An intelligent negotiator agent design for bilateral contracts of electrical energy

作者：

Highlights：

• An intelligent agent is proposed to negotiate for bilateral contracts.

• The Stackelberg game is used to match the seller (load) and buyer (generator) agents.

• A limited time is given to each pairs to negotiate and make an agreement.

• The intelligent agent uses a Fuzzy SARSA learning method for the negotiation process.

• Appropriate definitions of states & rewards play key roles in the learning process.

摘要

•An intelligent agent is proposed to negotiate for bilateral contracts.•The Stackelberg game is used to match the seller (load) and buyer (generator) agents.•A limited time is given to each pairs to negotiate and make an agreement.•The intelligent agent uses a Fuzzy SARSA learning method for the negotiation process.•Appropriate definitions of states & rewards play key roles in the learning process.

论文关键词：Bilateral contracts,Negotiation,Game theory,Reinforcement learning,Fuzzy SARSA learning

论文评审过程：Available online 31 December 2013.

论文官网地址：https://doi.org/10.1016/j.eswa.2013.12.034