Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
Introduction to Probability and Statistics: Principles and Applications for Engineering and the Computing Sciences
Self-Organization in Biological Systems
Self-Organization in Biological Systems
The Complexity of Decentralized Control of Markov Decision Processes
Mathematics of Operations Research
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
Evolving mobile robots able to display collective behaviors
Artificial Life
Self-organization in multi-agent systems
The Knowledge Engineering Review
Towards autonomous mobile agents with emergent migration behaviour
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation)
Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation)
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Cyber-security management is of central importance in financial, business, and military environments. Thus, we propose an effective and efficient self organized entangled hierarchial architecture of multiple agents that decentralizes network security control and communication. Considering the Cyberspace container model, the self organized multi-agent swarms are evolved based on partially observable Markov decision process formal models. Desired network security swarm behaviors are defined and formalized to interact with these models. The "optimal" policy (agent rules and parameters) for a given behavior is evolved using a multi-objective evolutionary algorithm. Swarm effectiveness is compared in various network security scenarios using statistical testing techniques and visualization.