Dynamic team forming in self-interested multi-agent systems

Authors:
Quan Bai;Minjie Zhang
Affiliations:
School of Information Technology and Computer Science, University of Wollongong, Wollongong, NSW, Australia;School of Information Technology and Computer Science, University of Wollongong, Wollongong, NSW, Australia
Venue:
AI'05 Proceedings of the 18th Australian Joint conference on Advances in Artificial Intelligence
Year:
2005

Citing 9
Cited 1

Multiagent systems and societies of agents

Multiagent systems
A formal model of open agent societies

Proceedings of the fifth international conference on Autonomous agents
Cooperative Multiagent Systems: A Personal View of the State of the Art

IEEE Transactions on Knowledge and Data Engineering
An Introduction to Congregating in Multiagent Systems

ICMAS '00 Proceedings of the Fourth International Conference on MultiAgent Systems (ICMAS-2000)
Organization-Based Cooperative Coalition Formation

IAT '04 Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology
A survey of multi-agent organizational paradigms

The Knowledge Engineering Review
Towards flexible teamwork

Journal of Artificial Intelligence Research
Methods for task allocation via agent coalition formation

Artificial Intelligence
Agent architectures for flexible, practical teamwork

AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence

Multi-agent based classification using argumentation from experience

Autonomous Agents and Multi-Agent Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

As social entities, intelligent agents need to collaborate with others, regardless of whether they are cooperative or self-interested. The durations of agent collaborations can be long-term or “one-shot”. Nowadays, many multi-agent system applications require the system to work in open and dynamic domains. In such dynamic environments, how long collaboration should be kept among particular agents are always a problem to be discussed. In this paper, we focus on general self-interested multi-agent systems and analyze the advantages and disadvantages that can be brought by one-shot teams and long-term teams. Furthermore, we present a mechanism that can enable agents to form teams with reasonable terms and objects.