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Titlebook: Complex Systems in Knowledge-based Environments: Theory, Models and Applications; Andreas Tolk,Lakhmi C. Jain Book 2009 Springer-Verlag Be

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Ontology Driven Data Integration in Heterogeneous Networks,ppings based on a common vocabulary. Metadata representation, global conceptualization, declarative mediation, mapping support, and query processing are addressed in detail in our discussion of a case study.
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A Layered Approach to Composition and Interoperation in Complex Systems,he Levels of Conceptual Interoperability Model is used as the basis for the engineering methods. Several current solutions to support complex systems in knowledge-based environments are evaluated and compared.
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Uncertainty Representation and Reasoning in Complex Systems,le 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 exh
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Principles for Effectively Representing Heterogeneous Populations in Multi-agent Simulations,y that they can support policy development. Within these models the way in which the agents are modeled and the fidelity of the system are critical. Basic principles guiding the development and use of these models to support policy development are described.
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