The essays in this collection, written by prominent scholars, offer a new approach to their work.

_Deleuze and Guattari: New Mappings in Politics, Philosophy and Culture_ Edited by Eleanor Kaufman and Kevin Jon Heller Minneapolis: University of Minnesota Press, 1998 ISBN 0-8166-30283 320 pp.

This anthology in epistemology is a collection of essays and excerpts from seminal texts on ways of knowing in mathematics, the natural and social sciences and the liberal and fine arts and communication.

Bayesian networks are computer programs which represent probabilitistic relationships graphically as directed acyclic graphs, and which can use those graphs to reason probabilistically , often at relatively low computational cost. Almost every expert system in the past tried to support probabilistic reasoning, but because of the computational difficulties they took approximating short-cuts, such as those afforded by MYCIN's certainty factors. That all changed with the publication of Judea Pearl's Probabilistic Reasoning in Intelligent Systems, in 1988, which synthesized a decade of (...) research making accurate graphical probabilistic reasoning computationally achievable.Bayesian network technology is now one of the fastest growing fields of research in artificial intelligence. That it has become a publication industry in its own right is shown by a search on Google scholar :This development, together with a parallel related growth in the use of causal discovery algorithms which automate the learning of Bayesian networks from sample data, has generated considerable interest, and controversy, within the philosophy-of-science community.Three central questions bringing together AI researchers and philosophers of science are: Are Bayesian networks Bayesian? What is the relation between probability and causality? Are the assumptions behind causal discovery of Bayesian networks realistic or fantastical?Jon Williamson, as a philosopher of science with a keen interest in the technology, asks and answers these questions in his new book. Although it is self-contained, his book is not very likely as an introduction to the technology , nor is it optimal even as an introduction to the philosophical problems in interpreting Bayesian networks . Rather Williamson's book is an attempt to move the debate forward by solving the central problems of the …. (shrink)

Graphical AbstractScience and technology consortia provide a viable solution for the recent unsustainable academic growth in biomedical research.

The Second Amendment to the U.S. Constitution states: “A well regulated Militia, being necessary to the security of a free State, the right of the people to keep and bear Arms, shall not be infringed.” Until recently, no federal appellate court had ever struck down any gun law as a violation of the Second Amendment. In fact, even laws outlawing most handgun possession, or restricting other types of firearms, had been upheld, in part, because the laws did not interfere with (...) the functioning of state militias.Then, in 2008, the U.S. Supreme Court — for the first time in nearly 70 years — decided a case squarely addressing the meaning of the Second Amendment. In District of Columbia v. Heller, the Supreme Court concluded that the Second Amendment protected an individual right to own handguns in the home, invalidating a Washington, D.C. law.But Heller left many issues undecided, including the precise scope of the Second Amendment. (shrink)

Objective Bayesianism is a methodological theory that is currently applied in statistics, philosophy, artificial intelligence, physics and other sciences. This book develops the formal and philosophical foundations of the theory, at a level accessible to a graduate student with some familiarity with mathematical notation.

A one-of-a-kind reference to the international vocabulary of the humanities This is an encyclopedic dictionary of close to 400 important philosophical, literary, and political terms and concepts that defy easy—or any—translation from one language and culture to another. Drawn from more than a dozen languages, terms such as Dasein (German), pravda (Russian), saudade (Portuguese), and stato (Italian) are thoroughly examined in all their cross-linguistic and cross-cultural complexities. Spanning the classical, medieval, early modern, modern, and contemporary periods, these are terms that (...) influence thinking across the humanities. The entries, written by more than 150 distinguished scholars, describe the origins and meanings of each term, the history and context of its usage, its translations into other languages, and its use in notable texts. The dictionary also includes essays on the special characteristics of particular languages—English, French, German, Greek, Italian, Portuguese, Russian, and Spanish. Originally published in French, this one-of-a-kind reference work is now available in English for the first time, with new contributions from Judith Butler, Daniel Heller-Roazen, Ben Kafka, Kevin McLaughlin, Kenneth Reinhard, Stella Sandford, Gayatri Chakravorty Spivak, Jane Tylus, Anthony Vidler, Susan Wolfson, Robert J. C. Young, and many more.The result is an invaluable reference for students, scholars, and general readers interested in the multilingual lives of some of our most influential words and ideas. Covers close to 400 important philosophical, literary, and political terms that defy easy translation between languages and cultures Includes terms from more than a dozen languages Entries written by more than 150 distinguished thinkers Available in English for the first time, with new contributions by Judith Butler, Daniel Heller-Roazen, Ben Kafka, Kevin McLaughlin, Kenneth Reinhard, Stella Sandford, Gayatri Chakravorty Spivak, Jane Tylus, Anthony Vidler, Susan Wolfson, Robert J. C. Young, and many more Contains extensive cross-references and bibliographies An invaluable resource for students and scholars across the humanities. (shrink)

Bayesian nets are widely used in artificial intelligence as a calculus for causal reasoning, enabling machines to make predictions, perform diagnoses, take decisions and even to discover causal relationships. This book, aimed at researchers and graduate students in computer science, mathematics and philosophy, brings together two important research topics: how to automate reasoning in artificial intelligence, and the nature of causality and probability in philosophy.

