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Learning and memory processes in autonomous agents using an intelligent system of decision-making

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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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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