Organizational response: the cost performance tradeoff
Management Science
Dynamics of complex systems
The Structure and Dynamics of Networks: (Princeton Studies in Complexity)
The Structure and Dynamics of Networks: (Princeton Studies in Complexity)
Complex Adaptive Systems: An Introduction to Computational Models of Social Life (Princeton Studies in Complexity)
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This paper attempts to bring together methods and tools across three selected areas of Computational Intelligence pertaining to complex systems: dynamical networks, statistical machine learning, and multi-agent technologies. The paper begins with a discussion of computational challenges arising from growing complexity in modern operating environments. Then the discussion proceeds to an overview of intelligent tools that can be used to address these challenges. The emphasis is given to dynamical networks as the means for consolidating ideas and approaches. An illustrative example shows how the network-based tools can be used to model complex socio-technical systems, to identify hidden interdependencies among their components, and to explore their vulnerabilities in simulations.