A Comparative Study of Game Theoretic and Evolutionary Models of Bargaining for Software Agents-Reference-Cited by-同舟云学术

A Comparative Study of Game Theoretic and Evolutionary Models of Bargaining for Software Agents

Published:2005-04 Issue:2 Volume:23 Page:187-205
ISSN:0269-2821
Container-title:Artificial Intelligence Review
language:en
Short-container-title:Artif Intell Rev

Author:

Fatima Shaheen S.,Wooldridge Michael,Jennings Nicholas R.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics

Link

http://link.springer.com/content/pdf/10.1007/s10462-004-6391-1.pdf

Reference47 articles.

1. Auctions with Artificial Adaptive Agents

2. Anthony, P. Jennings, N. R. (2002). Evolving Bidding Strategies for Multiple Auctions. In Proceedings of the 15th European Conferenceon Artificial Intelligence (ECAI-2002) 178?182.

3. Evolutionary Stability in Alternating-Offers Bargaining Games

4. A model of learning and emulation with artificial adaptive agents

5. Adaptive Learning by Genetic Algorithms

Cited by 44 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Making sense of negotiation and AI: The blossoming of a new collaboration;Journal of Strategic Contracting and Negotiation;2024-09-12

2. Pareto Bid Estimation for Multi-Issue Bilateral Negotiation under User Preference Uncertainty;2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE);2021-07-11

3. Coalitions’ Weights in a Dispersed System with Pawlak Conflict Model;Group Decision and Negotiation;2020-04-11

4. Evolutionary game analysis of land income distribution in tourism development;Tourism Economics;2020-01-08

5. Multi-agent Reinforcement Learning for Bargaining under Risk and Asymmetric Information;Proceedings of the 12th International Conference on Agents and Artificial Intelligence;2020