Cognition and the Creative Machine: Cognitive AI for Creative Problem Solving

by Ana-Maria Olte?eanu

Overview

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.

Product Details

ISBN-13:	9783030303242
Publisher:	Springer International Publishing
Publication date:	05/24/2020
Edition description:	1st ed. 2020
Pages:	282
Product dimensions:	6.10(w) x 9.25(h) x (d)

Table of Contents

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.

Editorial Reviews

This book enhances our understanding of the principles of problem solving in the epoch of AI and deserves to be widely read in this age of intelligent machines. The CreaCogs cognitive framework proposed here could be served as an applicable guide for graduate students and researchers in the sphere of Cognitive Science, AI, and Education.” (Zhihui Chen and Ruixing Ye, Science & Education, Vol. 31 (2), April, 2022)

From the Publisher