Fundamental Informatics and its Applications to Hyper Brain Computers with Learning and Thinking Functions Based on Conceptual Memory Structure

Abstract

Since global information infrastructures are being developed, diversified and sophisticated requirements are given to a wide variety of multi lingual information. Hence, semantic understanding is inevitable for advanced functions e.g. analogical reasoning, induction, abduction for problem solving and decision support. Semantic understanding is feasible by using self-organized semantic relationships among concepts by constructing conceptual structures carrying various and rich semantic relationships i.e. the learning function. Then thinking functions become feasible and hyper brain computers can be implemented. These advanced functions are based on analyses information properties and information structures corresponding to semantic relationships among many kinds of concept which are represented by terms and other representation media. Methodology of these analyses, discovered principles and resultant theories are the main components of fundamental theory of information.