Cantitate/Preț
Produs

Trusting Agents for Trusting Electronic Societies

Editat de Rino Falcone, Suzanne Barber, Jordi Sabater-Mir, Munindar Singh
en Limba Engleză Paperback – 20 iul 2005
Based on two international workshops on trust in agent societies, held at AAMAS 2003 and AAMAS 2004, this book draws together carefully revised papers on trust, reputation, and security in agent society. Besides workshop papers, several contributions from leading researchers in this interdisciplinary field were solicited to complete coverage of all relevant topics.
The 13 papers presented take into account issues from multiagent systems, artificial intelligence, cognitive science, game theory, and social and organizational science. Theoretical topics are addressed as well as applications in human-computer interaction and e-commerce.
Citește tot Restrânge

Preț: 31851 lei

Preț vechi: 39815 lei
-20% Nou

Puncte Express: 478

Preț estimativ în valută:
5636 6609$ 4950£

Carte tipărită la comandă

Livrare economică 04-18 februarie 26

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783540280125
ISBN-10: 354028012X
Pagini: 248
Ilustrații: VIII, 235 p.
Dimensiuni: 155 x 235 x 14 mm
Greutate: 0.38 kg
Ediția:2005
Editura: Springer
Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

Normative Multiagent Systems and Trust Dynamics.- Toward Trustworthy Adjustable Autonomy in KAoS.- Contract Nets for Evaluating Agent Trustworthiness.- The EigenRumor Algorithm for Calculating Contributions in Cyberspace Communities.- A Temporal Policy for Trusting Information.- A Design Foundation for a Trust-Modeling Experimental Testbed.- Decentralized Reputation-Based Trust for Assessing Agent Reliability Under Aggregate Feedback.- A Trust Analysis Methodology for Pervasive Computing Systems.- Decentralized Monitoring of Agent Communications with a Reputation Model.- A Security Infrastructure for Trust Management in Multi-agent Systems.- Why Trust Is Hard – Challenges in e-Mediated Services.- A Protocol for a Distributed Recommender System.- Temptation and Contribution in C2C Transactions: Implications for Designing Reputation Management Systems.