ABSTRACT

This chapter provides several approaches to knowledge representation and processing. An appropriate representation of knowledge, including intuition and heuristic knowledge, is central to the development of machine intelligence and of knowledge-based systems. Production systems or rule-based systems are commonly used in knowledge representation and processing associated with artificial intelligence. In logic knowledge is represented by statements called propositions, which may be joined together using connectives. Frames are commonly used in AI applications for knowledge representation and processing. A frame is a data structure developed to represent expectational knowledge, i.e., knowledge of what to expect when entering a given situation for the first time. Semantic networks are used in the graphical representation and processing of knowledge. Here, knowledge objects are represented in a network, and relationships are represented by arcs or lines which are directed, linking the nodes.