Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Thinking in complexity: the complex dynamics of matter, mind, and mankind
Thinking in complexity: the complex dynamics of matter, mind, and mankind
Hidden order: how adaptation builds complexity
Hidden order: how adaptation builds complexity
Modeling agents as qualitative decision makers
Artificial Intelligence - Special issue on economic principles of multi-agent systems
Emergence: from chaos to order
Emergence: from chaos to order
Complexity
Elements of the Theory of Computation
Elements of the Theory of Computation
Artificial Life
Artificial Life II
A Genetic Algorithm Discovers Particle-Based Computation in Cellular Automata
PPSN III Proceedings of the International Conference on Evolutionary Computation. The Third Conference on Parallel Problem Solving from Nature: Parallel Problem Solving from Nature
Organizations As Adaptive Systems in Complex Environments: the Case of China
Organization Science
Real-time computation at the edge of chaos in recurrent neural networks
Neural Computation
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This paper focuses on the decision-making behavior based on the complex adaptive system. Firstly, the paper reviewed the related work of the complex adaptive system and the edge of chaos in complex systems in different fields. Secondly, a general decision model of an agent is established and the condition that an agent is just at the edge of chaos is defined. Thirdly, making use of Langton's coefficient widely used in the research on cellular automata, the paper defines the edge of chaos that describes the decision behavior of agent. Finally, the paper conducts an evolutionary artificial life experiment. Then the connection between the behavior at the edge of chaos and the individual adaptability is illustrated.