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British historian and philosopher From Wikipedia, the free encyclopedia
Donald Angus Gillies (/ˈɡɪliːz/; born 4 May 1944) is a British philosopher and historian of science and mathematics. He is an Emeritus Professor in the Department of Science and Technology Studies at University College London.
Donald A. Gillies | |
---|---|
Born | 4 May 1944 |
Alma mater | Cambridge University London School of Economics |
Era | Contemporary philosophy |
Region | Western philosophy |
School | Analytic |
Institutions | University College London |
Thesis | A critique of von Mises' theory of probability (1970) |
Doctoral advisor | Imre Lakatos |
Other academic advisors | Karl Popper |
Doctoral students | David Corfield |
Main interests | Philosophy of mathematics Philosophy of artificial intelligence |
Notable ideas | Non-Bayesian confirmation theory |
After undergraduate studies in mathematics and philosophy at Cambridge, Gillies became a graduate student of Karl Popper and Imre Lakatos (his official PhD supervisor) at the London School of Economics, where he completed a PhD on the foundations of probability.[1]
Gilles is a past President[1] and a current Vice-President[2] of British Society for the Philosophy of Science. From 1982 to 1985 he was an editor of the British Journal for the Philosophy of Science.[1]
Gillies is probably best known for his work on Bayesian confirmation theory, his attempt to simplify and extend Popper’s theory of corroboration. He proposes a novel "principle of explanatory surplus", likening a successful theoretician to a successful entrepreneur. The entrepreneur generates a surplus (of income) over and above his initial investment (the outgoes) to meet the necessary expenses of the enterprise. Similarly, the theoretician generates a surplus (of explanations) over and above his initial investment (of assumptions) to make the necessary explanations of known facts. The size of this surplus is held to be a measure of the confirmation of the theory, but only in qualitative, rather than quantitative, terms.
Gillies has researched the philosophy of science, most particularly the foundations of probability; the philosophy of logic and mathematics; and the interactions of artificial intelligence with some aspects of philosophy, including probability, logic, causality and scientific method. In the philosophy of mathematics, he has developed a method of dealing with very large transfinite cardinals from an Aristotelian point of view.[3]
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