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Creativity and innovationcognitive, ...

Doboli, Simona.

Creativity and innovationcognitive, social, and computational approaches /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Creativity and innovationedited by Simona Doboli ... [et al.].
Reminder of title:	cognitive, social, and computational approaches /
other author:	Doboli, Simona.
Published:	Cham :Springer International Publishing :2021.
Description:	xiv, 274 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Creative abilitySocial aspects.
Online resource:	https://doi.org/10.1007/978-3-030-77198-0
ISBN:	9783030771980$q(electronic bk.)

Creativity and innovationcognitive, social, and computational approaches /
Creativity and innovationcognitive, social, and computational approaches /[electronic resource] :edited by Simona Doboli ... [et al.]. - Cham :Springer International Publishing :2021. - xiv, 274 p. :ill. (some col.), digital ;24 cm. - 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$q(electronic bk.)

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

202253
Creative ability
--Social aspects.

LC Class. No.: BF408 / .C74 2021

Dewey Class. No.: 153.35

Creativity and innovationcognitive, social, and computational approaches /
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260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a xiv, 274 p. : $b ill. (some col.), digital ; $c 24 cm.
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505 0 $a 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.
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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