Abstract: Blindly copying and mimicking evolutionary processes in animated nature along with well developed mathematical models for them looses its base, the inevitable evolution looses its meaning. Instead the evolution by choice more and more establishes itself and it has much greater perspectives to spread. The experiments of evolution by choice is in an abstract mathematical domain where the models include numerous number of elements, i.e. much too bigger in number than the biological evolutionary models. The paper introduces the idea of evolving-by-choice ontologies, a juxtaposition of evolving ontologies with an evolution by choice algorithm. A principle scheme of evolving-by-choice ontology is introduced and the starting options of the model are presented. In total the fundamental problem for biologically inevitable evolution – prove that the solution space exists – in the case of evolving-by-choice ontologies is replaced by the problem to find the shortest path to the solution space.
Keywords: inevitable evolution, evolution by choice, evolving ontologies, evolving-ontologies state-of-the-art, evolving-by-choice ontologies.
ACM Classification Keywords: C.0 Computer Systems Organization – System architectures, C.4 Performance of Systems – Modeling techniques & Performance attributes, D.2.4 Software/Program Verification - Validation, D.2.8 Metrics – Complexity measures & Performance measures, D.2.9 Management - Life cycle & Productivity, D.2.10 Design – Methodologies, D.4.8 Performance – Modeling and prediction, F.2.2 Nonnumerical Algorithms and Problems – Complexity of proof procedures, G.4 Mathematical Software – Efficiency
EVOLUTION BY CHOICE IN ONTOLOGIES
Stefan Kojnov, Vassil Sgurev