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: |
31 March 2003 |
| Publisher: |
Springer US |
| Imprint: |
Springer |
| ISBN-13: |
9781402074028 |
| Format: |
Hardback |
| Page Count: |
288 |