Modeling Based On Bounded Rationality Hypothesis And Its Application In Designing Of Fair Data Exchange Protocol

The rational exchange protocol solves the contradiction of fairness and efficiency in the traditional fair exchange protocol by introducing ?rational participants? in game theory,and realizes the optimal compromise between fairness and efficiency.However,there are still some problems in rational exchange protocol:(1)The existing rational exchange protocols are based on fully rational subject assumption,which is idealization-over and deviates from reality.However,most of the decision-making subjects in reality only have bounded rationality.And under this assumption,rational exchange protocols cannot effectively constrain the behavior of participants deviating from the agreement that results from lack of rationality.(2)The existing rational exchange protocols are all based on game analysis to show whether the equilibrium of the protocol is consistent with the expectation,that is,whether there is "consistency".But that the behavior of the participants is unpredictable under the assumption of limited rationality.The game analysis method is no longer applicable and so can only be analyzed from the point of view of simulation.However,there is still a lack of a set of finite rational modeling and simulation theory which can be used to verify whether there has the "consistency" in fair exchange protocols.In view of above,this paper carries out the following research:(1)Under the framework of game theory,a set of theoretical system for bounded rationality description,model and simulation is established by introducing satisfied decision-making idea.Compared with the similar literature,the theory system of bounded rationality established in this thesis is more systematic.In addition,the system has the advantages of theoretical foundation,wide application range and favorable observation of the learning process.And it can be used to verify whether there has the consistency in finite rational exchange protocol.(2)we define the bounded rational fairness by modifying it properly,and firstly design a bounded rational fair data exchange protocol based on the bounded rationality.The simulation results show that the protocol has "consistency".Meanwhile,the protocol solves the problem that the hypothesis of the subject deviates from the reality in the rational exchange protocol.Compared with the similar literature,the bounded rational fair data exchange protocol has a broader application scenario,and its security is effectively proved.And it's fair under non-cooperative attacks.But to make the protocol fault-tolerant,a certain degree of efficiency has been sacrificed(The round complexity of a rational exchange protocol is,but the round complexity of the bounded rational fair data exchange protocol is 7),where is the maximum number of executions of the protocol and 7)is the maximum number of interactions the protocol performs once).(3)A bounded rationality real estate transaction protocol based on real estate transaction scenarios is designed.Then using the bounded rationality automaton model proposed in this thesis,we model and analyze the bounded rationality real estate transaction protocol.And based on simulation algorithm designed in this paper,we do simulation of bargaining in bounded rationality real estate transaction protocol on the Jade-Repast platform.The experimental results once again show that the finite rationality theory proposed in this paper can be used to describe the finite rationality characteristics of the exchange agent and verify that the protocol is "conformance".