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Abstract
This paper analyzes functions and structures of the memory that is an indispensable part of an Intelligent System of Decision-making (ISD), developed as a universal engine for autonomous robotics. A simplified way of processing and coding information in human cognitive processes is modelled and adopted for the use in autonomous systems. Based on such a knowledge structure, an artificial model of reality representation and a model of human memory (using, in particular, the concept of Long-Term Memory) are discussed. Finally, the paper presents a way of rearranging the system memory and modelling the processes of learning.
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Keywords
Details
- Category:
- Monographic publication
- Type:
- rozdział, artykuł w książce - dziele zbiorowym /podręczniku w języku o zasięgu międzynarodowym
- Title of issue:
- Advanced and Intelligent Computations in Diagnosis and Control strony 301 - 315
- ISSN:
- 2194-5357
- Language:
- English
- Publication year:
- 2016
- Bibliographic description:
- Kowalczuk Z., Czubenko M., Jędruch W.: Learning and memory processes in autonomous agents using an intelligent system of decision-making// Advanced and Intelligent Computations in Diagnosis and Control/ ed. Z. Kowalczuk Cham – Heidelberg – New York – Dordrecht – London : Springer IP Switzerland, 2016, s.301-315
- DOI:
- Digital Object Identifier (open in new tab) 10.1007/978-3-319-23180-8_22
- Verified by:
- Gdańsk University of Technology
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