Project Details
Abstract
Intelligent agents are increasingly being used for tasks such as e-commerce autobidding.
Cooperation and defection challenges commonly found in multi-agent
systems make the design and construction of a reliable reputation mechanism an
important research and engineering goal. Here we describe our proposal for an
intelligent agent model that addresses learning issues in terms of self-reputation. The
agents in our proposed model are capable of evaluating their behaviors based on a mix
of public and private interest considerations, and of testing various solutions aimed at
mitigating self-discrepancy and meeting social standards. Our expected results will
indicate promise for integrating a self-reputation mechanism into a self-learning
framework in a manner that encourages the early emergence of social cooperation
among multiple agents and specific cooperation with individual agents.
Project IDs
Project ID:PB10408-5744
External Project ID:MOST104-2221-E182-047
External Project ID:MOST104-2221-E182-047
Status | Finished |
---|---|
Effective start/end date | 01/08/15 → 31/07/16 |
Keywords
- intelligent agent
- e-commerce
- self-reputation
- prisoners' dilemma
- multiagent
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