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I-Cog: A Computational Framework for Integrated Cognition of Higher Cognitive Abilities

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MICAI 2007: Advances in Artificial Intelligence (MICAI 2007)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4827))

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Abstract

There are several challenges for AI models of higher cognitive abilities like the profusion of knowledge, different forms of reasoning, the gap between neuro-inspired approaches and conceptual representations, the problem of inconsistent data, and the manifold of computational paradigms. The I-Cog architecture – proposed as a step towards a solution for these problems – consists of a reasoning device based on analogical reasoning, a rewriting mechanism operating on the knowledge base, and a neuro-symbolic interface for robust learning from noisy data. I-Cog is intended as a framework for human-level intelligence (HLI).

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Authors and Affiliations

  1. Institute of Cognitive Science, University of Osnabrück, D-49076 Osnabrück, Germany

    Kai-Uwe Kühnberger, Tonio Wandmacher, Angela Schwering, Ekaterina Ovchinnikova, Ulf Krumnack, Helmar Gust & Peter Geibel

Authors
  1. Kai-Uwe Kühnberger
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  2. Tonio Wandmacher
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  3. Angela Schwering
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  4. Ekaterina Ovchinnikova
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  5. Ulf Krumnack
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  6. Helmar Gust
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  7. Peter Geibel
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Editor information

Alexander Gelbukh Ángel Fernando Kuri Morales

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Kühnberger, KU. et al. (2007). I-Cog: A Computational Framework for Integrated Cognition of Higher Cognitive Abilities. In: Gelbukh, A., Kuri Morales, Á.F. (eds) MICAI 2007: Advances in Artificial Intelligence. MICAI 2007. Lecture Notes in Computer Science(), vol 4827. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76631-5_20

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  • DOI: https://doi.org/10.1007/978-3-540-76631-5_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-76630-8

  • Online ISBN: 978-3-540-76631-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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