Multidisciplinary Trends in Modern Artificial Intelligence: Turing’s Way

Part of the Studies in Computational Intelligence book series (SCI, volume 427)


The paper faces the challenge to generalize existing trends and approaches in the field of artificial intelligence. Under consideration are expert systems, dynamic neural networks, probabilistic reasoning, fuzzy logic, genetic algorithms, multi-agent systems, bio-inspired algorithms, distributed nonlinear computing, chaos-driven pattern recognition. Each approach strengths and limitations are stated without exhaustive treatment to involve specialist from adjacent fields in discussion. The most perspective research directions are revealed and analyzed in reference to Turing’s way in artificial intelligence and beyond.


artificial intelligence multidisciplinarity bio-inspired methods chaotic neural network Turing machine self-organization chaotic maps chaotic computing 


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Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Faculty of Computer ScienceSt. Petersburg State Polytechnical UniversitySt. PetersburgRussia
  2. 2.Graduate School of ManagementSt. Petersburg State UniversitySt. PetersburgRussia

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