Graduate studies at Western
Perspectives on Science 16 (2):pp. 121-136 (2008)
|Abstract||Ever since 1956 when details of the Logic Theorist were published by Newell and Simon, a large literature has accumulated on computational models and theories of the creative process, especially in science, invention and design. But what exactly do these computational models/theories tell us about the way that humans have actually conducted acts of creation in the past? What light has computation shed on our understanding of the creative process? Addressing these questions, we put forth three propositions: (I) Computational models of the creative process are fundamentally flawed as theories of human creativity. Rather, the universal power of computational models lies elsewhere: (II) Computational models of particular acts of creation can serve as effective experiments to test universal hypotheses about creative processes and mechanisms; and (III) Computation-based architectures of the creative mind provide metaphorical frameworks that, like all good metaphors, can serve as rich sources of insight into aspects of the creative process. In this paper, we provide evidence for these three propositions by drawing upon some particular episodes in the cognitive history of science, technology, and art.|
|Keywords||No keywords specified (fix it)|
|Categories||categorize this paper)|
|Through your library||Configure|
Similar books and articles
Mark Riedl (2010). Story Planning: Creativity Through Exploration, Retrieval, and Analogical Transformation. [REVIEW] Minds and Machines 20 (4):589-614.
Gualtiero Piccinini (2006). Computational Explanation in Neuroscience. Synthese 153 (3):343-353.
Lorenzo Magnani (2006). Symposium on “Cognition and Rationality: Part I” The Rationality of Scientific Discovery: Abductive Reasoning and Epistemic Mediators. [REVIEW] Mind and Society 5 (2):213-228.
David J. Buller (1993). Confirmation and the Computational Paradigm, or, Why Do You Think They Call It Artificial Intelligence? [REVIEW] Minds and Machines 3 (2):155-81.
Sashank Varma (2011). Criteria for the Design and Evaluation of Cognitive Architectures. Cognitive Science 35 (7):1329-1351.
Ron Sun (ed.) (2008). The Cambridge Handbook of Computational Psychology. Cambridge University Press.
David Michael Kaplan (2011). Explanation and Description in Computational Neuroscience. Synthese 183 (3):339-373.
Paul Thagard (1986). Computational Models in the Philosophy of Science. PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1986:329 - 335.
Added to index2009-01-28
Total downloads18 ( #74,653 of 738,370 )
Recent downloads (6 months)1 ( #61,778 of 738,370 )
How can I increase my downloads?