This book is a collection of secondary essays on America's most important philosophic thinkers—statesmen, judges, writers, educators, and activists—from the colonial period to the present. Each essay is a comprehensive introduction to the thought of a noted American on the fundamental meaning of the American regime.

In informal terms, abductive reasoning involves inferring the best or most plausible explanation from a given set of facts or data. It is a common occurrence in everyday life and crops up in such diverse places as medical diagnosis, scientific theory formation, accident investigation, language understanding, and jury deliberation. In recent years, it has become a popular and fruitful topic in artificial intelligence research. This volume breaks new ground in the scientific, philosophical, and technological study of abduction. It presents new (...) ideas about inferential and information-processing foundations for knowledge and certainty. The authors argue that knowledge arises from experience by processes of abductive inference, in contrast to the view that it arises non-inferentially, or that deduction and inductive generalization are enough to account for knowledge. Much AI research is hypothetical, so the importance of this book is that it reports key discoveries about abduction that have been made as a result of designing, building, testing, and analyzing actual working knowledge-based systems for medical diagnosis and other abductive tasks. The book tells the story of six generations of increasingly sophisticated generic abduction machines, RED-1, RED-2, PEIRCE, MDX2, TIPS, QUAWDS, and the discovery of reasoning strategies that make it computationally feasible to form well-justified composite explanatory hypotheses, despite the threat of combinatorial explosion. The final chapter argues that perception is logically abductive and presents a layered-abduction computational model of perceptual information processing. This book will be of great interest to researchers in AI, cognitive science, and philosophy of science. (shrink)

Rene Descartes's motto challenges his would-be historians: "He lives well who hides well." He hid even in the Discourse on Method, where he professed to recount the story of his "entire life, " but said almost nothing about his childhood and youth. He mentioned neither family nor friends, and he boasted a total freedom from irrational passions. In the Discourse, which presented a new way of achieving certain truth through mathematical reason, Descartes stressed just one event, a day of thinking (...) at the beginning of winter, 1619. Tucked away in an unpublished notebook, however, Descartes also left the Olympica, which documented the wildly irrational dreams he had the night of November 10, 1619, and gave his own enthusiastic interpretations. Embarrassed scholars have tried to reason away this record and even the dreams themselves. Adapting clinical methods to historical research, John Cole offers the first systematic interpretation of the Olympian dreams. He argues that they expressed and masked Descartes's unresolved conflicts: his guilt at having rejected the law career for which he had been trained and which his lawyer father had wanted him to pursue, and his shame over early failures to satisfy the high expectations of his friend and mentor, Isaac Beeckman. Cole shows us how a critical historian can make sense of such irrational material and lets us see the creation of an egocentric and rationalist philosophy. (shrink)

It appears that utilitarian arguments in favor of moral vegetarianism cannot justify a complete prohibition of eating meat. This is because, in certain circumstances, forgoing meat will prevent no pain, and so, on utilitarian grounds, we should be opportunistic carnivores rather than moral vegetarians. In his paper, ‘Puppies, pigs, and people: Eating meat and marginal cases,’ Alastair Norcross argues that causal impotence arguments like these are misguided. First, he presents an analogous situation, the case of chocolate mousse a-la-bama, in order (...) to argue that we, individually, are not causally impotent. Second, Norcross offers a threshold argument in which he argues that while we may individually be causally impotent, when we adopt moral vegetarianism in concert with others, we become causally potent in preventing harms by factory farming. We argue that Norcross's responses ultimately fail to address the causal impotence objection. The former argument fails because it vastly oversimplifies the world in which we find ourselves. Given the size of factory farming, the reasonable conclusion is that we are in fact powerless to prevent harms to animals in factory farms in many or most cases. The latter argument fails because even if collective action will have an impact on factory farming, this does not provide us with an argument against being carnivores in certain circumstances. (shrink)

The Principle of Indifference, which dictates that we ought to assign two outcomes equal probability in the absence of known reasons to do otherwise, is vulnerable to well-known objections. Nevertheless, the appeal of the principle, and of symmetry-based assignments of equal probability, persists. We show that, relative to a given class of symmetries satisfying certain properties, we are justified in calling certain outcomes equally probable, and more generally, in defining what we call relative probabilities. Relative probabilities are useful in providing (...) a generalized approach to conditionalization. The technique is illustrated by application to simple examples. (shrink)

In a random process, later events seem to be loosely attached to earlier ones; in other words, a substantial or tight relationship between the two is missing. This relationship is sometimes held to be the relation of cause and effect, so that random events are not caused by what preceded them. Richard Johns, however, adopts the original stance that random events are fully caused and lack only determination by their causes; according to his causal theory of chance, the physical (...) chance of an event is the degree to which the event is determined by its causes. -/- A Theory of Physical Probability addresses an important and, until now, poorly comprehended topic: chance, or physical probability. It puts forth Johns's theory of physical chance and demonstrates the implications of this theory in various areas of physics. Johns's is a novel approach to a fundamental topic in such disciplines as philosophy, philosophy of science, and physics, and it will be widely admired by scholars for its clarity and accessibility. (shrink)

This chapter contains sections titled: An Environmental Ethic for Non‐Tree Huggers Considering the Environment by Riding a Bike Cycles of Climate Change Pollution The Cycling Solution The End of a (Subaru) Legacy Notes.

Epistemic theories of objective chance hold that chances are idealised epistemic probabilities of some sort. After giving a brief history of this approach to objective chance, I argue for a particular version of this view, that the chance of an event E is its epistemic probability, given maximal knowledge of the possible causes of E. The main argument for this view is the demonstration that it entails all of the commonly-accepted properties of chance. For example, this analysis entails that chances (...) supervene on the physical facts, that the chance function is an expert probability, that the existence of stable frequencies results from invariant chances in repeated experiments, and that chances are probably close to long-run relative frequencies in repeated experiments. Despite these virtues, epistemic approaches to chance have been neglected in recent decades, on account of their conflict with accepted views about closely related topics such as causation, laws of nature, and epistemic probability. However, existing views on these topics are also very problematic, and I believe that the epistemic view of chance is a key piece of this puzzle that, once in place, allows all the other pieces to fit together into a new and coherent way. I also respond to some criticisms of the epistemic theory that I favour. (shrink)

The aim of this paper is to provide a mathematical basis for the plausible idea that regular dynamical laws can only produce (quickly and reliably) regular structures. Thus the actual laws, which are regular, can only produce regular objects, like crystals, and not irregular ones, like living organisms.

There is presently considerable interest in the phenomenon of "self-organisation" in dynamical systems. The rough idea of self-organisation is that a structure appears "by itself in a dynamical system, with reasonably high probability, in a reasonably short time, with no help from a special initial state, or interaction with an external system. What is often missed, however, is that the standard evolutionary account of the origin of multi-cellular life fits this definition, so that higher living organisms are also products of (...) self-organisation. Very few kinds of object can selforganise, and the question of what such objects are like is a suitable mathematical problem. Extending the familiar notion of algorithmic complexity into the context of dynamical systems, we obtain a notion of "dynamical complexity". A simple theorem then shows that only objects of very low dynamical complexity can self organise, so that living organisms must be of low dynamical complexity. On the other hand, symmetry considerations suggest that living organisms are highly complex, relative to the dynamical laws, due to their large size and high degree of irregularity. In particular, it is shown that since dynamical laws operate locally, and do not vary across space and time, they cannot produce any specific large and irregular structure with high probability in a short time. These arguments suggest that standard evolutionary theories of the origin of higher organisms are incomplete. (shrink)