Agent Autonomy

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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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.

• DEX
• Factor
• agents
• character
• control
• cooperation
• decision making
• framework
• interaction
• variable

• University of Arkansas, Italy

  Henry Hexmoor

• National Research Council, Italy

  Cristiano Castelfranchi, Rino Falcone

Policies and ethics