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- W2351829364 abstract "A growing number of conflicts are seriously restricting the healthy and orderly development of our society and economy.Negotiation is an effective means to solve differences and disputes among people in a society.The online negotiation is indispensable to the success of electronic commerce.However,modeling and evaluating negotiation is very challenging because many problems in negotiations are uncertain and many important factors need to be considered.According to the characteristics and requirements of automatic negotiations,this paper applies the Markov Chain Method( MCD)to speculate the offers of buyer in order to improve scientific and rationality of each offer in an auto-negotiation model.In addition,MCD method can enhance the efficiency and success of negotiations because the method can reveal the future development trend using state transition probability.Moreover,this method can reflect the degree of influence of all random factors and inner connections between different states based on the change of transition probability.Negotiations conditions are constantly adjusted along with the negotiations process.The changes of attribute values in a concrete negotiation process are only related to recent negotiation states rather than the past states.Therefore,negotiations can be approximately modelled as a Markov Chain( MC).Moreover,MC is applied to predict the change of negotiation attribute values.Negotiation data mainly come from each side in negotiations and the negotiation predictions are based on the previous negotiation results.The calculation process varies according to states transfer cycle changes.Thus,each negotiation cycle can have certain credibility as long as the initial transfer matrix of data is accurate.In order to select the best negotiation decision,this paper combines MCD and Improved Genetic Algorithm( IGA) to achieve global optimization and provide a reference for all parties involved in making scientific decision.Our automatic negotiation model selects the negotiation tactic that negotiation decisions are influenced by all negotiation parties' behaviors.The negotiation parties can monitor and analyze each other' s behaviors and decision making processes,as well as formulate negotiation strategies.Using our proposed negotiation model can not only maximize interests for both parties and increase the success chance of negotiation,but also effectively avoid negotiation fraud.Finally,simulation test shows that applying Markov chain method and IGA in multi-issue auto-negotiation is effective and can assist each party in the negotiation process." @default.
- W2351829364 created "2016-06-24" @default.
- W2351829364 creator A5076055698 @default.
- W2351829364 date "2014-01-01" @default.
- W2351829364 modified "2023-09-23" @default.
- W2351829364 title "The Model of Agent-oriented Multi-issue Automated Negotiation Based on Markov Chain Method" @default.
- W2351829364 hasPublicationYear "2014" @default.
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