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Artificial Intelligence: New Research
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Editors: Randal B. Bernstein and Wesley N. Curtis
Book Description:
The modern definition of artificial intelligence (or AI) is "the study and design of intelligent agents" where an intelligent agent is a system that perceives its environment and takes actions which maximize its chances of success. AI research uses tools and insights from many fields, including computer science, psychology, philosophy, neuroscience, cognitive science, linguistics, operations research, economics, control theory, probability, optimization and logic. AI research also overlaps such fields as robotics, control systems, scheduling, data mining, logistics, speech recognition, facial recognition and many others. This new book presents recent and important research in the field.

Table of Contents:
Preface

Expert Commentary

Some Stochastic Facets of Artificial Intelligence System; pp. 3-8
(Fariel Shafee, Physics Department, Princeton University, USA)

Research and Review Studies

Chapter 1. Application of Artificial Neural Networks in Civil Engineering; pp. 11-161
(Tsung-Lin Lee, Leader University, Taiwan, Dong-Sheng Jeng, Division of Civil Engineering, School of Engineering, Physics and Mathematics, University of Dundee, UK)

Chapter 2. Identification and Control of Marine Vehicles using Artificial Intelligence Techniques. A Novel Approach; pp. 163-205
(Pepijn van de Ven, Colin Flanagan, Daniel Toal, Department of Electronic and Computer Engineering, University of Limerick, Ireland)

Chapter 3. Multi-Agent System and Its Application in Distributed Decision Support System; pp. 207-242
(Yu Ren, HuaZhong University of Science and Technology, China, Xuewu Dai, School of Electronic & Information Engineering, Southwest Univ.,China)

Chapter 4. Screening of Patients wit; pp. 243-274
(Abdulnasir Hossen, Bader Al Ghunaimi, Department of Electrical and Computer Engineering, College of Engineering, Sultan Qaboos University)

Chapter 5. Application of Neural Networks and Support Vector Machines in Coding Theory and Practic; pp. 275-297
(Stevan M. Berber, Johnny Kao, The Department of Electrical and Computer Engineering, The University of Auckland)

Chapter 6. Analogy-Making in Situation Theory; pp. 299-321
(Emrec Sahin, Varol Akman, Bilkent University, Department of Computer Engineering, Turkey)

Chapter 7. ANN Inverse Analysis in Stochastic Computational Mechanics; pp. 323-350
(David Lehký, Drahomír Novák, Institute of Structural Mechanics, Faculty of Civil Engineering, Brno University of Technology, Czech Republic)

Chapter 8. Hybrid Meta-heuristics algorithms Involving Hopfield Neural Networks: Review and novel approaches; pp. 351-373
(S. Salcedo-Sanz, A. Portilla-Figueras, E.G. Ortiz-Garcia)

Chapter 9. Hard and Soft Computing Applied to Prediction of Brain-Death Patients Categories in Neurosurgical and Traumatic Intensive Care Units; pp. 375-399
(Jiann-Shing Shieh, Jia-Rong Yeh, Department of Mechanical Engineering, Yuan Ze University, Taiwan, Maysam F. Abbod, School of Engineering and Design, Brunel University, West London, UK)

Chapter 10. Learning Bayesian Networks for Reverse Engineering and Completion of Regulatory Gene Networks Based on Expression Data; pp. 401-413
(Frans Voorbraak, Abdelkader el Oufir, Medical Informatics, Academic Medical Center, Amsterdam, Netherlands)

Chapter 11. Evolutionary-based Design of Deterministic Test Pattern; pp. 415-428
(Gregor Papa, Jozef Stefan Institute, Slovenia, Tomasz Garbolino, Silesian University of Technology, Poland)

Chapter 12. Intelligent Fault Diagnosis of Robotic Systems with Neural Networks; pp. 429-445
(S.N.Huang, K.K.Tan, National University of Singapore)

Index

   Binding: Hardcover
   Pub. Date: 2008
   ISBN: 978-1-60456-282-8
   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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