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Agent Autonomy

Springer US,
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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.


Titel: Agent Autonomy
Autoren/Herausgeber: Henry Hexmoor, Cristiano Castelfranchi, Rino Falcone (Hrsg.)
Aus der Reihe: Multiagent Systems, Artificial Societies, and Simulated Organizations
Ausgabe: Softcover reprint of the original 1st ed. 2003

ISBN/EAN: 9781461348337

Seitenzahl: 288
Format: 23,5 x 15,5 cm
Produktform: Taschenbuch/Softcover
Gewicht: 462 g
Sprache: Englisch - Newsletter
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