Emotions Embodied in the SVC of an Autonomous Driver System - Publication - Bridge of Knowledge

Search

Emotions Embodied in the SVC of an Autonomous Driver System

Abstract

A concept of embodied intelligence (EI) is considered. None of such implementations can be fully identified with artificial intelligence. Projects that dare to approach AI and EI should be based on both the AI concepts (symbolic and sub-symbolic), in solving real problems of perception and decision-making. Therefore, the EI, in this paper, is understood as a methodology that uses all available resources and algorithms from the analytic and synthetic approaches, in order to implement an intelligent and autonomous agent.

Citations

  • 1 1

    CrossRef

  • 0

    Web of Science

  • 9

    Scopus

Cite as

Full text

download paper
downloaded 22 times
Publication version
Submitted Version
License
Copyright (2017, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.)

Keywords

Details

Category:
Articles
Type:
publikacja w in. zagranicznym czasopiśmie naukowym (tylko język obcy)
Published in:
IFAC-PapersOnLine no. 50, edition 1, pages 3744 - 3749,
ISSN: 2405-8963
Title of issue:
IFAC-PapersOnLine strony 3744 - 3749
ISSN:
2405-8963
Language:
English
Publication year:
2017
Bibliographic description:
Kowalczuk Z., Czubenko M.. Emotions Embodied in the SVC of an Autonomous Driver System. IFAC-PapersOnLine, 2017, Vol. 50, iss. 1, s.3744-3749
DOI:
Digital Object Identifier (open in new tab) 10.1016/j.ifacol.2017.08.573
Bibliography: test
  1. Anderson, M.L. (2003). Embodied cognition: A field guide. Artificial Intelligence, 149(1), 91-130. open in new tab
  2. Arkin, R.C. (1998). Behavior-Based Robotics. MIT Press. Brooks, R.A. (1991). Intelligence without representation. Artificial Intelligence, 47(1-3), 139-159.
  3. Czubenko, M., Kowalczuk, Z., and Ordys, A. (2015). Au- tonomous driver based on intelligent system of decision- making. Cognit. Computation, 7(5), 569-581. open in new tab
  4. Esau, N., Kleinjohann, B., Kleinjohann, L., and Stichling, D. (2003). Mexi: Machine with emotionally extended intelligence. In Hybrid and Intelligent Systems, 961-970.
  5. Flemmer, R.C. (2010). A scheme for an embodied artificial intelligence. In 2009 4th Int. Conf. on Autonomous Robots and Agents, 1-9. IEEE. open in new tab
  6. Franklin, S., Madl, T., D'Mello, S., and Snaider, J. (2014). LIDA: A systems-level architecture for cognition, emo- tion, and learning. IEEE Transactions on Autonomous Mental Development, 6(1), 19-41. open in new tab
  7. Korecko, S., Herich, T., and Sobota, B. (2014). JBdiEmo -OCC model based emotional engine for Jadex BDI agent system. In 12th Int. Symp. on Applied Machine Intelligence and Informatics, 299-304. IEEE, Herl'any. open in new tab
  8. Kowalczuk, Z. and Czubenko, M. (2010a). Dictobot -an autonomous agent with the ability to communicate. In ZN WETI, 87-92. GUT, Gdansk. open in new tab
  9. Kowalczuk, Z. and Czubenko, M. (2010b). Interactive cognitive-behavioural decision making system. In Artif- ical Intelligence and Soft Computing, volume 6114 (II) of LNAI, 516-523. Springer-Verlag, Berlin. open in new tab
  10. Kowalczuk, Z. and Czubenko, M. (2010c). Model of human psychology for controlling autonomous robots. In 15th IC on Methods & Models in Autom. & Robotics, 31-36. open in new tab
  11. Kowalczuk, Z. and Czubenko, M. (2011). Intelligent decision-making system for autonomous robots. I. J. of Applied Math. and Computer Science, 21(4), 621-635. open in new tab
  12. Kowalczuk, Z. and Czubenko, M. (2013). Xemotion - Computational model of emotions dedicated for an intel- ligent system of decision-making (in Polish). Pomiary, Automatyka, Robotyka, 2(17), 60-65. open in new tab
  13. Kowalczuk, Z. and Czubenko, M. (2014). Cognitive mem- ory for intelligent systems of decision-making, based on human psychology. In Intelligent Systems in Technical and Medical Diagnostics, volume 230 of AISC, 379-389. Springer, Berlin -Heidelberg. open in new tab
  14. Kowalczuk, Z. and Czubenko, M. (2016). Computational approaches to modeling artificial emotion -An overview of the proposed solutions. Frontiers in Robotics and AI, 3(21), 1-12. open in new tab
  15. Kowalczuk, Z. and Czubenko, M. (2017a). Embodying intelligence in autonomous and robotic systems with the use of cognitive psychology and motivation theo- ries. In Studies in Computational Intelligence, 101-118. Springer, Berlin -New York.
  16. Kowalczuk, Z. and Czubenko, M. (2017b). Interpreta- tion and Modeling of Emotions Managing Autonomous Robots, based on the Paradigm of Scheduling Variable Control. IEEE TR, 1-16. (submitted for publication). open in new tab
  17. Kowalczuk, Z., Czubenko, M., and Jȩdruch, W. (2016). Learning processes in autonomous agents using an intel- ligent system of decision-making. In Advanced and Intel- ligent Computations in Diagnosis and Control, number 386 in AISC, 301-315. Springer, New York. open in new tab
  18. Laird, J. (2012). The Soar Cognitive Architecture. MIT. Lazarus, R.S. (1991). Emotion and Adaptation. Oxford University Press, New York. open in new tab
  19. Maslow, A. (1968). Toward a Psychology of Being. Van Nostrand Reinhold, New York, 2 edition.
  20. Metta, G., Natale, L., Nori, F., and Sandini, G. (2011). The Icub project: An open source platform for research in embodied cognition. In IEEE Workshop on Advanced Robotics and its Social Impacts, 24-26. Half-Moon Bay. open in new tab
  21. Miwa, H., Itoh, K., Ito, D., Takanobu, H., and Takanishi, A. (2003). Introduction of the need model for humanoid robots to generate active behavior. In IC on Intelligent Robots and Systems, volume 2, 1400-1406. open in new tab
  22. Newell, A. and Simon, H.A. (1972). Human Problem Solving. Prentice-Hall, Englewood Cliffs.
  23. Novak, E. (2014). Toward a mathematical model of motivation, volition, and performance. Computers & Education, 74, 73-80. open in new tab
  24. Oatley, K., Keltner, D., and Jenkins, J. (2012). Under- standing Emotions. Blackwell Publishing, 2nd edition.
  25. Pickering, A. (2011). The Cybernetic Brain. The Univer- sity of Chicago Press.
  26. Plutchik, R. (2001). The nature of emotions. American Scientist, 89, 344. open in new tab
  27. Starzyk, J. (2008). Motivation in embodied intelligence. In M. Zemliak (ed.), Frontiers in Robotics, Automation and Control, 83-110.
  28. Sun, R. and Helie, S. (2013). Psychologically realistic cognitive agents: Taking human cognition seriously. J. of Experimental & Theor. Art. Intell., 25(1), 65-92. open in new tab
  29. Preprints of the 20th IFAC World Congress Toulouse, France, July 9-14, 2017 open in new tab
Verified by:
Gdańsk University of Technology

seen 89 times

Recommended for you

Meta Tags