Agent Autonomy 2003 Edition Contributor(s): Hexmoor, Henry (Editor), Castelfranchi, Cristiano (Editor), Falcone, Rino (Editor) |
|
ISBN: 1402074026 ISBN-13: 9781402074028 Publisher: Springer OUR PRICE: $104.49 Product Type: Hardcover - Other Formats Published: March 2003 Annotation: 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. |
Additional Information |
BISAC Categories: - Computers | Intelligence (ai) & Semantics - Social Science |
Dewey: 006.3 |
LCCN: 2003040054 |
Series: Multiagent Systems, Artificial Societies, and Simulated Orga |
Physical Information: 0.89" H x 6.94" W x 9.12" (1.36 lbs) 288 pages |
Descriptions, Reviews, Etc. |
Publisher Description: 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. |