Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Fault Diagnosis Based on Controller Modification Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Learning and Memory Processes in Autonomous Agents Using an Intelligent System of Decision-Making

Authors : Zdzisław Kowalczuk, Michał Czubenko, Wojciech Jędruch

Published in: Advanced and Intelligent Computations in Diagnosis and Control

Publisher: Springer International Publishing

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

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.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter Hybrid Classification of High-Dimensional Biomedical Tumour Datasets
next chapter Solving Highly-Dimensional Multi-Objective Optimization Problems by Means of Genetic Gender
Appendix
Available only for authorised users
Literature
1.
Baron, J.: Thinking and deciding, 4th edn. Cambridge University Press, Cambridge (2008)
2.
3.
Benjamin, D.P., Lonsdale, D., Lyons, D., Patel, S.: Using cognitive semantics to integrate perception and motion in a behavior-based robot. In: ECSIS Symposium on Learning and Adaptive Behaviors for Robotic Systems, pp. 77–82. IEEE (2008)
4.
Berlyne, D.E.: Structure and direction in thinking. Wiley, New York (1965)
5.
Beserra Gomes, R., Ferreira da Silva, B.M., Rocha, L.K.D.M., Aroca, R.V., Velho, L.C.P.R., Gonçalves, L.M.G.: Efficient 3D object recognition using foveated point clouds. Comput. Graph. 37(5), 496–508 (2013)CrossRef
6.
Brachman, R., Levesque, H.: Knowledge representation and reasoning. The Morgan Kaufmann Series in Artificial Intelligence. Morgan Kaufmann, San Francisco (2004)
7.
Campbell, J.I.D.: Handbook of mathematical cognition. Psychology Press, New York (2005)
8.
Caravantes, A., Galán, R.: Generic educational knowledge representation for adaptive and cognitive systems. Educ. Technol. Soci. 14(3), 252–266 (2011)
9.
Cutsuridis, V.: Cognitive models of the perception-action cycle: a view from the brain. In: The 2013 International Joint Conference on Neural Networks, pp. 1–8. IEEE (2013)
10.
11.
How we think. D.C. Heath & Company, New York (1910)
12.
Eysneck, M.W., Keane, M.T.: Cognitive psychology: a student’s handbook, 4th edn. Psychology Press, Hove (2000)
13.
Fuster, J.M.: Upper processing stages of the perception-action cycle. Trends Cogn. Sci. 8(4), 5–143 (2004)CrossRef
14.
15.
Hjørland, B.: Semantics and knowledge organization. In: Cronin, B. (ed.) Annual Review of Information Science and Technology, chap. 8, pp. 367–405. Wiley (2007)
16.
The allure of machinic life: cybernetics, artificial life, and the new AI. A Bradford Book, Chester (2008)
17.
Kant, I.: What does it mean to orient oneself in thinking? Berlinische Monatschrift 8, 304–330 (1786)
18.
Kosslyn, S.M.: Image and brain: the resolution of the imagery debate. A Bradford Book, Chester (1996)
19.
Kowalczuk, Z., Czubenko, M.: Interactive cognitive-behavioural decision making system. In: Rutkowski, L. (ed.) Artifical Intelligence and Soft Computing, Lecture Notes in Artificial Intelligence, vol. 6114 (II), pp. 516–523. Springer, Berlin (2010)
20.
Kowalczuk, Z., Czubenko, M.: Intelligent decision-making system for autonomous robots. Int. J. Appl. Math. Compu. Sci. 21(4), 621–635 (2011)MATHCrossRef
21.
Kowalczuk, Z., Czubenko, M.: Computational model of emotions dedicated to intelligent decision systems (in Polish: xEmotion – Obliczeniowy Model Emocji Dedykowany dla Inteligentnych Systemów Decyzyjnych). Pomiary Automatyka Robotyka 2(17), 60–65 (2013)
