MCMP – Philosophy of Mind
MCMP Team
Mathematical Philosophy - the application of logical and mathematical methods in philosophy - is about to experience a tremendous boom in various areas of philosophy. At the new Munich Center for Mathematical Philosophy, which is funded mostly by the German Alexander von Humboldt Foundation, philosophical research will be carried out mathematically, that is, by means of methods that are very close to those used by the scientists.
The purpose of doing philosophy in this way is not to reduce philosophy to mathematics or to natural science in any sense; rather mathematics is applied in order to derive philosophical conclusions from philosophical assumptions, just as in physics mathematical methods are used to derive physical predictions from physical laws.
Nor is the idea of mathematical philosophy to dismiss any of the ancient questions of philosophy as irrelevant or senseless: although modern mathematical philosophy owes a lot to the heritage of the Vienna and Berlin Circles of Logical Empiricism, unlike the Logical Empiricists most mathematical philosophers today are driven by the same traditional questions about truth, knowledge, rationality, the nature of objects, morality, and the like, which were driving the classical philosophers, and no area of traditional philosophy is taken to be intrinsically misguided or confused anymore. It is just that some of the traditional questions of philosophy can be made much clearer and much more precise in logical-mathematical terms, for some of these questions answers can be given by means of mathematical proofs or models, and on this basis new and more concrete philosophical questions emerge. This may then lead to philosophical progress, and ultimately that is the goal of the Center.
The purpose of doing philosophy in this way is not to reduce philosophy to mathematics or to natural science in any sense; rather mathematics is applied in order to derive philosophical conclusions from philosophical assumptions, just as in physics mathematical methods are used to derive physical predictions from physical laws.
Nor is the idea of mathematical philosophy to dismiss any of the ancient questions of philosophy as irrelevant or senseless: although modern mathematical philosophy owes a lot to the heritage of the Vienna and Berlin Circles of Logical Empiricism, unlike the Logical Empiricists most mathematical philosophers today are driven by the same traditional questions about truth, knowledge, rationality, the nature of objects, morality, and the like, which were driving the classical philosophers, and no area of traditional philosophy is taken to be intrinsically misguided or confused anymore. It is just that some of the traditional questions of philosophy can be made much clearer and much more precise in logical-mathematical terms, for some of these questions answers can be given by means of mathematical proofs or models, and on this basis new and more concrete philosophical questions emerge. This may then lead to philosophical progress, and ultimately that is the goal of the Center.
Episodes
Mentioned books
Apr 18, 2019 • 51min
The Mind-Brain Entanglement
Roland Poellinger, a mathematical philosopher at MCMP/LMU, explores formal models of how mental and physical domains interact. He discusses everyday mental causation examples, Bayes net interventionism, the Cambridge-change puzzle, and proposes Causal Knowledge Patterns with informational links. The talk connects these ideas to realization, mental influence on physics, and even a parallel to quantum entanglement.
Sep 19, 2012 • 54min
Multiple Realization and the Computational Mind
Paul Schweizer (Edinburgh) gives a talk at the MCMP Colloquium (11 July, 2012) titled "Multiple Realization and the Computational Mind". Abstract: The paper addresses a standard line of criticism of the Computational Theory of Mind, based on the claim that realizing a computational formalism is overly liberal to the point of vacuity. In agreement with the underlying view of computation used to support this criticism, I argue that computation is not an intrinsic property of physical systems, but rather requires an observer dependent act of interpretation. The extent to which a given configuration of matter and energy can be said to realize an abstract formalism is always a matter of approximation and degree, and interpreting a physical device as performing a computation is relative to our purposes and potential epistemic gains. And while this may fatally undermine a computational explanation of consciousness, I argue that, contra Putnam and Searle, it does not rule out the possibility of a scientifically defensible account of propositional attitude states in computational terms.
