Complexity - Complex Adaptive systems: Part I
Characterizing Web Usage Regularities with Information Foraging Agents
IEEE Transactions on Knowledge and Data Engineering
Modeling and Simulating the Dynamics of Service Agent Networks
IAT '05 Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology
Autonomy Oriented Computing: From Problem Solving to Complex Systems Modeling
Autonomy Oriented Computing: From Problem Solving to Complex Systems Modeling
Autonomy-oriented computing (AOC): formulating computational systems with autonomous components
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Discovering the Dynamics in a Social Memory Network
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
The Network Game: Analyzing Network-Formation and Interaction Strategies in Tandem
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 02
Complex open-system design by quasi-agents: process-oriented modeling in agent-based systems
ACM SIGSOFT Software Engineering Notes
Incentivizing connectivity in structured Peer-to-Peer systems
Web Intelligence and Agent Systems
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A social network can be modelled by a multi-agent system, in which the interaction among agents is represented as a service transaction process. In this paper, we present a service-based agent network to simulate and study the dynamics of social networks. In the network, the profiles of agents and service-based interactions are defined deliberately. Autonomy is emphasized as the ability of agents to manage their behaviors according to the local environment and their profiles. The experimental results reveal that network performance, network topology and the profiles of agents all evolve along with local behaviors. The over-shoot phenomenon in the evolution of network is discovered and analyzed. The discoveries are meaningful for understanding the relationship between network dynamics and local behaviors.