22.
Kowalczuk, Z., Czubenko, M.: Cognitive memory for intelligent systems of decision-making, based on human psychology. In: Korbicz, J., Kowal, M. (eds.) Intelligent Systems in Technical and Medical Diagnostics, Advances in Intelligent Systems and Computing, vol. 230, chap. Cognitive, pp. 379–389. Springer, Berlin (2014)
23.
Linhares, A., Chada, D.M.: What is the nature of the mind’s pattern-recognition process? New Ideas Psychol. 31(2), 108–121 (2013)CrossRef
24.
Loftus, G.R.: Evaluating forgetting curves. J. Exp. Psychol. Learn. Mem. Cogn. 2, 397–406 (1985)CrossRef
25.
Martinez, H.P., Bengio, Y., Yannakakis, G.N.: Learning deep physiological models of affect. IEEE Comput. Int. Mag. 8(2), 20–33 (2013)CrossRef
26.
Maruszewski, T.: Cognitive Psychology (in Polish: Psychologia Poznania). Gdańskie Wydawnictwo Psychologiczne, Gdańsk (2001)
27.
McCloskey, M., Macaruso, P.: Representing and using numerical information. Am. Psychol. 50(5), 351–363 (1995)CrossRef
28.
McRae, K., Jones, M.: Semantic memory. In: Reisberg, D. (ed.) The Oxford Handbook of Cognitive Psychology. Oxford University Press, Oxford, New York (2013)
29.
Minsky, M.: A Framework for representing knowledge. In: Winston, P.H. (ed.) The Psychology of Computer Vision. McGraw-Hill, New York (1975)
30.
Mitchell, T.M.: Machine learning. McGraw Hill, New York (2008)
31.
Muhlestein, M.: Counterfactuals, Computation, and consciousness. Cogn. Comput. 5(1), 99–105 (2012)CrossRef
32.
Newell, A., Simon, H.A.: Human problem solving. Prentice-Hall, Englewood Cliffs (1972)
33.
Nęcka, E., Orzechowski, J., Szymura, B.: Cognitive Psychology (in Polish: Psychologia Poznawcza). PWN, Warszawa (2008)
34.
Ormerod, T.: Human cognition and programming. In: Hoc, J.M., Green, T.R.G., Samurçay, R., Gilmore, D.J. (eds.) Psychology of Programming, pp. 63–82. European Association of Cognitive Ergonomics and Academic Press (1990)
35.
Ouyang, X.: Construction of the paradigmatic semantic network based on cognition. In: International Conference on Asian Language Processing, pp. 122–125. IEEE (2010)
36.
Paivio, A.: Mental Representations: A Dual Coding Approach. Oxford University Press, Oxford (1990)
37.
Plato: The Republic. Penguin Books Limited, London (2012)
38.
Russell, S.J., Norvig, P.: Artificial Intelligence: A Modern Approach. Prentice Hall, Upper Saddle River (1995)
39.
Saltzman, E., Pick, H.L.: Modes of Perceiving and Processing Information. Lawrence Erlbaum Associates, Hillsdale (1978)
40.
Schwartz, D.L., Heiser, J.: Spatial representations and imagery in learning. In: Sawyer, R.K. (ed.) The Cambridge Handbook of the Learning Sciences, chap. 17, pp. 283–298. Cambridge University Press, Cambridge (2005)
41.
Standing, L.: Learning 10,000 pictures. Q. J. Exp. Psychol. 25(2), 22–207 (1973)CrossRef
42.
Wu, Q., Miao, C.: Modeling curiosity-related emotions for virtual peer learners. IEEE Comput. Intell. Mag. 8(2), 50–62 (2013)MathSciNetCrossRef
43.
44.
Żurada, J., Barski, M., Jędruch, W.: Artificial Neural Networks (in Polish: Sztuczne Sieci Neuronowe). Wydawnictwo Naukowe PWN, Warszawa (1996)
Metadata
Title
Learning and Memory Processes in Autonomous Agents Using an Intelligent System of Decision-Making
Authors
Zdzisław Kowalczuk
Michał Czubenko
Wojciech Jędruch
Copyright Year
2016
Book
Advanced and Intelligent Computations in Diagnosis and Control

Print ISBN: 978-3-319-23179-2

Electronic ISBN: 978-3-319-23180-8

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-23180-8_22

Premium Partner

    Image Credits