Principles of Automated Negotiation

Top researchers investigate the main challenges and state of the art in automated negotiation and discuss potential applications.

Shaheen Fatima (Author), Sarit Kraus (Author), Michael Wooldridge (Author)

9781107002548, Cambridge University Press

Hardback, published 13 November 2014

289 pages, 40 b/w illus.
23.5 x 15.6 x 1.7 cm, 0.67 kg

With an increasing number of applications in the context of multi-agent systems, automated negotiation is a rapidly growing area. Written by top researchers in the field, this state-of-the-art treatment of the subject explores key issues involved in the design of negotiating agents, covering strategic, heuristic, and axiomatic approaches. The authors discuss the potential benefits of automated negotiation as well as the unique challenges it poses for computer scientists and for researchers in artificial intelligence. They also consider possible applications and give readers a feel for the types of domains where automated negotiation is already being deployed. This book is ideal for graduate students and researchers in computer science who are interested in multi-agent systems. It will also appeal to negotiation researchers from disciplines such as management and business studies, psychology and economics.

List of illustrations
Preface
Summary of key notation
1. Introduction
2. Games in normal form
3. Games in extensive form
4. Negotiation domains
5. Strategic analysis of single-issue negotiation
6. Strategic analysis of multi-issue negotiation
7. The negotiation agenda
8. Multilateral negotiations
9. Heuristic approaches
10. Man-machine negotiations
11. Axiomatic analysis of negotiation
12. Applications
13. Related topics
14. Concluding remarks
Appendix A. Proofs
References
Index.

Subject Areas: Machine learning [UYQM], Natural language & machine translation [UYQL], Artificial intelligence [UYQ], Programming & scripting languages: general [UMX]