| With the development of Knowledge-Economy and information technology, the new organization——knowledge-based enterprise which is based on knowledge and consists of multi-field experts came into being. Facing of intensive competition, knowledge-based enterprise differs from tradition enterprise in main characters, operation system, and etc. In it, knowledge is one of the main factors in building the core competence, and the optimal allocation of knowledge resource becomes the key process in realizing the organization's goal.Based on the knowledge-based enterprise organism model, this paper mainly studies three issues. They are, (1) research of the knowledge sharing stimulation system; (2) analysis of the tactics in optimal allocation of knowledge; (3) research of the method of optimal allocation of knowledge. In the first one, the knowledge-sharing stimulation system among intelligent units is emphatically studied by using game theory. There are three main conclusions: (1) balancing the profit and the risk in knowledge sharing; (2) forming the honest enterprise air; (3) raising the confidence among the intelligent units. Then, as an organism, knowledge-based enterprise should make its operation system obey the common developing rules of organism. Therefore, we study the tactics in optimal allocation of knowledge on the dependence of the self-organize theory and the theory of enterprise lifecycle. In the last one, modeling tool "Multi-Agent" and emluator "Swarm" are used to compare two different methods of optimal allocation of knowledge resource. The two methods are "self-organize" and "center-control", and they both have advantages and disadvantages in different situations. When the organization is lacking in resource in a range, the method "self-organize" is better than the method "center-control". But when the shortage goes beyond a lever, "self-organize" may lead to the enterprise's death. Furthermore, the output of "self-organize" is usually higher, but varies greater as well.
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