A collection of 37 essays surveying the state of the art on metaphysical ground. -/- Essay authors are: Fatema Amijee, Ricki Bliss, Amanda Bryant, Margaret Cameron, Phil Corkum, Fabrice Correia, Louis deRosset, Scott Dixon, Tom Donaldson, Nina Emery, Kit Fine, Martin Glazier, Kathrin Koslicki, David Mark Kovacs, Stephan Krämer, Stephanie Leary, Stephan Leuenberger, Jon Litland, Marko Malink, Michaela McSweeney, Kevin Mulligan, Alyssa Ney, Asya Passinsky, Francesca Poggiolesi, Kevin Richardson, Stefan Roski, Noel Saenz, Benjamin Schnieder, Erica Shumener, Alexander Skiles, (...) Olla Solomyak, Tuomas Tahko, Naomi Thompson, Kelly Trogdon, Jennifer Wang, Tobias Wilsch, and Justin Zylstra. (shrink)

While there are several arguments on either side, it is far from clear as to whether or not countable additivity is an acceptable axiom of subjective probability. I focus here on de Finetti's central argument against countable additivity and provide a new Dutch book proof of the principle, To argue that if we accept the Dutch book foundations of subjective probability, countable additivity is an unavoidable constraint.

How does vagueness interact with metaphysical modality and with restrictions of it, such as nomological modality? In particular, how do definiteness, necessity (understood as restricted in some way or not), and actuality interact? This paper proposes a model-theoretic framework for investigating the logic and semantics of that interaction. The framework is put forward in an ecumenical spirit: it is intended to be applicable to all theories of vagueness that express vagueness using a definiteness (or: determinacy) operator. We will show how (...) epistemicists, supervaluationists, and theorists of metaphysical vagueness like Barnes and Williams (2010) can interpret the framework.  We will also present a complete axiomatization of the logic we recommend to both epistemicists and local supervaluationists. . (shrink)

Could φ’s partially grounding ψ itself be a partial ground for ψ? I show that it follows from commonly accepted principles in the logic of ground that this sometimes happens. It also follows from commonly accepted principles that this never happens. I show that this inconsistency turns on different principles than the puzzles of ground already discussed in the literature, and I propose a way of resolving the inconsistency.

Language maps signals onto meanings through the use of two distinct types of structure. First, the space of meanings is discretized into categories that are shared by all users of the language. Second, the signals employed by the language are compositional: The meaning of the whole is a function of its parts and the way in which those parts are combined. In three iterated learning experiments using a vast, continuous, open-ended meaning space, we explore the conditions under which both structured (...) categories and structured signals emerge ex nihilo. While previous experiments have been limited to either categorical structure in meanings or compositional structure in signals, these experiments demonstrate that when the meaning space lacks clear preexisting boundaries, more subtle morphological structure that lacks straightforward compositionality—as found in natural languages—may evolve as a solution to joint pressures from learning and communication. (shrink)

Part I of this paper introduces a range of mechanistic theories of causality, including process theories and the complex-systems theories, and some of the problems they face. Part II argues that while there is a decisive case against a purely mechanistic analysis, a viable theory of causality must incorporate mechanisms as an ingredient, and describes one way of providing an analysis of causality which reaps the rewards of the mechanistic approach without succumbing to its pitfalls.

When a proposition is established, it can be taken as evidence for other propositions. Can the Bayesian theory of rational belief and action provide an account of establishing? I argue that it can, but only if the Bayesian is willing to endorse objective constraints on both probabilities and utilities, and willing to deny that it is rationally permissible to defer wholesale to expert opinion. I develop a new account of deference that accommodates this latter requirement.

ABSTRACT The article aims at contributing to the unification of history and psychology by studying the expressions of anger and enthusiasm in several historical contexts. These mainly include France and America in the eighteenth century, but also more recent episodes of transitional justice. In addition it aims at drawing the attention of psychologist to the understudied emotion of enthusiasm. To this end, it also considers how Hume and Kant treated this emotion.

