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The book deals with the notion of Downward Causation from a wide array of perspectives, including physics, biology, psychology, social science, communication studies, text theory, and philosophy. The book includes proponents as well as opponents discussing the validity of the notion. |
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What is the biological reason for gossip? For laughter? For the creation of art? Why do dogs have curly tails? What can microbes tell us about morality? These and many other questions are tackled by renowned evolutionist David Sloan Wilson in this witty and groundbreaking new book. With stories that entertain as much as they inform, Wilson outlines the basic principles of evolution and shows how, properly understood, they can illuminate the length and breadth of creation, from the origin of (...) |
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"The philosophy of mind is unique among contemporary philosophical subjects," writes John Searle, "in that all of the most famous and influential theories are false." In Mind, Searle dismantles these famous and influential theories as he presents a vividly written, comprehensive introduction to the mind. Here readers will find one of the world's most eminent thinkers shedding light on the central concern of modern philosophy. Searle begins with a look at the twelve problems of philosophy of mind--which he calls "Descartes (...) |
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The Matter of the Mind addresses and illuminates the relationship between psychology and neuroscience by focusing on the topic of reduction. Written by leading philosophers in the field Discusses recent theorizing in the mind-brain sciences and reviews and weighs the evidence in favour of reductionism against the backdrop of recent important advances within psychology and the neurosciences Collects the latest work on central topics where neuroscience is now making inroads in traditional psychological terrain, such as adaptive behaviour, reward systems, consciousness, (...) |
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Professor Hilary Putnam has been one of the most influential and sharply original of recent American philosophers in a whole range of fields. His most important published work is collected here, together with several new and substantial studies, in two volumes. The first deals with the philosophy of mathematics and of science and the nature of philosophical and scientific enquiry; the second deals with the philosophy of language and mind. Volume one is now issued in a new edition, including an (...) |
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Through the use of such "folk" concepts as belief, desire, intention, and expectation, Daniel Dennett asserts in this first full scale presentation of... |
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The use of “levels of abstraction” in philosophical analysis (levelism) has recently come under attack. In this paper, I argue that a refined version of epistemological levelism should be retained as a fundamental method, called the method of levels of abstraction. After a brief introduction, in section “Some Definitions and Preliminary Examples” the nature and applicability of the epistemological method of levels of abstraction is clarified. In section “A Classic Application of the Method ofion”, the philosophical fruitfulness of the new (...) |
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Are there really beliefs? Or are we learning (from neuroscience and psychology, presumably) that, strictly speaking, beliefs are figments of our imagination, items in a superceded ontology? Philosophers generally regard such ontological questions as admitting just two possible answers: either beliefs exist or they don't. There is no such state as quasi-existence; there are no stable doctrines of semi-realism. Beliefs must either be vindicated along with the viruses or banished along with the banshees. A bracing conviction prevails, then, to the (...) |
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The information-theoretic point of view proposed by Leibniz in 1686 and developed by algorithmic information theory (AIT) suggests that mathematics and physics are not that different. This will be a first-person account of some doubts and speculations about the nature of mathematics that I have entertained for the past three decades, and which have now been incorporated in a digital philosophy paradigm shift that is sweeping across the sciences. |
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Computational thinking cisely. Stating the difficulty of a problem accounts builds on the power and for the underlying power of the machine—the com- limits of computing puting device that will run the solution. We must processes, whether they are exe- consider the machine’s instruction set, its resource cuted by a human or by a constraints, and its operating environment. machine. Computational In solving a problem efficiently,, we might further methods and models give us ask whether an approximate solution is good (...) |
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How engineering enabled abstraction—in computer science. No categories |
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