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Punishment Normative Systems

Feghhi, Saman | 2012

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 42775 (02)
  4. University: Sharif University of Technology
  5. Department: Mathematical Sciences
  6. Advisor(s): Ramezanian, Rasoul
  7. Abstract:
  8. In real life, we can not always expect agents and authorities to have the same desires. Also when it comes to conflicts, agents always tend to break the authorities’ norms to follow their own strategies. Hence we can not expect strict norms to model an actual real life situation.In this article we introduce punishment normative systems, based on multi-agent Marokov chain processes (MMDPs). We try to extend the punishment idea to be also applicable on long-run and infinite strategies. We consider a version of the multi-agent model that is widely used in different situations and then provide an algorithm to find a fair normative system that distributes obligations equally on the agents, while still maximizes the social outcome of the system.
  9. Keywords:
  10. Markov Decision Making ; Normative Systems ; Punishment and Reward ; Policies ; Multi-Agent Markov Chain Processes (MMDPs)

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