Dynamics properties of knowledge acquisition |
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| Affiliation: | 1. Center for Logic, Language, and Cognition, University of Torino, Italy;2. Computer Science Department, University of Torino, Italy;1. Poznań University of Technology, Institute of Control and Information Engineering, Poznań, Poland;2. Adam Mickiewicz University, Institute of Psychology, Poznań, Poland;1. School of Computer Science, University of Manchester, Manchester M13 9PL, UK;2. Austrian Research Institute for Artificial Intelligence, Vienna A-1010, Austria;3. Institute for Intelligent Systems, University of Memphis, Memphis, TN 38152, USA;1. Dept. of Mathematics, Statistics and Computer Science, College of Science, University of Tehran, Iran;2. Dept. of Computer Engineering and Information Technology, AmirKabir University of Technology, Iran |
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| Abstract: | Repeated counteraction of current knowledge and reality observation generates new knowledge and can be viewed as a dynamic process. When observed objects are not results of human activity, the dynamics results in acquisition of new knowledge, usually as a refinement of the existing one. Otherwise, adjustment between incomplete knowledge and reality can be a result of intentional modification of objects in question, as it happens in design of any artifact. In this case convergence of the process is questionable, for example, it may imply the end of the technical progress. In worst case scenario, the same computable criteria used simultaneously to modify objects and evaluate the result quality causing drift from an established goal and devaluation of acquired knowledge. |
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| Keywords: | Knowledge acquisition Process dynamics Reflexivity, object model Cognitive dissonance Knowledge representation, knowledge model Data model Knowledge evolution |
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