Cognition and the Creative Machine
Cognitive AI for Creative Problem Solving
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Beschreibung
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.
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.
Examines creativity, problem-solving, cognition, and computational creative systems Author describes prototype systems implemented and computational and empirical experiments conducted Interesting for researchers and graduate students in the areas of artificial intelligence, creativity, and psychology
Autor*in
Ana-Maria Oltețeanu
Themen in »Cognition and the Creative Machine«
Creative Problem-Solving Cognitive Systems Human Creativity Computational Creativity Computational Modeling Cognitive Science
Stimmen zu »Cognition and the Creative Machine«
“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)
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