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Session 3

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Book cover Simulating the Mind

Abstract

Automation systems of the future are envisioned as dealing with massive amounts of potentially unreliable data and expected to distill reliable information and decisions out of that. Classical mathematics - filters or correlations - and classical artificial intelligence (AI) - such as artificial neural networks or intelligent agents - can substantially help to deal with this problem. There are, however, examples in nature that are capable of focusing on just the right thing in just the right moment, even when the system is overloaded with useless other information: higher living creatures, especially humans.

It is the goal of this paper to follow a bionic path towards an intelligent automation system. The chosen approach tries to combine the latest findings of neurology, psychoanalysis and computer engineering to create an artifact, capable of perceiving, storing, remembering, evaluating and recognizing situations and scenarios, consisting of an arbitrary number of sensor information.

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Author information

Authors and Affiliations

  1. Vienna University of Technology, Austria

    Peter Palensky

  2. University of Pretoria, South Africa

    Brigitte Palensky

  3. Berkeley National Laboratory, CA, USA

    Brigitte Palensky

  4. University of Trieste, Italy

    Andrea Clarici

Authors
  1. Peter Palensky
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  2. Brigitte Palensky
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  3. Andrea Clarici
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Editor information

Editors and Affiliations

  1. Institute of Computer Technology, University of Vienna, Austria

    Dietmar Dietrich , Gerhard Zucker  & Dietmar Bruckner ,  & 

  2. Vienna Psychoanalytic Society, Austria

    Georg Fodor

  3. University of Cape Town, South Africa

    Georg Fodor

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Palensky, P., Palensky, B., Clarici, A. (2009). Session 3. In: Dietrich, D., Fodor, G., Zucker, G., Bruckner, D. (eds) Simulating the Mind. Springer, Vienna. https://doi.org/10.1007/978-3-211-09451-8_7

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  • DOI: https://doi.org/10.1007/978-3-211-09451-8_7

  • Publisher Name: Springer, Vienna

  • Print ISBN: 978-3-211-09450-1

  • Online ISBN: 978-3-211-09451-8

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