For most All applications, the choice of representation becomes crucial for the states of reasoning and knowledge of intelligent agents because the representational primitives and the system for their combination effectively limit what such systems ca...
For most All applications, the choice of representation becomes crucial for the states of reasoning and knowledge of intelligent agents because the representational primitives and the system for their combination effectively limit what such systems can perceive, know, or understand.
This paper describes a unified approach to geometric modeling based on mathematics of parametric polynomial functions and a building-block approach to geometric knowledge representation based on the semantic network method.
Such a unified scheme for geometric knowledge representation and computation provides a natural base for an expert system which deals with geometric modeling and geometric knowledge processing of considerable versatility and robustness.