Titlebook: Network-Oriented Modeling; Addressing Complexit Jan Treur Book 2016 Springer International Publishing Switzerland 2016 Approximating joint-

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Where Is This Goingere is something wrong in the implementation of the model. In this chapter some methods to analyse such properties of adaptive temporal-causal network models will be described and illustrated for a simple example model, for Hebbian learning, and for adaptive network models for evolving social intera

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978-3-319-83240-1Springer International Publishing Switzerland 2016

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Network-Oriented Modeling978-3-319-45213-5Series ISSN 1860-0832 Series E-ISSN 1860-0840

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https://doi.org/10.1007/978-3-319-45213-5Approximating joint-decision processes; Arftifical Intelligence modelling; Cognitive science modelling

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Jan TreurProvides a generic, unified approach to Network-Oriented Modeling.Addresses the dynamics and adaptive aspects of causal relations by means of adaptive temporal-causal networks.Makes it easy to incorpo

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Network-Oriented Modeling and Its Conceptual Foundationsl processes and their interactions. Are there better alternative strategies to address human complexity? This is discussed in this chapter, and it is pointed out that a Network-Oriented Modeling perspective can be considered an alternative way to address complexity, which is better suited for modeling human and social processes.