Computational Mechanism Design

Computational Mechanism Design
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Computational Mechanism Design focuses on creating incentive-compatible protocols for systems with self-interested agents. The goal is to design mechanisms that encourage truthful behavior and achieve optimal solutions despite individual agents' self-interest. Resource allocation problems, distributed approaches, and references to relevant works in the field are discussed.

  • Mechanism Design
  • Self-Interested Agents
  • Incentive-Compatible Protocols
  • Resource Allocation
  • Distributed Approaches

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  1. Computational Mechanism Design Kia Babashahi Ashtiani Master of Computer science

  2. Computational Mechanism Design The internet is full of users and computational devices that are self interested. These agents have private information and goals. The goal is to design incentive-compatible protocols, for our systems in which we can compute optimal system wide solutions despite the self interest of individual agents

  3. Computational Mechanism Design Mechanism design seeks to define the rules of interaction between selfish and rational agents in order to attain an objective not necessarily shared by all agents. Agents are selfish so each agent may try to manipulate the mechanism by providing false information in order to achieve a better outcome. A good mechanism is immune to such manipulations and encourages the selfish agents to behave truthfully or as the mechanism designer expects.

  4. Resource allocation Problem Given a set of resources and a set of agents which have preferences on them, we wish to allocate all resources to agents and Maximize an objective. We are using a distributed approach towards the problem meaning that Agents make local negotiations with each other and there is no omniscient central entity. In social networks there are communication limitations like Facebook: limited amount of friends. Each agent has only partial information about the resource allocation at a time.

  5. Refrences Anthoine Nongaillard,2009. An Agent based Approach for Distributed Resource Allocation David Christopher Parkes,2001, ITERATIVE COMBINATORIAL AUCTIONS: ACHIEVING ECONOMIC AND COMPUTATIONAL EFFICIENCY F., Asselin, B., Jaumard, A., Nongaillard , 2006 A Technique for Large Automated Mechanism Design Problems, IEE

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