The theory of qualitative-to-quantitative metasynthesis has been proposed as a breakthrough and effective methodology for the understanding and problem solving of Open Complex Giant Systems(OCGS). Hall for Workshop of Metasynthetic Engineering (HWME) offers a practical engineering platform for complex problem solving following the theory of qualitative-to-quantitative metasynthesis. Its essential is to unite wisdom of experts，intelligence of computers，all sorts of data and information，and to unite theories of different disciplines and knowledge of human being to build a man-computer cooperated intelligent system for complex problems solving. The solving on complex problems is a knowledge intensive task. In the light of the theory of metasyntheis, this thesis is devoted to discuss several important theoretical and practical problems, which are closely related to knowledge organizing in HWME. Firstly, system function features of knowledge producing and servicing in HWME was discussed. On the basis of the multi-dimensional attribute of knowledge, we analysed organizational learning process which promote the conversion from experts' experience knowledge to collective explicit knowledge. We proposed the multilevel nature of knowledge organization in HWME. Secondly, we discussed dynamic and open knowledge conversion process for complex problem solving based on the theory of OCGS. Two typical models of knowledge creation, which come from the prospective of business management and information system respectively, were introduced in detail and reviewed for their characteristics and deficiencies. We proposed the model of dynamic knowledge conversion process for complex problem solving by applying the achievements of these models of knowledge creation. Then we proposed a basic process of metasynthetic discussion in consideration of knowledge management. Thirdly, issue of modeling and simulation for complex systems is discussed from the view of metasynthesis. We argued that agent-based modeling technique is suitable for knowledge integration of complex problem solving in HWME. By comparison of several main common platforms, we chose Repast Simphony as environment of agent-based modeling and simulation. In Repast Simphony, collaborative modeling framework is convenient for knowledge cooperation and exchange between experts, and agent meta model and its structures offer support for modeling integration of pattern knowledge from different fields. Take example...
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