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Agent Autonomy

  • Book
  • © 2003

Overview

Editors:
  1. Henry Hexmoor

    1. University of Arkansas, Italy

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    You can also search for this editor in PubMed   Google Scholar

  2. Cristiano Castelfranchi

    1. National Research Council, Italy

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    You can also search for this editor in PubMed   Google Scholar

  3. Rino Falcone

    1. National Research Council, Italy

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Table of contents (11 chapters)

  1. Front Matter

    Pages i-vi
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  2. A Prospectus on Agent Autonomy

    • Henry Hexmoor, Cristiano Castelfranchi, Rino Falcone
    Pages 1-10

  3. Autonomy: Variable and Generative

    • Michael Luck, Mark D’Inverno, Steve Munroe
    Pages 11-28

  4. Representing and Analyzing Adaptive Decision-Making Frameworks

    • K. S. Barber, I. M. Gamba, C. E. Martin
    Pages 29-54

  5. Quantifying Relative Autonomy in Multiagent Interaction

    • Sviatoslav Braynov, Henry Hexmoor
    Pages 55-73

  6. Obligations and Cooperation: Two Sides of Social Rationality

    • Guido Boella
    Pages 75-102

  7. From Automaticity to Autonomy: The Frontier of Artificial Agents

    • Cristiano Castelfranchi, Rino Falcone
    Pages 103-136

  8. Adjusting the Autonomy in Mixed-initiative Systems by Reasoning about Interaction

    • Robin Cohen, Michael Fleming
    Pages 137-158

  9. Interacting with IDA

    • Stan Franklin, Lee Mccauley
    Pages 159-183

  10. Policy-based Agent Directability

    • Karen L. Myers, David N. Morley
    Pages 185-209

  11. Adjustable Autonomy for the Real World

    • Paul Scerri, David Pynadath, Melind Tambe
    Pages 211-241

  12. Adjustable Autonomy and Human-Agent Teamwork in Practice: An Interim Report on Space Applications

    • Jeffrey M. Bradshaw, Maarten Sierhuis, Alessandro Acquisti, Paul Feltovich, Robert Hoffman, Renia Jeffers et al.
    Pages 243-280

  13. Back Matter

    Pages 281-288
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Keywords

About this book

Autonomy is a characterizing notion of agents, and intuitively it is rather unambiguous. The quality of autonomy is recognized when it is perceived or experienced, yet it is difficult to limit autonomy in a definition. The desire to build agents that exhibit a satisfactory quality of autonomy includes agents that have a long life, are highly independent, can harmonize their goals and actions with humans and other agents, and are generally socially adept. Agent Autonomy is a collection of papers from leading international researchers that approximate human intuition, dispel false attributions, and point the way to scholarly thinking about autonomy. A wide array of issues about sharing control and initiative between humans and machines, as well as issues about peer level agent interaction, are addressed.

Editors and Affiliations

  • University of Arkansas, Italy

    Henry Hexmoor

  • National Research Council, Italy

    Cristiano Castelfranchi, Rino Falcone

Bibliographic Information

  • Book Title: Agent Autonomy

  • Editors: Henry Hexmoor, Cristiano Castelfranchi, Rino Falcone

  • Series Title: Multiagent Systems, Artificial Societies, and Simulated Organizations

  • DOI: https://doi.org/10.1007/978-1-4419-9198-0

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer Science+Business Media New York 2003

  • Hardcover ISBN: 978-1-4020-7402-8Published: 31 March 2003

  • Softcover ISBN: 978-1-4613-4833-7Published: 28 September 2012

  • eBook ISBN: 978-1-4419-9198-0Published: 06 December 2012

  • Series ISSN: 1568-2617

  • Edition Number: 1

  • Number of Pages: VI, 288

  • Topics: Artificial Intelligence

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