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Innovations in Intelligent Machines - 1

  • Book
  • © 2007

Overview

Editors:
  1. Javaan Singh Chahl

    1. Defence Science and Technology Organisation, Edinburgh, Australia

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  2. Lakhmi C. Jain

    1. University of South Australia Mawson Lakes Campus, Adelaide, Australia

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  3. Akiko Mizutani

    1. Odonatrix Pty Ltd., Adelaide, Australia

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  4. Mika Sato-Ilic

    1. University of Tsukuba, Japan

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  • Latest research on the theory of intelligent machines and their applications
  • Includes supplementary material: sn.pub/extras

Part of the book series: Studies in Computational Intelligence (SCI, volume 70)

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Table of contents (9 chapters)

  1. Front Matter

    Pages I-XIII
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  2. Intelligent Machines: An Introduction

    • Lakhmi C. Jain, Anas Quteishat, Chee Peng Lim
    Pages 1-9

  3. Predicting Operator Capacity for Supervisory Control of Multiple UAVs

    • M. L. Cummings, Carl E. Nehme, Jacob Crandall, Paul Mitchell
    Pages 11-37

  4. Team, Game, and Negotiation based Intelligent Autonomous UAV Task Allocation for Wide Area Applications

    • P. B. Sujit, A. Sinha, D. Ghose
    Pages 39-75

  5. UAV Path Planning Using Evolutionary Algorithms

    • Ioannis K. Nikolos, Eleftherios S. Zografos, Athina N. Brintaki
    Pages 77-111

  6. Evolution-based Dynamic Path Planning for Autonomous Vehicles

    • Anawat Pongpunwattana, Rolf Rysdyk
    Pages 113-145

  7. Algorithms for Routing Problems Involving UAVs

    • Sivakumar Rathinam, Raja Sengupta
    Pages 147-172

  8. State Estimation for Micro Air Vehicles

    • Randal W. Beard
    Pages 173-199

  9. Evolutionary Design of a Control Architecture for Soccer-Playing Robots

    • Steffen Prüter, Hagen Burchardt, Ralf Salomon
    Pages 201-222

  10. Toward Robot Perception through Omnidirectional Vision

    • José Gaspar, Niall Winters, Etienne Grossmann, José Santos- Victor
    Pages 223-270
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Keywords

About this book

Innovations in Intelligent Machines is a very timely volume that takes a fresh look on the recent attempts of instilling human-like intelligence into computer-controlled devices. By contrast to the machine intelligence research of the last two decades, the recent work in this area recognises explicitly the fact that human intelligence is not purely computational but that it also has an element of empirical validation (interaction with the environment). Also, recent research recognises that human intelligence does not always prevent one from making errors but it equips one with the ability to learn from m- takes. The latter is the basic premise for the development of the collaborative (swarm)intelligencethatdemonstratesthevalueofthevirtualexperiencepool assembled from cases of successful and unsuccessful execution of a particular algorithm. The editors are to be complemented for their vision of designing a fra- work within which they ask some fundamental questions about the nature of intelligence in general and intelligent machines in particular and illustrate answers to these questions with speci?c practical system implementations in the consecutive chapters of the book.

Editors and Affiliations

  • Defence Science and Technology Organisation, Edinburgh, Australia

    Javaan Singh Chahl

  • University of South Australia Mawson Lakes Campus, Adelaide, Australia

    Lakhmi C. Jain

  • Odonatrix Pty Ltd., Adelaide, Australia

    Akiko Mizutani

  • University of Tsukuba, Japan

    Mika Sato-Ilic

Bibliographic Information

  • Book Title: Innovations in Intelligent Machines - 1

  • Editors: Javaan Singh Chahl, Lakhmi C. Jain, Akiko Mizutani, Mika Sato-Ilic

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-540-72696-8

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2007

  • Hardcover ISBN: 978-3-540-72695-1Published: 06 August 2007

  • Softcover ISBN: 978-3-642-09177-3Published: 28 October 2010

  • eBook ISBN: 978-3-540-72696-8Published: 07 July 2007

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: XIII, 270

  • Topics: Mathematical and Computational Engineering, Artificial Intelligence

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