Research On Knowledge Construction Process Simulation And Optimization Under Human-bot Collaboration In OKC

The online knowledge community(OKC)is an online virtual organization with the characteristics of open collaboration and self-organization,and has become the main platform for knowledge construction and knowledge sharing.With the development of artificial intelligence technology,bots have been widely used in the community.They participate in the knowledge construction of the community by collaborating with people.In the context of online human-bot collaboration,how to find alternative processes to perform the tasks in order to take full advantage of the human-bot synergies is a key issue for organizations.However,the current research lacks how to optimize the existing human-bot collaborative knowledge construction process from the perspective of human-bot complementary enhancement to improve collaboration performance.Therefore,from the perspective of process,considering the complementary advantages of humans and bots,this thesis studies knowledge construction process simulation and optimization under human-bot collaboration in online knowledge communities(OKCs).Firstly,based on the coordination theory and social constructivism theory,this thesis analyzes the specific characteristics of the knowledge construction process elements in OKCs from the theoretical level,and adopts the flow chart method to model the process from two aspects of activity allocation and activity coordination.Then,based on the case analysis of Wikipedia,a typical OKC,this thesis explores the common features of knowledge construction collaboration patterns as implicit coordination mechanisms and the differences in collaboration processes under different quality and complexity contexts.Secondly,based on the design ideas of the virtual design team model,this thesis models the collaborative agents,collaborative activities and collaborative evolution rules respectively,and constructs an agent-based humanbot collaborative computational experimental model in OKCs.Quantitative TIC method and qualitative comparative analysis verifies the validity of the model.Thirdly,based on the constructed computational experimental model,this thesis carries out the simulation and evaluation of knowledge construction process.Through the simulation computational experiments,the influence of the matching degree of activities,the degree of activity function balance and the proportion of human-bot participation on the collaboration performance is found.Finally,based on the PDCA cycle model,the optimization framework of the knowledge construction process is constructed.By analyzing and diagnosing the coordination problems existing in the process,this thesis identifies the process dependencies and the coordination mechanism to solve the problem.From three aspects of activity reorganization,team matching and resource matching,this thesis designs the process optimization plan which is simulated through computational experiment.Based on the experimental results,this thesis compares the collaboration performance before and after the optimization to evaluate the effectiveness of the implementation of the plan,determine the standardized process optimization plan under different process objective settings and provide feasible suggestions for process design and optimization in online knowledge community.Based on the above experimental results,this thesis clarifies the micro characteristics of key elements in the knowledge construction process and the model representation of the process,discovers the common features of knowledge construction patterns under human-bot collaboration in OKCs and the differences of collaborative processes in different contexts,reveals the influence of different process characteristics on knowledge construction performance,and designs the optimization plan of knowledge construction process under selforganizing human-bot collaboration.The research results of this thesis enrich the research and theories related to human-bot collaboration,knowledge construction and organizational processes in OKCs,and provide a new perspective for studying large-scale group collaboration and organizational process optimization in the network environment.Also,this thesis provides the community platform managers with practical implications to formulate collaborative policies and management methods.