Agent Autonomy
By: edited by Henry Hexmoor, Cristiano Castelfranchi, Rino Falcone
Contributors: Castelfranchi, Cristiano; Falcone, Rino
Series: Multiagent Systems, Artificial Societies, and Simulated Organizations, International Book Series, 1568-2617 -- 7; Multiagent Systems, Artificial Societies, and Simulated Organizations, International Book Series -- 7.
Publisher: Springer US; Imprint; Springer
Published: 2003
Place of publication: Boston, MA
Language: eng
Format: [electronic resource] /
Number of pages: 296
ISBN-13: 9781441991980
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. <em>Agent Autonomy</em> 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.