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| Content Provider | Springer Nature Link |
|---|---|
| Author | Gatti, Nicola Giunta, Francesco |
| Copyright Year | 2007 |
| Abstract | In this paper we study multi issue alternating-offers bargaining in a perfect information finite horizon setting, we determine the pertinent subgame perfect equilibrium, and we provide an algorithm to compute it. The equilibrium is determined by making a novel use of backward induction together with convex programming techniques in multi issue settings. We show that the agents reach an agreement immediately and that such an agreement is Pareto efficient. Furthermore, we prove that, when the multi issue utility functions are linear, the problem of computing the equilibrium is tractable and the related complexity is polynomial with the number of issues and linear with the deadline of bargaining. |
| Ending Page | 271 |
| Page Count | 21 |
| Starting Page | 251 |
| File Format | |
| ISSN | 10122443 |
| e-ISSN | 15737470 |
| Journal | Annals of Mathematics and Artificial Intelligence |
| Issue Number | 3-4 |
| Volume Number | 47 |
| Language | English |
| Publisher | Kluwer Academic Publishers |
| Publisher Date | 2007-01-27 |
| Publisher Place | Dordrecht |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | automated negotiation 2-person games game theory Computer Science Artificial Intelligence (incl. Robotics) convex programming Mathematics Convex programming Games in extensive form multiagent systems Complexity |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Artificial Intelligence |
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