Advances in Applied Artificial Intelligence

by FULCHER JOHN (ED)

• ISBN13: 9781591408277
• ISBN10: 159140827X
• Format: Hardcover
• Copyright: 2006-03-04
• Publisher: Idea Group Pub

Summary

Whether any one technology will prove to be the central one in creating artificial intelligence, or whether a combination of technologies will be necessary to create an artificial intelligence is still an open question, so many scientists are experimenting with mixtures of such techniques. In Advances in Applied Artificial Intelligence these questions are implicitly addressed by scientists tackling specific problems which require intelligence in both individual and combinations of specific artificial intelligence techniques.Advances in Applied Artificial Intelligence includes extensive references within each chapter which an interested reader may wish to pursue. Therefore, this book can be used as a central resource from which major avenues of research may be approached.

Table of Contents

Preface	viii
Chapter I Soft Computing Paradigms and Regression Trees in Decision Support Systems	1	(28)
Cong Tran, University of South Australia, Australia
Ajith Abraham, Chung-Ang University, Korea
Lakhmi Jain, University of South Australia, Australia
Chapter II Application of Text Mining Methodologies to Health Insurance Schedules	29	(23)
Ah Chung Tsoi, Monash University, Australia
Phuong Kim To, Tedis P/L, Australia
Markus Hagenbuchner, University of Wollongong, Australia
Chapter III Coordinating Agent Interactions Under Open Environments	52	(16)
Quan Bai, University of Wollongong, Australia
Minjie Zhang, University of Wollongong, Australia
Chapter IV Literacy by Way of Automatic Speech Recognition	68	(52)
Russell Gluck, University of Wollongong, Australia
John Fulcher, University of Wollongong, Australia
Chapter V Smart Cars: The Next Frontier	120	(37)
Lars Petersson, National ICT Australia, Australia
Luke Fletcher, Australian National University, Australia
Nick Barnes, National ICT Australia, Australia
Alexander Zelinsky, CSIRO ICT Centre, Australia
Chapter VI The Application of Swarm Intelligence to Collective Robots	157	(29)
Amanda J.C. Sharkey, University of Sheffield, UK
Noel Sharkey, University of Sheffield, UK
Chapter VII Self-Organising Impact Sensing Networks in Robust Aerospace Vehicles	186	(48)
Mikhail Prokopenko, CSIRO Information and Communication Technology Centre and CSIRO Industrial Physics, Australia
Geoff Poulton, CSIRO Information and Communication Technology Centre and CSIRO Industrial Physics, Australia
Don Price, CSIRO Information and Communication
Technology Centre and CSIRO Industrial Physics, Australia
Peter Wang, CSIRO Information and Communication Technology Centre and CSIRO Industrial Physics, Australia
Philip Valencia, CSIRO Information and Communication Technology Centre and CSIRO Industrial Physics, Australia
Nigel Hoschke, CSIRO Information and Communication Technology Centre and CSIRO Industrial Physics, Australia
Tony Farmer, CSIRO Information and Communication Technology Centre and CSIRO Industrial Physics, Australia
Mark Hedley, CSIRO Information and Communication Technology Centre and CSIRO Industrial Physics, Australia
Chris Lewis, CSIRO Information and Communication Technology Centre and CSIRO Industrial Physics, Australia
Andrew Scott, CSIRO Information and Communication Technology Centre and CSIRO Industrial Physics, Australia
Chapter VIII Knowledge Through Evolution	234	(17)
Russell Beale, University of Birmingham, UK
Andy Pryke, University of Birmingham, UK
Chapter IX Neural Networks for the Classification of Benign and Malignant Patterns in Digital Mammograms	251	(22)
Brijesh Verma, Central Queensland University, Australia
Rinku Panchal, Central Queensland University, Australia
Chapter X Swarm Intelligence and the Taguchi Method for Identification of Fuzzy Models	273	(23)
Arun Khosla, National Institute of Technology, Jalandhar, India
Shakti Kumar, Haryana Engineering College, Jalandhar, India
K.K. Aggarwal, GGS Indraprastha University, Delhi, India
About the Authors	296	(9)
Index	305