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Fuzzy Logic pp 386-393 | Cite as

Learning Ecology for Human and Machine Intelligence: A Soft Computing Approach

  • Vlad Dimitrov
Conference paper
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 81)

Abstract

Ecology studies the web of dynamic interactions of the living creatures, including humans, and their environment — natural and artificial (human-made). Learning is a process which is vital for sustaining integrity of this web and hence for sustaining life and evolution.

Keywords

Fuzzy Logic Human Perception Machine Intelligence Autonomous Decision Intelligent Control System 
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.

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References

  1. 1.
    Zadeh, L 2000 Toward a Perception–Based Theory of Probabilistic Reasoning, in With Fuzzy Logic in the New Millennium, Eds. V.Dimirtov and V. Korotkich, UWS Publ. (ISBN 1-86341-876-8)Google Scholar
  2. 2.
    Zadeh, L. 1973 A New Approach to the Analysis of Complex Systems, IEEE Trans. Syst., Man, Cybern., SMC-3, 1Google Scholar
  3. 3.
    Dimitrov, V. et al 2001 Fuzziology and Social Complexity, in Advances in Fuzzy Systems and Evolutionary Computation, Ed. N. Mastorakis, WSES Press; http://www.uws.edu.au/vip/dimitrov/fuzzysoc.htmGoogle Scholar
  4. 4.
    Zadeh, L 2000 Toward an Enlargement of the Role of Natural Languages in Information Processing, Decision and Control, in With Fuzzy Logic in the New Millennium, Eds. V.Dimirtov and V. Korotkich, UWS Publ. (ISBN 1-86341-876-8)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Vlad Dimitrov
    • 1
  1. 1.University of Western SydneyRichmondAustralia

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