Agent Autonomy

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.

Riassunto

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.

Dettagli sul prodotto

• Con la collaborazione di: Henry Hexmoor (Editore), Cristiano Castelfranchi (Editore), Rino Falcone (Editore), Cristian Castelfranchi (Editore)
• Editore: Springer, Berlin
• Contenuto: Libro
• Forma del prodotto: Tascabile
• Data pubblicazione: 02.08.2013
• Categoria: Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Informatica
• EAN: 9781461348337
• ISBN: 978-1-4613-4833-7
• Numero di pagine: 288
• Illustrazioni: VI, 288 p.
• Dimensioni (della confezione): 15.5 x 23.5 cm
• Peso (della confezione): 462 g
• Serie: Multiagent Systems, Artificial Societies, and Simulated Organizations > 07; Multiagent Systems, Artificial Societies, and Simulated Organizations
• Categorie: Framework, C, Character, Artificial Intelligence, computer science, Control, Interaction, Cooperation, Variable, Decision Making