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Author: Earl B. Hunt Publisher: ISBN: Category : Artificial intelligence Languages : en Pages : 272
Book Description
This book describes an interdisciplinary research project in which computer programs were used to simulate and, in a sense, replace human problem solvers. The research had a dual: to learn more about how people solve complex learning problems and to observe the performance of different varieties of a general learning automaton designed to solve inductive problems which require some learning on the part of the problem solver.
Author: Earl B. Hunt Publisher: ISBN: Category : Artificial intelligence Languages : en Pages : 272
Book Description
This book describes an interdisciplinary research project in which computer programs were used to simulate and, in a sense, replace human problem solvers. The research had a dual: to learn more about how people solve complex learning problems and to observe the performance of different varieties of a general learning automaton designed to solve inductive problems which require some learning on the part of the problem solver.
Author: Harry Collins Publisher: University of Chicago Press ISBN: 0226113760 Category : Social Science Languages : en Pages : 211
Book Description
This fascinating study in the sociology of science explores the way scientists conduct, and draw conclusions from, their experiments. The book is organized around three case studies: replication of the TEA-laser, detecting gravitational rotation, and some experiments in the paranormal. "In his superb book, Collins shows why the quest for certainty is disappointed. He shows that standards of replication are, of course, social, and that there is consequently no outside standard, no Archimedean point beyond society from which we can lever the intellects of our fellows."—Donald M. McCloskey, Journal of Economic Psychology "Collins is one of the genuine innovators of the sociology of scientific knowledge. . . . Changing Order is a rich and entertaining book."—Isis "The book gives a vivid sense of the contingent nature of research and is generally a good read."—Augustine Brannigan, Nature "This provocative book is a review of [Collins's] work, and an attempt to explain how scientists fit experimental results into pictures of the world. . . . A promising start for new explorations of our image of science, too often presented as infallibly authoritative."—Jon Turney, New Scientist
Author: David Harriman Publisher: Penguin ISBN: 1101659971 Category : Philosophy Languages : en Pages : 350
Book Description
A groundbreaking solution to the problem of induction, based on Ayn Rand's theory of concepts. Inspired by and expanding on a series of lectures presented by Leonard Peikoff, David Harriman presents a fascinating answer to the problem of induction-the epistemological question of how we can know the truth of inductive generalizations. Ayn Rand presented her revolutionary theory of concepts in her book Introduction to Objectivist Epistemology. As Dr. Peikoff subsequently explored the concept of induction, he sought out David Harriman, a physicist who had taught philosophy, for his expert knowledge of the scientific discovery process. Here, Harriman presents the result of a collaboration between scientist and philosopher. Beginning with a detailed discussion of the role of mathematics and experimentation in validating generalizations in physics-looking closely at the reasoning of scientists such as Galileo, Kepler, Newton, Lavoisier, and Maxwell-Harriman skillfully argues that the inductive method used in philosophy is in principle indistinguishable from the method used in physics.
Author: John D. Norton Publisher: Bsps Open ISBN: 9781773852539 Category : Philosophy Languages : en Pages : 0
Book Description
"The inaugural title in the new, Open Access series BSPS Open, The Material Theory of Induction will initiate a new tradition in the analysis of inductive inference. The fundamental burden of a theory of inductive inference is to determine which are the good inductive inferences or relations of inductive support and why it is that they are so. The traditional approach is modeled on that taken in accounts of deductive inference. It seeks universally applicable schemas or rules or a single formal device, such as the probability calculus. After millennia of halting efforts, none of these approaches has been unequivocally successful and debates between approaches persist. The Material Theory of Induction identifies the source of these enduring problems in the assumption taken at the outset: that inductive inference can be accommodated by a single formal account with universal applicability. Instead, it argues that that there is no single, universally applicable formal account. Rather, each domain has an inductive logic native to it. Which that is, and its extent, is determined by the facts prevailing in that domain. Paying close attention to how inductive inference is conducted in science and copiously illustrated with real-world examples, The Material Theory of Induction will initiate a new tradition in the analysis of inductive inference."--
Author: Earl B. Hunt
Author: Earl B. Hunt
Author: Harry Collins
Author: Charles Grafton Page
Author: David Harriman
Author: Brian Bruya
Author: Peter Brian Medawar
Author: Benjamin Franklin
Author: 
Author: John D. Norton
Author: Sir John Ambrose Fleming