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Systems Sciences and Cognitive Systems

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Polystochastic Models for Complexity

Part of the book series: Understanding Complex Systems ((UCS))

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Abstract

The evolvable multi-scale engineering design is presented in correlation with general design theory. The role of meta-models for evolvable and creative conceptual design is emphasized.

The potential of active cases base reasoning systems and their interaction with designs of experiments is evaluated.

Evolvable diagnosis strategies for failure analysis and security purposes are proposed.

Manufacturing systems developments from fixed to flexible, reconfigurable and lastly evolvable with reference to assembly operations are presented. Multiple-scale agent architectures based on cognitive science studies allows integrative closure and autonomy.

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Authors
  1. Octavian Iordache
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Iordache, O. (2010). Systems Sciences and Cognitive Systems. In: Polystochastic Models for Complexity. Understanding Complex Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10654-5_5

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