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Computational Intelligence
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Editors: Alexandru Floares (Artificial Intelligence Department, Cancer Institute Cluj-Napoca, Cluj-Napoca, Romania)
Book Description:
Computational intelligence aims to emulate aspects of biological systems for developing software and/or hardware that learns and adapts. Such systems primarily include neural networks, fuzzy logic systems and evolutionary computation each of them including multiple active and fast growing research directions. This book presents new and ground-breaking research from world-renowned experts focusing on various topics related to computational intelligence. What makes this book particularly interesting is the variety of subjects attained, which offer a global perspective on this central research field in the Knowledge Age. (Imprint: Nova)

Table of Contents:
Preface pp. i-x

Chapter 1: Semi-supervised Learning
(Zenglin Xu. Purdue University, Mingzhen Mo, The Chinese University of Hong Kong and Irwin King, The Chinese University of Hong Kong)pp. 1-16

Chapter 2: Local Tangent Space Laplacian Eigenmaps
(Guoqiang Zhong, Kaizhu Huang, Xinwen Hou and Shiming Xiang, Institute of Automation, Chinese Academy of Sciences)pp. 17-34

Chapter 3: Multi-Step Model of Switching Reinforcement Learning to Mimic Infants` Motor Development
(Masato Nagayoshi, Niigata College of Nursing, Japan, Hajime Murao and Hisashi Tamaki, Kobe University, Japan)pp. 35-50

Chapter 4: Reverse Engineering Networks as Ordinary Differential Equations Systems
(Alexandru Floares, SAIA & OncoPredict & Cancer Institute Cluj-Napoca, Cluj-Napoca, Romania; Adriana Birlutiu (SAIA & OncoPredict, Cluj-Napoca, Romania)pp. 51-68

Chapter 5: The Relevance of Bayesian Experimental Design for Modeling in Systems Biology
(Johanna Mazur and Lars Kaderali, University of Heidelberg, Germany)
pp. 69-74

Chapter 6: Topographic Maps for clustering and fast identification of bacteria using 16S housekeeping gene
(Massimo La Rosa, Riccardo Rizzo, Alfonso Urso and Salvatore Gaglio, University of Palermo, Italy)pp.75-94

Chapter 7: Cognitive Modelling of Language Acquisition with Complex Networks
(Emil Gegov, Brunel University; Alexander Gegov, University of Portsmouth; Fernand Gobet and Mark Atherton, Brunel University, Daniel Freudenthal and Julian Pine, University of Liverpool) pp. 95-106

Chapter 8: Process Mining and Visual Analytics: Breathing Life into Business Process Models
(Wil M.P. van der Aalst and Massimiliano de Leoni, Eindhoven University of Technology, The Netherlands; Arthur H.M. ter Hofstede, Queensland University of Technology, Australia) pp. 107-138

Chapter 9: A Statistical Mechanics Definition of Insight
(Kevin B. Clark)pp. 139-162

Chapter 10: A general theory of moral agency grounding computational implementations: the ACTWith model
(Jeffrey White, KAIST, South Korea)pp. 163-210

Index pp. 211-212

   Series:
      Computer Science, Technology and Applications
   Binding: Hardcover
   Pub. Date: 2012- December
   Pages: 222, 7 x 10 (NBC - C)
   ISBN: 978-1-62081-901-2
   Status: AV
  
Status Code Description
AN Announcing
FM Formatting
PP Page Proofs
FP Final Production
EP Editorial Production
PR At Prepress
AP At Press
AV Available
  
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Computational Intelligence