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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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- Accepted or Published Version
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- Copyright (Springer International Publishing Switzerland 2016)
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- Category:
- Conference activity
- Type:
- materiały konferencyjne indeksowane w Web of Science
- Title of issue:
- The 12th International Conference on Diagnostics of Processes and Systems (DPS’2015) strony 1 - 14
- 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, W: The 12th International Conference on Diagnostics of Processes and Systems (DPS’2015), 2016, ,.
- 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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