Concepts and Models for the Future Generation of Emotional and Intelligent Systems

  • José Antonio Martín H.
  • Javier de Lope
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4527)


In this work, we first present a view of the philosophic study of Intelligent Behavior in a wide sense. We expose some key ideas to understand Intelligence and Rationality in an operational way based on the notions of Prediction and Randomness. In particular, we hypothesize that unpredictability is the key concept of Intelligence while not randomness is the key concept of Rationality. Next we undertake the study of Emotional Behavior discussing the basic principle of emotional attachment which is modeled by means of an operational definition of the Self. We hypothesize that the most basic principles of the Emotional Behavior emerges from a sort of ego-centric mechanism.


Reference Frame Perceptual System Inert Particle Emotional Behavior Emotional Attachment 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    P., D.: Linearly anticipatory autonomous agents. In: Agents, pp. 490–491 (1997)Google Scholar
  2. 2.
    Rosen, R.: Anticipatory Systems. Pergamon Press, Oxford (1985)Google Scholar
  3. 3.
    Butz, M.V., Sigaud, O., Gérard, P. (eds.): Anticipatory Behavior in Adaptive Learning Systems. LNCS (LNAI), vol. 2684. Springer, Heidelberg (2003)zbMATHGoogle Scholar
  4. 4.
    P., M.: The dynamics of action selection. In: Proceedings of the Eleventh International Joint Conference on Artificial Intelligence (IJCAI-89), Detroit, MI, pp. 991–997 (1989)Google Scholar
  5. 5.
    Edelman, G.M.: Neural Darwinism – The Theory of Neuronal Group Selection. Basic Books, New York (1987)Google Scholar
  6. 6.
    Tononi, G., Edelman, G.M.: Consciousness and Complexity. Science 282(5395), 1846–1851 (1998),, doi:10.1126/science.282.5395.1846CrossRefGoogle Scholar
  7. 7.
    Brooks, R.A.: Elephants don’t play chess. Robotics and Autonomous Systems 6(1-2), 3–15 (1990)CrossRefGoogle Scholar
  8. 8.
    Brooks, R.A.: Intelligence without reason. In: Proc. 12th Int. Joint Conf. on Artificial Intelligence (IJCAI-91), Sydney, Australia, pp. 569–595 (1991)Google Scholar
  9. 9.
    Brooks, R.A.: Intelligence without representation. Artificial Intelligence Journal 47, 139–159 (1991)CrossRefGoogle Scholar
  10. 10.
    Shannon, C.E.: A mathematical theory of communication. The Bell System Technical Journal 27(3), 379–423 (1948)MathSciNetGoogle Scholar
  11. 11.
    Shannon, C.E., Weaver, W.: The Mathematical Theory of Communication. University of Illinois Press, Urbana (1949)zbMATHGoogle Scholar
  12. 12.
    Walter, C.: The wisdom of the body. W.W. Norton & Company, Inc., New York (1932)Google Scholar

Copyright information

© Springer Berlin Heidelberg 2007

Authors and Affiliations

  • José Antonio Martín H.
    • 1
  • Javier de Lope
    • 2
  1. 1.Dep. Sistemas Informáticos y Computación, Universidad Complutense de Madrid 
  2. 2.Dept. of Applied Intelligent Systems, Universidad Politécnica de Madrid 

Personalised recommendations