Applied Intelligent Systems

1. Front Matter

   Pages I-XVII

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2. Adaptive Technical Analysis in the Financial Markets Using Machine Learning: a Statistical View

   • David Edelman, Pam Davy

   Pages 1-16

3. Higher Order Neural Networks for Satellite Weather Prediction

   • Ming Zhang, John Fulcher

   Pages 17-57

4. Independent Component Analysis

   • Andrew D. Back

   Pages 59-95

5. Regulatory Applications of Artificial Intelligence

   • Howard Copland

   Pages 97-132

6. An Introduction to Collective Intelligence

   • Tim Hendtlass

   Pages 133-178

7. Where are all the mobile robots?

   • Phillip J. McKerrow

   Pages 179-200

8. Building Intelligent Legal Decision Support Systems: Past Practice and Future Challenges

   • John Zeleznikow

   Pages 201-254

9. Teaming Humans and Intelligent Agents

   • Christos Sioutis, Pierre Urlings, Jeffrey Tweedale, Nikhil Ichalkaranje

   Pages 255-279

10. Fuzzy Multivariate Auto-Regression Method and its Application

    • N. Arzu Sisman-Yilmaz, Ferda N. Alpaslan, Lakhmi C. Jain

    Pages 281-300

11. Selective Attention Adaptive Resonance Theory and Object Recognition

    • Peter Lozo, Jason Westmacott, Quoc V. Do, Lakhmi C. Jain, Lai Wu

    Pages 301-320

12. Back Matter

    Pages 321-325

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Humans have always been hopeless at predicting the future…most people now generally agree that the margin of viability in prophecy appears to be 1 ten years. Even sophisticated research endeavours in this arena tend to go 2 off the rails after a decade or so. The computer industry has been particularly prone to bold (and often way off the mark) predictions, for example: ‘I think there is a world market for maybe five computers’ Thomas J. Watson, IBM Chairman (1943), ‘I have traveled the length and breadth of this country and talked with the best people, and I can assure you that data processing is a fad that won’t last out the year’ Prentice Hall Editor (1957), ‘There is no reason why anyone would want a computer in their home’ Ken Olsen, founder of DEC (1977) and ‘640K ought to be enough for anybody’ Bill Gates, CEO Microsoft (1981). 3 The field of Artificial Intelligence – right from its inception – has been particularly plagued by ‘bold prediction syndrome’, and often by leading practitioners who should know better. AI has received a lot of bad press 4 over the decades, and a lot of it deservedly so. How often have we groaned in despair at the latest ‘by the year-20xx, we will all have…(insert your own particular ‘hobby horse’ here – e. g.

• Signal
• agents
• applied AI
• applied intelligent systems
• artificial intelligence
• case-based reasoning
• classification
• expert system
• intelligent systems
• learning
• linear optimization
• ontology
• real-world applications
• robot
• robotics

• School of Information, Technology & Computer Science, University of Wollongong, Wollongong, Australia

  John Fulcher

• Knowledge-Based Intelligent, Engineering Systems Centre, University of South Australia, Adelaide, Australia

  Lakhmi C. Jain

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