Mathieu

  2. UmeĂĄ University, UmeĂĄ, Sweden

    Frank Dignum

  3. Universidade do Minho, Braga, Portugal

    Paulo Novais

  4. University of Salamanca, Salamanca, Spain

    Fernando De la Prieta

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Chhabra, J., Sama, K., Deshmukh, J., Srinivasa, S. (2023). When Extrinsic Payoffs Meet Intrinsic Expectations. In: Mathieu, P., Dignum, F., Novais, P., De la Prieta, F. (eds) Advances in Practical Applications of Agents, Multi-Agent Systems, and Cognitive Mimetics. The PAAMS Collection. PAAMS 2023. Lecture Notes in Computer Science(), vol 13955. Springer, Cham. https://doi.org/10.1007/978-3-031-37616-0_4

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  • DOI: https://doi.org/10.1007/978-3-031-37616-0_4

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  • Print ISBN: 978-3-031-37615-3

  • Online ISBN: 978-3-031-37616-0

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