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Agent Autonomy

Agent Autonomy

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Multiagent Systems, Artificial Societies, and Simulated Organizations

Agent Autonomy

Henry Hexmoor | Cristiano Castelfranchi | Rino Falcone

Computers / Artificial Intelligence / General

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.

Publication Date: 28 September 2012
Publisher: Springer US
Imprint: Springer
ISBN-13: 9781461348337
Format: Paperback softback
Page Count: 288

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