Game Learning Mechanism Of Knowledge Sharing In Collaborative Information Seeking&Retrieval

Collaborative information seeking and retrieval(CIS&R),as a hot research topic in library and information science and computer science, is a knowledge sharing process in essence. However, fewer researchers regarded the knowledge sharing in CIS&R as a core or explicit problem, and most researches viewed it as a supplementary factor when discussing its behaviors, influence factors and constructing models. This paper focused on the dynamic interaction of knowledge sharing among users in CIS&R, attempted to construct evolutionary game model under the influence of multiple factors, and furthermore discussed learning evolutionary mechanism of competition and collaboration among users.Based on literature researches, this paper designed a comprehensive index system of knowledge sharing degree in CIS&R. After analyzing the mechanism of two-player simple game learning, the qualitative and quantitative analysis of the influence factors of knowledge sharing, and the discriminant function of knowledge potential, an evolutionary game model was constructed, which reflected the knowledge structure difference of users,;By constructing an evolution system of replicated dynamic equation, the interactive processes of knowledge sharing, knowledge learning, and knowledge transfering among group users were observed individually from three stages, the stability of the group users’ decision sets were discussed by MATLAB simulation to, and some research hypotheses were verified.The main contents and results are listed as follows:(1) Designed a comprehensive index system of knowledge sharing degree in CIS&R. The influence factors of knowledge sharing were extracted on the basis of the extensive literature research, and the main indicators were depicted in three demensions, which were the decision-makers themselves, the interation among decision-makers, and the interaction between decision-makers and the environment. The relevance between dependent variables and the degree of knowledge sharing were analyzed by the quantitative analysis of influence factorse, and were presented by trend figures of MATLAB simulation.(2) Constructed a model of two-player game learning to explore the users’ information behavior mechanism, and solve the game learning model respectively under the context of retrieval process sharing and the retrieval result sharing. The results have showed that learning is the preferred strategy for players, sharing might happen under some certain condition of incentives,and the players have the trend gradually towards collaborative learning game and reach the balance between “sharing” and “learning” under certain incentive mechanisms or constraint conditions.(3) Constructed and evolutionary game model of knowledge sharing in CIS&R under the context of group decision making. Taking the discrimination of knowledge potential as the threshold which reflected differences of knowledge structure among users, some evolutionary game models were constructed,which provided into three stages,repectively the knowledge sharing among higher potential group, the knowledge learning among lower potential group, and knowledge transfering between higher potential group and lower potential one., Based on the influence factors of Knowledge Sharing, payoffs matrix was prensented, a replicated dynamic equation among groups was constructed, and the evolutionary trends of the probabilities of knowledge sharing and knowledge learning are given by MATLAB simulation., The stability of the group decision-making set was verifieied, three evolutionary game models have converged on(sharing, sharing),(learning, learning),(sharing, learning), and users finally had the tendency to collaborate after several games in CIS&R.(4) Verified the direction of knowledge flow among group users in CIS&R. Based on the above evolutionary game models of knowledge transferring, the increment of group users’ knowledge structure was discussedby MATLAB simulation and iterative analysis.The results have showed that there are knowledge transferring among users in every collaborative information seeking and retrieval, the users’ knowledge structure has been improvedin the dynamic process of knowledge transferring,and the group users’ knowledge flow has the trend from the higher potential to the lower one, which is the significance of knowledge sharing in CIS&R.