EPISTEMOLOGICAL FOUNDATIONS OF MACHINE INTELLIGENCE.
Abstract
A conceptual formulation of the Epistemological Foundations of Machine Intelligence is presented which is synthesized from the principles of physical and biological interaction theory on the one hand and the principles of mathematical group theory on the other. This synthesis, representing a fusion of classical ontology and epistemology, is generally called Scientific Epistemology to distinguish it from Classical General Systems theory. The resulting view of knowledge and intelligence is therefore hierarchical, evolutionary, ecological, and structural in character, and consequently exhibits substantial agreement with the latest developments in quantum physics, foundations of mathematics, general systems theory, bio-ecology, psychology, and bionics. The conceptual formulation is implemented by means of a nested sequence of structural Epistemological-Ontological Diagrams which approximate a strong global interaction description. The mathematico-physical structure is generalized from principles of duality and impotence, and the techniques of Lie Algebra and Lie Continuous Group theory. (Author)
Document Details
- Document Type
- Technical Report
- Publication Date
- Nov 11, 1963
- Accession Number
- AD0681147
Entities
People
- A. Wallace