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Creativity and Innovation = Cognitive, Social, and Computational Approaches /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Creativity and Innovation/ edited by Simona Doboli, Jared B. Kenworthy, Ali A. Minai, Paul B. Paulus.
Reminder of title:	Cognitive, Social, and Computational Approaches /
other author:	Doboli, Simona.
Description:	XIV, 274 p. 53 illus., 48 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Neural networks (Computer science) . -
Online resource:	https://doi.org/10.1007/978-3-030-77198-0
ISBN:	9783030771980

Creativity and Innovation = Cognitive, Social, and Computational Approaches /
Creativity and InnovationCognitive, Social, and Computational Approaches /[electronic resource] :edited by Simona Doboli, Jared B. Kenworthy, Ali A. Minai, Paul B. Paulus. - 1st ed. 2021. - XIV, 274 p. 53 illus., 48 illus. in color.online resource. - Understanding Complex Systems,1860-0840. - Understanding Complex Systems,.

Introduction to the Experimental Study of Creativity and Innovation -- Review: The Cognitive Neuroscience of Thought and Creativity -- Review: Computational Models of Creativity and Innovation -- Analysis and Modeling of Creativity in Engineering -- Innovation in Groups and Organizations -- Creativity in Design -- Neurodynamical Models of Conceptual Combination -- The Role of Networks in Creativity: Experiments and Models -- Constraints and Creativity -- Models of Creativity in Social Networks -- Idea Mining in Text and On-Line Corpora -- Lessons, Recommendations and Tools for Creativity.

This book focuses on the emergence of creative ideas from cognitive and social dynamics. In particular, it presents data, models, and analytical methods grounded in a network dynamics approach. It has long been hypothesized that innovation arises from a recombination of older ideas and concepts, but this has been studied primarily at an abstract level. In this book, we consider the networks underlying innovation – from the brain networks supporting semantic cognition to human networks such as brainstorming groups or individuals interacting through social networks – and relate the emergence of ideas to the structure and dynamics of these networks. Methods described include experimental studies with human participants, mathematical evaluation of novelty from group brainstorming experiments, neurodynamical modeling of conceptual combination, and multi-agent modeling of collective creativity. The main distinctive features of this book are the breadth of perspectives considered, the integration of experiments with theory, and a focus on the combinatorial emergence of ideas.

ISBN: 9783030771980

Standard No.: 10.1007/978-3-030-77198-0doiSubjects--Topical Terms:

1253765
Neural networks (Computer science) .

LC Class. No.: QA76.87

Dewey Class. No.: 519

Creativity and Innovation = Cognitive, Social, and Computational Approaches /
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520 $a This book focuses on the emergence of creative ideas from cognitive and social dynamics. In particular, it presents data, models, and analytical methods grounded in a network dynamics approach. It has long been hypothesized that innovation arises from a recombination of older ideas and concepts, but this has been studied primarily at an abstract level. In this book, we consider the networks underlying innovation – from the brain networks supporting semantic cognition to human networks such as brainstorming groups or individuals interacting through social networks – and relate the emergence of ideas to the structure and dynamics of these networks. Methods described include experimental studies with human participants, mathematical evaluation of novelty from group brainstorming experiments, neurodynamical modeling of conceptual combination, and multi-agent modeling of collective creativity. The main distinctive features of this book are the breadth of perspectives considered, the integration of experiments with theory, and a focus on the combinatorial emergence of ideas.
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