I-Cog: a computational framework for integrated cognition of higher cognitive abilities

  • Authors:
  • Kai-Uwe Kühnberger;Tonio Wandmacher;Angela Schwering;Ekaterina Ovchinnikova;Ulf Krumnack;Helmar Gust;Peter Geibel

  • Affiliations:
  • Institute of Cognitive Science, University of Osnabrück, Osnabrück, Germany;Institute of Cognitive Science, University of Osnabrück, Osnabrück, Germany;Institute of Cognitive Science, University of Osnabrück, Osnabrück, Germany;Institute of Cognitive Science, University of Osnabrück, Osnabrück, Germany;Institute of Cognitive Science, University of Osnabrück, Osnabrück, Germany;Institute of Cognitive Science, University of Osnabrück, Osnabrück, Germany;Institute of Cognitive Science, University of Osnabrück, Osnabrück, Germany

  • Venue:
  • MICAI'07 Proceedings of the artificial intelligence 6th Mexican international conference on Advances in artificial intelligence
  • Year:
  • 2007

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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).