Computer Models of Creativity
TLDR
The authors have the beginnings of a scientific understanding of creativity, an aspect of normal human intelligence not a special faculty granted to a tiny elite, and AI techniques underlie various types of computer art.Abstract:
Creativity isn’t magical. It’s an aspect of normal human intelligence, not a special faculty granted to a tiny elite. There are three forms: combinational, exploratory, and transformational. All three can be modeled by AI—in some cases, with impressive results. AI techniques underlie various types of computer art. Whether computers could “really” be creative isn’t a scientific question but a philosophical one, to which there’s no clear answer. But we do have the beginnings of a scientific understanding of creativity.read more
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Wisdom, Intelligence, and Creativity Synthesized
TL;DR: In this article, the relations among intelligence, creativity, and wisdom are discussed, and the investment theory of creativity as a decision is proposed. And the balance theory of wisdom is presented.
Journal ArticleDOI
A propulsion model of types of creative contributions.
TL;DR: In this article, a propulsion model characterizing seven different types of creative contributions in any domain is proposed, and four of these types of creativity accept current paradigms of work; three of the types...
Book ChapterDOI
Recognizing, defining, and representing problems.
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Journal ArticleDOI
AI methods in algorithmic composition: a comprehensive survey
TL;DR: Algorithmic composition is the partial or total automation of the process of music composition by using computers as discussed by the authors, which can be classified into three main categories: partial or complete automation, automation, and complete automation.
References
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Some studies in machine learning using the game of checkers
TL;DR: In this article, two machine learning procedures have been investigated in some detail using the game of checkers, and enough work has been done to verify the fact that a computer can be programmed so that it will lear...
BookDOI
The creative mind: myths and mechanisms
TL;DR: The second edition of The Creative Mind has been updated to include recent developments in artificial intelligence, with a new preface, introduction and conclusion by the author as discussed by the authors, which is an essential work for anyone interested in the creativity of the human mind.
Journal ArticleDOI
Some studies in machine learning using the game of checkers
TL;DR: Enough work has been done to verify the fact that a computer can be programmed so that it will learn to play a better game of checkers than can be played by the person who wrote the program.
Journal ArticleDOI
A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence, August 31, 1955
TL;DR: The 1956 Dartmouth summer research project on artificial intelligence was initiated by this August 31, 1955 proposal, authored by John McCarthy, Marvin Minsky, Nathaniel Rochester, and Claude Shannon, along with the short autobiographical statements of the proposers.
Journal ArticleDOI
Co-evolving parasites improve simulated evolution as an optimization procedure
TL;DR: In this paper, an example of how simulated evolution can be applied to a practical optimization problem, and more specifically, how the addition of co-evolving parasites can improve the procedure by preventing the system from sticking at local maxima.