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Yang X.-S. (ed.) Artificial Intelligence, Evolutionary Computing and Metaheuristics. In the Footsteps of Alan Turing

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Yang X.-S. (ed.) Artificial Intelligence, Evolutionary Computing and Metaheuristics. In the Footsteps of Alan Turing
Springer, 2013. — 797 p. — (Studies in Computational Intelligence, 427). — ISBN: 978-3-642-29693-2, 978-3-642-29694-9.
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 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.
Part I: Artificial Intelligence and Cryptography
Turing Test as a Defining Feature of AI-Completeness
Artificial Intelligence Evolved from Random Behaviour: Departure from the State of the Art
Turing: Then, Now and Still Key
Imitation Programming Unorganised Machines
Towards Machine Equivalent Consciousness
Multicriteria Models for Learning Ordinal Data: A Literature Review
Diophantine and Lattice Cryptanalysis of the RSA Cryptosystem
Artificial Intelligence Methods in Early Childhood Education
Recursively Generated Evolutionary Turing Machines and Evolutionary Automata
On Dynamical Systems of Large Girth or Cycle Indicator and Their Applications to Multivariate Cryptography
On Extremal Graph Theory, Explicit Algebraic Constructions of Extremal Graphs and Corresponding Turing Encryption Machines
AIML Knowledge Base Construction from Text Corpora
Multidisciplinary Trends in Modern Artificial Intelligence: Turing’s Way
An Overview of Computational Sparse Models and Their Applications in Artificial Intelligence
MiTS in Depth: An Analysis of Distinct Tabu Search Configurations for Constructing Mixed Covering Arrays
Part II: Evolutionary Computation and Metaheuristics
Metaheuristic Optimization: Nature-Inspired Algorithms and Applications
Bat Algorithm and Cuckoo Search: A Tutorial
Memory and Learning in Metaheuristics
On Some Aspects of Nature-Based Algorithms to Solve Multi-Objective Problems
Image Processing with Spiking Neuron Networks
Circle Detection on Images Using Learning Automata
Decision Incorporation in Meta-heuristics to Cope with Decision Scheduling Problems
Evolutionary Models for Agent-Based Complex Behavior Modeling
Bankruptcy Prediction for Banks: An Artificial Intelligence Approach to Improve Understandability
Neural Network Based Approaches for Network Traffic Prediction
Application of Bat Algorithm and Fuzzy Systems to Model Exergy Changes in a Gas Turbine
A KBRL Inference Metaheuristic with Applications
Multi-objective Simulated Annealing Algorithm for Partner Selection in Virtual Enterprises
Metaheuristic Approaches for the Winner Determination Problem in Combinatorial Auction
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