Local strategy learning in networked multi-agent team formation-Reference-Cited by-同舟云学术

Local strategy learning in networked multi-agent team formation

Published:2006-05-13 Issue:1 Volume:15 Page:29-45
ISSN:1387-2532
Container-title:Autonomous Agents and Multi-Agent Systems
language:en
Short-container-title:Auton Agent Multi-Agent Syst

Author:

Bulka Blazej,Gaston Matthew,desJardins Marie

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

http://link.springer.com/content/pdf/10.1007/s10458-006-0007-x.pdf

Reference29 articles.

1. Abdallah, S., & Lesser, V. (2004). Organization-based cooperative coalition formation. In: Proceedings of the IEEE/WIC/ACM international conference on intelligent agent technology (IAT).

2. Albert R. and Barabási A. (2002). Statistical mechanics of complex networks. Review of Modern Physics 99: 7314–7316

3. Bernstein D.S., Givan R., Immerman N. and Zilberstein S. (2002). The complexity of decentralized control of Markov decision processes. Mathematics of Operations Research 27: 819–840

4. Culler D., Estrin D. and Srivastava M. (2004). Overview of sensor networks. IEEE Computer 37: 41–19

5. Domingos P. and Pazzani M. (1997). On the optimality of the simple Bayesian classifier under zero-one loss. Machine Learning 29: 103–130

Cited by 20 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. A coalition formation framework of smallholder farmers in an agricultural cooperative;Expert Systems with Applications;2023-07

2. Consensus control of cooperation‐competition multi‐agent systems with round‐robin protocols: A set‐membership approach;International Journal of Robust and Nonlinear Control;2022-03-24

3. Transfer of resource allocation between overlapping and embedded communities in multiagent social networks;Knowledge-Based Systems;2021-08

4. Three-Dimensional Multi-Mission Planning of UAV Using Improved Ant Colony Optimization Algorithm Based on the Finite-Time Constraints;International Journal of Computational Intelligence Systems;2020

5. Understanding Crowdsourcing Systems from a Multiagent Perspective and Approach;ACM Transactions on Autonomous and Adaptive Systems;2018-06-30