Agent Autonomy / Multiagent Systems, Artificial Societies, and Simulated Organizations Bd.7 (PDF)
(Sprache: Englisch)
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...
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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.
Bibliographische Angaben
- 2012, 2003, 288 Seiten, Englisch
- Herausgegeben: Henry Hexmoor, Cristiano Castelfranchi, Rino Falcone
- Verlag: Springer, New York
- ISBN-10: 1441991980
- ISBN-13: 9781441991980
- Erscheinungsdatum: 06.12.2012
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- Grösse: 27 MB
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Englisch
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