Second Generation General System Theory: Perspectives in Philosophy and Approaches in Complex Systems

Following the classical work of Norbert Wiener, Ross Ashby, Ludwig von Bertalanffy and many others, the concept of System has been elaborated in different disciplinary fields, allowing interdisciplinary approaches in areas such as Physics, Biology, Chemistry, Cognitive Science, Economics, Engineerin...

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Bibliographic Details
Main Author: Gianfranco Minati (auth)
Other Authors: Eliano Pessa (auth), Ignazio Licata (auth)
Format: Electronic Book Chapter
Language:English
Published: MDPI - Multidisciplinary Digital Publishing Institute
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DOAB: description of the publication
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520 |a Following the classical work of Norbert Wiener, Ross Ashby, Ludwig von Bertalanffy and many others, the concept of System has been elaborated in different disciplinary fields, allowing interdisciplinary approaches in areas such as Physics, Biology, Chemistry, Cognitive Science, Economics, Engineering, Social Sciences, Mathematics, Medicine, Artificial Intelligence, and Philosophy. The new challenge of Complexity and Emergence has made the concept of System even more relevant to the study of problems with high contextuality. This Special Issue focuses on the nature of new problems arising from the study and modelling of complexity, their eventual common aspects, properties and approaches-already partially considered by different disciplines-as well as focusing on new, possibly unitary, theoretical frameworks. This Special Issue aims to introduce fresh impetus into systems research when the possible detection and correction of mistakes require the development of new knowledge. This book contains contributions presenting new approaches and results, problems and proposals. The context is an interdisciplinary framework dealing, in order, with electronic engineering problems; the problem of the observer; transdisciplinarity; problems of organised complexity; theoretical incompleteness; design of digital systems in a user-centred way; reaction networks as a framework for systems modelling; emergence of a stable system in reaction networks; emergence at the fundamental systems level; behavioural realization of memoryless functions. 
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546 |a English 
653 |a Uncertainty 
653 |a Noise 
653 |a Memory Less Functions 
653 |a Self-Organisation 
653 |a Complexity 
653 |a Design 
653 |a Meta-Structures 
653 |a Scale Invariance 
653 |a Organisations 
653 |a Quantum-Like Systems 
653 |a Emergence 
653 |a Observer 
653 |a Cybernetic Approach 
653 |a Power Laws 
653 |a Reaction Networks 
653 |a Simulations 
653 |a Uniqueness 
653 |a Irreversibility 
653 |a Systems 
653 |a Incompleteness 
653 |a Computation 
653 |a Non-Linearity 
653 |a Coherence 
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