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Maximizing Expected Impact in an Agent Reputation Network

2018

  • Authors:
    Gavin Rens , Nayak, A , Tommie Meyer

    Publication date:
    2018

    Institution:
    CSIR Meraka Institute, UCT

    Output type:
    Conference proceedings

    Springer

    Abstract:

    We propose a new framework for reasoning about the reputation of multiple agents, based on the partially observable Markov decision process (POMDP). It is general enough for the specification of a variety of stochastic multi-agent system (MAS) domains involving the impact of agents on each other’s reputations. Assuming that an agent must maintain a good enough reputation to survive in the system, a method for an agent to select optimal actions is developed.

    Proof of peer-review from publisher: