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Artificial Intelligence, Evolutionary Computing and Metaheuristics

In the Footsteps of Alan Turing

  • Book
  • © 2013

Overview

Editors:
  1. Xin-She Yang

    1. , Mathematics and Scientific Computing, National Physical Laboratory, Teddington, United Kingdom

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  • Highlights the most recent progress in artificial intelligence, evolutionary computing and metaheuristics
  • Carefully edited book on the occasion of the Alan Turing year -- a centenary celebration of the life and work of Alan Turing
  • Written by leading experts in the field

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

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About this book

Alan Turing pioneered many research areas such as artificial intelligence, computability, heuristics and pattern formation.  Nowadays at the information age, it is hard to imagine how the world would be without computers and the Internet. Without Turing's work, especially the core concept of Turing Machine at the heart of every computer, mobile phone and microchip today, so many things on which we are so dependent would be impossible.

2012 is the Alan Turing year -- a centenary celebration of the life and work of Alan Turing. To celebrate Turing's legacy and follow the footsteps of this brilliant mind, we take this golden opportunity to review the latest developments in areas of artificial intelligence, evolutionary computation and metaheuristics, and all these areas can be traced back to Turing's pioneer work. Topics include Turing test, Turing machine, artificial intelligence, cryptography, software testing, image processing, neural networks, nature-inspired algorithms such as bat algorithm and cuckoo search, and multiobjective optimization and many applications. These reviews and chapters not only provide a timely snapshot of the state-of-art developments, but also provide inspiration for young researchers to carry out potentially ground-breaking research in the active, diverse research areas in artificial intelligence, cryptography, machine learning, evolutionary computation, and nature-inspired metaheuristics.

This edited book can serve as a timely reference for graduates, researchers and engineers in artificial intelligence, computer sciences, computational intelligence, soft computing, optimization, and applied sciences.

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Table of contents (29 chapters)

  1. Front Matter

    Pages 1-16
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  2. Artificial Intelligence and Cryptography

    1. Front Matter

      Pages 1-1
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    2. Turing Test as a Defining Feature of AI-Completeness

      • Roman V. Yampolskiy
      Pages 3-17

    3. Artificial Intelligence Evolved from Random Behaviour: Departure from the State of the Art

      • Wiesłw Pietruszkiewicz, Akira Imada
      Pages 19-41

    4. Turing: Then, Now and Still Key

      • Kieran Greer
      Pages 43-62

    5. Imitation Programming Unorganised Machines

      • Larry Bull
      Pages 63-81

    6. Towards Machine Equivalent Consciousness

      • Amy Wenxuan Ding
      Pages 83-108

    7. Multicriteria Models for Learning Ordinal Data: A Literature Review

      • Ricardo Sousa, Iryna Yevseyeva, Joaquim F. Pinto da Costa, Jaime S. Cardoso
      Pages 109-138

    8. Diophantine and Lattice Cryptanalysis of the RSA Cryptosystem

      • Abderrahmane Nitaj
      Pages 139-168

    9. Artificial Intelligence Methods in Early Childhood Education

      • Jim Prentzas
      Pages 169-199

    10. Recursively Generated Evolutionary Turing Machines and Evolutionary Automata

      • Mark Burgin, Eugene Eberbach
      Pages 201-230

    11. On Dynamical Systems of Large Girth or Cycle Indicator and Their Applications to Multivariate Cryptography

      • Vasyl Ustimenko, Urszula Romańczuk
      Pages 231-256

    12. On Extremal Graph Theory, Explicit Algebraic Constructions of Extremal Graphs and Corresponding Turing Encryption Machines

      • Vasyl Ustimenko, Urszula Romańczuk
      Pages 257-285

    13. AIML Knowledge Base Construction from Text Corpora

      • Giovanni De Gasperis, Isabella Chiari, Niva Florio
      Pages 287-318

    14. Multidisciplinary Trends in Modern Artificial Intelligence: Turing’s Way

      • Elena N. Benderskaya, Sofya V. Zhukova
      Pages 319-343

    15. An Overview of Computational Sparse Models and Their Applications in Artificial Intelligence

      • Yue Deng, Qionghai Dai, Zengke Zhang
      Pages 345-369

    16. MiTS in Depth: An Analysis of Distinct Tabu Search Configurations for Constructing Mixed Covering Arrays

      • Loreto Gonzalez-Hernandez, Jose Torres-Jimenez, Nelson Rangel-Valdez
      Pages 371-402

  3. Evolutionary Computation and Metaheuristics

    1. Front Matter

      Pages 403-403
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    2. Metaheuristic Optimization: Nature-Inspired Algorithms and Applications

      • Xin-She Yang
      Pages 405-420

    3. Bat Algorithm and Cuckoo Search: A Tutorial

      • Xin-She Yang
      Pages 421-434
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Editors and Affiliations

  • , Mathematics and Scientific Computing, National Physical Laboratory, Teddington, United Kingdom

    Xin-She Yang

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