An intelligent negotiator agent design for bilateral contracts of electrical energy
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.
negotiation bilateral contracts fuzzy sarsa learning game theory reinforcement learning