This paper addresses the question: Who or what can have a moral status in the sense that we have direct moral duties to them? It argues for a biocentric answer which ascribes inherent moral status value to all individual living organisms. This position must be defended against an anthropocentric position. The argument from marginal cases propounded by Tom Regan and Peter Singer for this purpose is criticised as defective, and a different argument is proposed. The biocentric position developed here is (...) related to that of Albert Schweitzer and Paul F. Taylor, but rejects their assumption of equal inherent value for all living organisms. It argues instead for equal moral status value for moral persons and agents, and gradual moral status value for nonpersons, depending on their degree of similarity with moral persons. Mary Ann Warren's recent book on Moral Status is also discussed. The argument is constructed as a casuistic argument, proceeding by analogical extension from persons to non-persons. The meta-ethical question of its pragmatic validity is discussed. (shrink)

The eleven essays in this volume, supplemented by an editorial introduction, centre around three overlapping problems. First, why would a society want to limit its own sovereign power by imposing constitutional constraints on democratic decision-making? Second, what are the contributions of democracy and constitutions to efficient government? Third, what are the relations among democracy, constitutionalism, and private property? This comprehensive discussion of the problems inherent in constitutional democracy will be of interest to students in a variety of social sciences. It (...) illuminates particularly the current efforts of many countries, especially in Latin America, to establish stable democratic regimes. (shrink)

The article addresses the potential impact of functional brain imaging (functional magnetic resonance imaging and positron-emission tomography) on surrogate end-of-life decision-making in light of varying state-law definitions of consciousness, some of which define awareness behaviorally and others functionally. The article concludes that, in light of admonitions by neuroscientists that functional brain imaging cannot yet replace behavioral evaluation to determine the existence of consciousness, state legislatures, courts and drafters of written advance healthcare directives should consider treating behavior, not function, as the (...) touchstone for end-of-life decision-making. (shrink)

The study begins with the language employed in and the psychological basis of thought experiments as understood by certain medieval Arabic philosophers. It then provides a taxonomy of different kinds of thoughts experiments used in the medieval Islamic world. These include purely fictional thought experiments, idealizations and finally thought experiments using ingenious machines. The study concludes by suggesting that thought experiments provided a halfway house during this period between a staunch rationalism and an emerging empiricism.

I present a formalism that combines two methodologies: objective Bayesianism and Bayesian nets. According to objective Bayesianism, an agent’s degrees of belief (i) ought to satisfy the axioms of probability, (ii) ought to satisfy constraints imposed by background knowledge, and (iii) should otherwise be as non-committal as possible (i.e. have maximum entropy). Bayesian nets offer an efficient way of representing and updating probability functions. An objective Bayesian net is a Bayesian net representation of the maximum entropy probability function.

Without taking a position on the overall justification of anti-doping regulations, I analyse the possible justification of Therapeutic Use Exemptions from such rules. TUEs are a creative way to prevent the unfair exclusion of athletes with a chronic condition, and they have the potential to be the least bad option. But they cannot be competitively neutral. Their justification must rest, instead, on the relevance of intentions to permissibility. I illustrate this by means of a set of thought experiments in which (...) only an athlete’s intentions vary. I argue that the Doctrine of Double Effect sheds some light on TUEs and illustrate this by applying different readings of the DDE to the thought experiment. This underpins a justification of anti-doping exemptions very different from the approach adopted by the World Anti-Doping Agency. I argue for three changes to bring TUEs in line with this understanding: rewriting of the regulations, transparency, and a greater role for athletes in determining what exemptions are allowed, and when. (shrink)

In the last chapter of The Public and its Problems John Dewey outlines the alleged fallacy of "the democratic creed". According to him the fallacy is described as conflating emancipation with the capacity to rule, i.e. the capacity to make policy decisions. His point is that the power to make decisions does not entail a capacity to make good choices. Capable are those in the know, the experts who are "intellectually qualified". The answer to the fallacy is to propose epistocracy: (...) The rule of experts – as Walter Lippman had come close to arguing. But Dewey tries to refute the argument for epistocracy. He rehearses the old platonic wisdom that the harmonious state... (shrink)

Norton’s very simple case of indeterminism in classical mechanics has given rise to a literature critical of his result. I am interested here in posing a new objection different from the ones made to date. The first section of the paper expounds the essence of Norton’s model and my criticism of it. I then propose a specific modification in the absence of gravitational interaction. The final section takes into consideration a surprising consequence for classical mechanics from the new model introduced (...) here. (shrink)

I argue that Newtonian-style deduction-from-the-phenomena arguments should only carry conviction when they yield unexpectedly simple conclusions. That in that case they do establish higher rational probabilities for the theories they lead to than for any known or easily constructible rival theories. However I deny that such deductive justifications yield high absolute rational probabilities, and argue that the history of physics suggests that there are always other not-yet-known simpler theories with higher rational probabilities on all the original evidence, and that these (...) later turn out closer to the truth. My analyses rely on the modern Solomonoff-Levin solution to the problem of constructing a mathematically and philosophically acceptable inductive logic. (shrink)

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