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Towards Computational Models of Artificial Cognitive Systems That Can, in Principle, Pass the Turing Test

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SOFSEM 2012: Theory and Practice of Computer Science (SOFSEM 2012)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7147))

Abstract

We will give plausible arguments in favor of a claim that we already have sufficient knowledge to understand the working of interesting artificial minds attaining a high-level cognition, consciousness included. Achieving a higher-level AI seems to be not a matter of a fundamental scientific breakthrough but rather a matter of exploiting our best theories of artificial minds and our most advanced data processing technologies. We list the theories we have in mind and illustrate their role and place on the example of a high-level architecture of a conscious cognitive agent with a potential to pass the Turing test.

This research was carried out within the institutional research plan AV0Z10300504 and partially supported by GA ČR grant No. P202/10/1333.

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Authors and Affiliations

  1. Institute of Computer Science, Academy of Sciences of the Czech Republic, Pod Vodárenskou věží 2, 182 07, Prague 8, Czech Republic

    Jiří Wiedermann

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  1. Jiří Wiedermann
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Editors and Affiliations

  1. Faculty of Informatics and Information Technologies, Institute of Informatics and Software Engineering, Slovak University of Technology in Bratislava, Ilkovičova 3, 842 16, Bratislava 4, Slovakia

    Mária Bieliková

  2. Dept. of Intelligent Systems and Business Informatics, Alpen-Adria-Universität Klagenfurt, Universitätsstr. 65-57, 9020, Klagenfurt, Austria

    Gerhard Friedrich

  3. Department of Computer Science, University of Oxford, UK

    Georg Gottlob

  4. Security Engineering Group, Technische Universität Darmstadt, Hochschulstr. 10, 64289, Darmstadt, Germany

    Stefan Katzenbeisser

  5. University of Illinois at Chicago, Dept. of Math., Stat. and Comp. Sci, 851 S. Morgan Street, Chicago, IL 60607-7045, USA; and University of Szeged, Research Group on Artificial Intelligence of the Hungarian Academy of Sciences, 6701 Szeged, Postafiók, Hungary

    György Turán

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Wiedermann, J. (2012). Towards Computational Models of Artificial Cognitive Systems That Can, in Principle, Pass the Turing Test. In: Bieliková, M., Friedrich, G., Gottlob, G., Katzenbeisser, S., Turán, G. (eds) SOFSEM 2012: Theory and Practice of Computer Science. SOFSEM 2012. Lecture Notes in Computer Science, vol 7147. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27660-6_5

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  • DOI: https://doi.org/10.1007/978-3-642-27660-6_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27659-0

  • Online ISBN: 978-3-642-27660-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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