William S Chao

Knowledge Representation 2.0 William S Chao

Knowledge representation incorporates findings from psychology about how human beings solve problems and represent knowledge in order to achieve formalisms that will make complex systems easier to construct and build. Knowledge representation also incorporates findings from logic to automate various kinds of reasoning, such as the application of rules or the relations of sets and subsets. A system has been formalized, by knowledge representation 1.0, hopefully to be an integrated whole, embodied in its assembled components, their interactions with each other and the environment. Since systems structure and systems behavior are the two most prominent views of a system, integrating the systems structure and systems behavior apparently is the best way to achieve a truly integrated whole of a system. Since knowledge representation 1.0 does not describe and represent the integration of systems structure and systems behavior, very likely it will never be able to actually form an integrated whole of a system. Structure-behavior coalescence (SBC) provides an elegant way to integrate the systems structure and systems behavior, and hence achieves a truly integrated whole, of a system. A truly integrated whole sets a path to achieve the desired knowledge representation. SBC facilitates an integrated whole. Therefore, we conclude that knowledge representation 2.0 using the SBC approach, which contains three fundamental diagrams: a) framework diagram, b) component operation diagram, and c) interaction flow diagram, is highly adequate in describing and representing a system.