Abstract
The rapid expansion of corporate computer networks, the rise of the World Wide Web (WWW), and exploding computational power are some of the most visible innovations shaping our increasingly knowledge-based society. The growing demand for interconnectivity and interoperability gives rise to systems of ever-greater complexity. These include systems of systems, whose subsystems are systems in their own right, often geographically distributed and exhibiting ownership and/or managerial independence. Along with the increasing complexity of systems comes a growing demand for systems that act intelligently and adaptively in response to their environments. There is a need for systems that can process incomplete, uncertain and ambiguous information, and can learn and adapt to environments that require interoperating with other intelligent, adaptive complex systems.
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Laskey, K.B., Costa, P.C.G. (2009). Uncertainty Representation and Reasoning in Complex Systems. In: Tolk, A., Jain, L.C. (eds) Complex Systems in Knowledge-based Environments: Theory, Models and Applications. Studies in Computational Intelligence, vol 168. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88075-2_2
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DOI: https://doi.org/10.1007/978-3-540-88075-2_2
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