Rches Of Modeling And Simulation Of Bounded Rationality And Their Applications In Designing Secret Sharing Protocol

Bounded rationality assumption is used to describe the agents’ behaviors patterns. It is close to the person’s behaviors patterns in reality by excluding some ideal conditions. Therefore the conclusions drawn by the modeling and simulation under the bounded rationality assumption as well as their applications are more instructive. But, as one of the main behaviors assumption in the cuttingedge research, the theory of bounded rationality assumption still has a lot of flaws. Nowadays, it is only at the stage of concept studies. At the very beginning, standing on different focuses, bounded rationality assumption shows different characteristics in different practical areas and lacks of a complete and unified theoretical system. Secondly, although many methods in bounded rationality modeling and simulation studies have existed yet, because of the lax theoretical system of its own, not all the features of bounded rationality agent could be reflected completely with these methods, especially for the description of the bounded rationality standard. So we have done some researches as below:1. We inherited Game Theory’s ideology and built a bounded rationality game model via expanding the imperfect information game model in the Game Theory framework. Due to the self-completeness of the Game Theory, the bounded rationality model and theory expanded from the Game Theory have better continuities, which could eliminate the knowledge faults and describe the general issues universally.2. We designed and achieved two dynamic algorithms by leading myopic dynamic into replicator dynamic and best response dynamic respectively in order to realize the actions process of bounded rationality agent. On account of the concise core ideas and scalability of myopic dynamic algorithm, these algorithms are able to satisfy the needs of describing the bounded rational agent’s behavior characteristics, and express the different degree of rational.3. Combining with the characters of present network, we apply the methods of bounded rationality modeling and simulation to design secret sharing protocol. We analyzed what the necessary conditions for successfully performing secret sharing protocol under the bounded rationality assumption, and design a bounded rational secret sharing protocol through improving, expanding an existing rationality secret sharing protocols. This bounded rationality secret sharing protocol have a consistent result with the game under the rationality assumption and provide mechanisms for the protocol participants evolving and approaching complete rationality.4. Using the platform of Swarm, the simulation program of bounded rationality is realized. It also can be seen from the results of the simulation that the dynamic algorithms of simulation and the motivate mechanism in secret sharing protocol are effective.