Coalition, cryptography, and stability: mechanisms for coalition formation in task oriented domains
AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
Reflections on the Nature of Multi-Agent Coordination and Its Implications for an Agent Architecture
Autonomous Agents and Multi-Agent Systems
Coalition formation with uncertain heterogeneous information
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Organization-Based Cooperative Coalition Formation
IAT '04 Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology
Agent-organized networks for dynamic team formation
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Influence of social relationships on multiagent persuasion
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 3
Methods for task allocation via agent coalition formation
Artificial Intelligence
MMAS'04 Proceedings of the First international conference on Massively Multi-Agent Systems
Agent-based simulation for large-scale emergency response: A survey of usage and implementation
ACM Computing Surveys (CSUR)
A defence scheme against Identity Theft Attack based on multiple social networks
Expert Systems with Applications: An International Journal
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Identifying collaborative projects and forming coalitions for those collaborative projects are important means of coordination for humanitarian relief non-governmental organizations (NGOs). Our previous work revealed that an NGO's evaluation of candidate collaborative projects and subsequent decisions on forming coalitions are influenced by evaluations done by their peers in the NGO network. Based on a social influence model, we propose a formal model to simulate this type of influence for NGO coordination in a network setting. This model incorporates network topology, organization size of NGOs and strength of ties as network influence factors. It will be used to inform the future development of an agent-based simulation for NGOs' coordination in humanitarian relief.