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Titlebook: Emergence in Complex, Cognitive, Social, and Biological Systems; Gianfranco Minati,Eliano Pessa Book 2002 Springer Science+Business Media

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书目名称Emergence in Complex, Cognitive, Social, and Biological Systems
编辑Gianfranco Minati,Eliano Pessa
视频video
图书封面Titlebook: Emergence in Complex, Cognitive, Social, and Biological Systems;  Gianfranco Minati,Eliano Pessa Book 2002 Springer Science+Business Media
描述The systems movement is made up of many systems societies as well as of disciplinary researchers and researches, explicitly or implicitly focusing on the subject of systemics, officially introduced in the scientific community fifty years ago. Many researches in different fields have been and continue to be sources of new ideas and challenges for the systems community. To this regard, a very important topic is the one of EMERGENCE. Between the goals for the actual and future systems scientists there is certainly the definition of a general theory of emergence and the building of a general model of it. The Italian Systems Society, Associazione Italiana per la Ricerca sui Sistemi (AIRS), decided to devote its Second National Conference to this subject. Because AIRS is organized under the form of a network of researchers, institutions, scholars, professionals, and teachers, its research activity has an impact at different levels and in different ways. Thus the topic of emergence was not only the focus of this conference but it is actually the main subject of many AIRS activities.
出版日期Book 2002
关键词Analysis; Usability; automata; complex system; complex systems; data structures; knowledge management; lear
版次1
doihttps://doi.org/10.1007/978-1-4615-0753-6
isbn_softcover978-1-4613-5224-2
isbn_ebook978-1-4615-0753-6
copyrightSpringer Science+Business Media New York 2002
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https://doi.org/10.1007/978-981-99-0275-0., i.e. meaning recalling entities, associated to a set of . for their manipulation. However, the nature of both communication and symbols as well as the nature of their manipulation processes isn’t still clearly understood.
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https://doi.org/10.1007/978-3-642-13621-4ence on Spatial Cognition 2000 (.). The underlying idea for the perturbative neural network (PNN) has been suggested by the observation that some synaptic weights of visual system can be interpreted as eigenvectors of a suitable hermitian matrix, which turns out to be the correlation matrix of input vectors.
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Model-Driven Design Using IEC 61499itial impetus has slowed down and developments of some importance are hard to be found, despite the frantic search for a “unifying theory” and the enormous effort to widen the application field of the existing theories.
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