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140122 ||| eng |
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|a 9781441991980
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|a Hexmoor, Henry
|e [editor]
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|a Agent Autonomy
|h Elektronische Ressource
|c edited by Henry Hexmoor, Cristiano Castelfranchi, Rino Falcone
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|a 1st ed. 2003
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|a New York, NY
|b Springer US
|c 2003, 2003
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|a VI, 288 p
|b online resource
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|a 1. A Prospectus on Agent Autonomy -- 2. Autonomy: Variable and Generative -- 3. Representing and Analyzing Adaptive Decision-Making Frameworks -- 4. Quantifying Relative Autonomy in Multiagent Interaction -- 5. Obligations and Cooperation: Two Sides of Social Rationality -- 6. From Automaticity to Autonomy: The Frontier of Artificial Agents -- 7. Adjusting the Autonomy in Mixed-initiative Systems by Reasoning about Interaction -- 8. Interacting with IDA -- 9. Policy-based Agent Directability -- 10. Adjustable Autonomy for the Real World -- 11. Adjustable Autonomy and Human-Agent Teamwork in Practice: An Interim Report on Space Applications
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|a Artificial Intelligence
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|a Artificial intelligence
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|a Castelfranchi, Cristiano
|e [editor]
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|a Falcone, Rino
|e [editor]
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7 |
|a eng
|2 ISO 639-2
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|b SBA
|a Springer Book Archives -2004
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|a Multiagent Systems, Artificial Societies, and Simulated Organizations
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|a 10.1007/978-1-4419-9198-0
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|u https://doi.org/10.1007/978-1-4419-9198-0?nosfx=y
|x Verlag
|3 Volltext
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|a 006.3
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|a 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
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