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Cognition and the Creative Machine =...
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SpringerLink (Online service)
Cognition and the Creative Machine = Cognitive AI for Creative Problem Solving /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Cognition and the Creative Machine/ by Ana-Maria Oltețeanu.
Reminder of title:
Cognitive AI for Creative Problem Solving /
Author:
Oltețeanu, Ana-Maria.
Description:
XIV, 282 p.online resource. :
Contained By:
Springer Nature eBook
Subject:
Artificial intelligence. -
Online resource:
https://doi.org/10.1007/978-3-030-30322-8
ISBN:
9783030303228
Cognition and the Creative Machine = Cognitive AI for Creative Problem Solving /
Oltețeanu, Ana-Maria.
Cognition and the Creative Machine
Cognitive AI for Creative Problem Solving /[electronic resource] :by Ana-Maria Oltețeanu. - 1st ed. 2020. - XIV, 282 p.online resource.
Introduction -- Part I, Rebraiding the Strands: Creativity and Problem-Solving, Human and Computational -- Creativity, Problem-Solving and Insight -- Knowledge Organization for Creative Problem-Solving -- Computational Creativity and Systems -- Two Types of Evaluation: Human Creativity, Computational Creativity -- Part II, One Ring to Creatively Solve Them All? In Search of a Unified Framework -- Gathering the Cogs of a Framework -- CreaCogs: A Clockwork View of Creativity -- The Cogs in Motion: Navigating the Knowledge in CreaCogs -- Part III, Empirical and Computational Explorations -- What Do Swiss, Cake and Cottage Have in Common? Computational Explorations of the Remote Associates Test -- What Could You Use this Object for? Object Replacement and Object Composition in a Computational System,and the Alternative Uses Test -- Daily Eurekas About Candles and Strings. Approaching Insight with Practical Insight Problems -- The Journey Thus Far and the Journey Ahead -- App. A: Human and System Answers to Variants of the Remote Associates Test -- App, B: OROC Results.
How would you assemble a machine that can be creative, what would its cogs be? Starting from how humans do creative problem solving, the author has developed a framework to explore whether a diverse set of creative problem-solving tasks can be solved computationally using a unified set of principles. In this book she describes the implementation of related prototype AI systems, and the computational and empirical experiments conducted. The book will be of interest to researchers, graduate students, and laypeople engaged with ideas in artificial intelligence, cognitive science, and creativity.
ISBN: 9783030303228
Standard No.: 10.1007/978-3-030-30322-8doiSubjects--Topical Terms:
559380
Artificial intelligence.
LC Class. No.: Q334-342
Dewey Class. No.: 006.3
Cognition and the Creative Machine = Cognitive AI for Creative Problem Solving /
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Introduction -- Part I, Rebraiding the Strands: Creativity and Problem-Solving, Human and Computational -- Creativity, Problem-Solving and Insight -- Knowledge Organization for Creative Problem-Solving -- Computational Creativity and Systems -- Two Types of Evaluation: Human Creativity, Computational Creativity -- Part II, One Ring to Creatively Solve Them All? In Search of a Unified Framework -- Gathering the Cogs of a Framework -- CreaCogs: A Clockwork View of Creativity -- The Cogs in Motion: Navigating the Knowledge in CreaCogs -- Part III, Empirical and Computational Explorations -- What Do Swiss, Cake and Cottage Have in Common? Computational Explorations of the Remote Associates Test -- What Could You Use this Object for? Object Replacement and Object Composition in a Computational System,and the Alternative Uses Test -- Daily Eurekas About Candles and Strings. Approaching Insight with Practical Insight Problems -- The Journey Thus Far and the Journey Ahead -- App. A: Human and System Answers to Variants of the Remote Associates Test -- App, B: OROC Results.
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How would you assemble a machine that can be creative, what would its cogs be? Starting from how humans do creative problem solving, the author has developed a framework to explore whether a diverse set of creative problem-solving tasks can be solved computationally using a unified set of principles. In this book she describes the implementation of related prototype AI systems, and the computational and empirical experiments conducted. The book will be of interest to researchers, graduate students, and laypeople engaged with ideas in artificial intelligence, cognitive science, and creativity.
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