Artificial Intelligence, Evolutionary Computing and Metaheuristics

In the Footsteps of Alan Turing

Editors:

ISBN: 978-3-642-29693-2 (Print) 978-3-642-29694-9 (Online)

Table of contents (29 chapters)

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  1. Front Matter

    Pages 1-16

  2. Artificial Intelligence and Cryptography

    1. Front Matter

      Pages 1-1

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      Chapter

      Pages 3-17

      Turing Test as a Defining Feature of AI-Completeness

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      Chapter

      Pages 19-41

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

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      Chapter

      Pages 43-62

      Turing: Then, Now and Still Key

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      Chapter

      Pages 63-81

      Imitation Programming Unorganised Machines

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      Chapter

      Pages 83-108

      Towards Machine Equivalent Consciousness

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      Chapter

      Pages 109-138

      Multicriteria Models for Learning Ordinal Data: A Literature Review

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      Chapter

      Pages 139-168

      Diophantine and Lattice Cryptanalysis of the RSA Cryptosystem

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      Chapter

      Pages 169-199

      Artificial Intelligence Methods in Early Childhood Education

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      Chapter

      Pages 201-230

      Recursively Generated Evolutionary Turing Machines and Evolutionary Automata

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      Chapter

      Pages 231-256

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

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      Chapter

      Pages 257-285

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

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      Chapter

      Pages 287-318

      AIML Knowledge Base Construction from Text Corpora

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      Chapter

      Pages 319-343

      Multidisciplinary Trends in Modern Artificial Intelligence: Turing’s Way

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      Chapter

      Pages 345-369

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

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      Chapter

      Pages 371-402

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

  3. Evolutionary Computation and Metaheuristics

    1. Front Matter

      Pages 403-403

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      Chapter

      Pages 405-420

      Metaheuristic Optimization: Nature-Inspired Algorithms and Applications

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      Chapter

      Pages 421-434

      Bat Algorithm and Cuckoo Search: A Tutorial

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      Chapter

      Pages 435-476

      Memory and Learning in Metaheuristics

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      Chapter

      Pages 477-524

      On Some Aspects of Nature-Based Algorithms to Solve Multi-Objective Problems

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      Chapter

      Pages 525-544

      Image Processing with Spiking Neuron Networks

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