Emerging Areas

  • Leonid Perlovsky
  • Ross Deming
  • Roman Ilin
Part of the Studies in Computational Intelligence book series (SCI, volume 371)

Abstract

The brain-mind is a most sophisticated and advanced system, solving many problems, which cannot be solved today by computers. Therefore modeling the brain-mind mechanisms is a broad emerging area of engineering, which goals are to develop cognitive algorithms approaching human intelligence. We begin this chapter with discussing experimental evidence for dynamic logic modeling actual perception and cognition processes in the brain. This helps understanding the brain-mind mechanisms and provides a new foundation for understanding successes of the DL algorithms described earlier. Based on this relation between DL and brain mechanisms, as well as recent progress in cognitive neuropsychology, more complicated brain processes are modeled including grounded symbols and language learning. Correspondingly more complicated emerging areas of engineering are described including natural language learning, search engines based on language understanding, the role of emotions in cognition, building cooperative man-machine systems, in which man and machines learn from each other and form smoothly cooperating systems. This requires modeling higher cognitive abilities, including the beautiful, music, sublime. Possibly a most challenging problem of the 21st century is to understand cultural diversity, to understand differences and similarities among diverse cultures. Cognitive, mathematical, and engineering understanding of the diversity will help us to accept it, to learn how to live together in the diverse world.

Keywords

Emotional Intelligence Cognitive Model Emotional Content Dual Model Dynamic Logic 
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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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Leonid Perlovsky
    • Ross Deming
      • Roman Ilin

        There are no affiliations available

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