Participants were asked to draw inferences about correlation from single x,y observations. In Experiment 1 statistically sophisticated participants were given the univariate characteristics of distributions of x and y and asked to infer whether a single x, y observation came from a correlated or an uncorrelated population. In Experiment 2, students with a variety of statistical backgrounds assigned posterior probabilities to five possible populations based on single x, y observations, again given knowledge of the univariate statistics. In Experiment 3, statistically (...) naïve participants were given a problem analogous to that given in Experiment 1, framed verbally. Experiment 4 replicated Experiment 3 but added an “impossible to determine” response option. Models that rely on computing sample correlations make no predictions about these investigations. From a Bayesian perspective, participants’ inferences in all four experiments tended to make probabilistically valid inferences as long as the single datum was directional. The results are discussed in light of the Brunswikian notion of vicarious functioning. (shrink)

An homage to the men and women of science, and an exposition of Einstein's place in scientific history In this fascinating collection of articles and speeches, Albert Einstein reflects not only on the scientific method at work in his own theoretical discoveries, but also eloquently expresses a great appreciation for his scientific contemporaries and forefathers, including Johannes Kepler, Isaac Newton, James Clerk Maxwell, Max Planck, and Niels Bohr. While Einstein is renowned as one of the foremost innovators of (...) modern science, his discoveries uniquely his own, through his own words it becomes clear that he viewed himself as only the most recent in a long line of scientists driven to create new ways of understanding the world and to prove their scientific theories. Einstein's thoughtful examinations explain the "how" of scientific innovations both in his own theoretical work and in the scientific method established by those who came before him. This authorized Philosophical Library book features a new introduction by Neil Berger, PhD, and an illustrated biography of Albert Einstein, which includes rare photos and never-before-seen documents from the Albert Einstein Archives at the Hebrew University of Jerusalem. "What place does the theoretical physicist's picture of the world occupy among all these possible pictures? It demands the highest possible standard of rigorous precision in the description of relations, such as only the use of mathematical language can give" -Albert Einstein, "Principles of Research" Albert Einstein (1879-1955) was born in Germany and became an American citizen in 1934. A world-famous theoretical physicist, he was awarded the 1921 Nobel Prize for Physics and is renowned for his Theory of Relativity. In addition to his scientific work, Einstein was an influential humanist who spoke widely about politics, ethics, and social causes. After leaving Europe, Einstein taught at Princeton University. His theories were instrumental in shaping the atomic age. Neil Berger, an associate professor emeritus of mathematics, taught at the University of Illinois at Chicago in the Mathematics, Statistics, and Computer Science department from 1968 until his retirement in 2001. He was the recipient of the first Monroe H. Martin Prize (1975), which is now awarded by the University of Maryland every five years for a singly authored outstanding applied mathematics research paper. He has published numerous papers and reviews in his fields of expertise, which include elasticity, tensor analysis, scattering theory, and fluid mechanics. (shrink)

Albert Einstein.--Bertrand Russell.--John Dewey.--R.A. Millikan.--Theodore Dreiser.--H.G. Wells.--Fridtjof Nansen.--Sir James Jeans.--Irving Babbitt.--Sir Arthur Keith.--J.T. Adams.--H.L. Mencken.--Julia Peterkin.--Lewis Mumford.--G.J. Nathan.--Hu Shih.--J.W. Krutch.--Irwin Edman.--Hilaire Belloc.--Beatrice Webb.--W.R. Inge.--J.B.S. Haldane.--Biographical notes. Note: This book was re-published by AMS Press, 1979.

If the decades of the forties through the sixties were dominated by discussion of Hempel's “covering law“ explication of explanation, that of the seventies was preoccupied with Salmon's “statistical relevance” conception, which emerged as the principal alternative to Hempel's enormously influential account. Readers of Wesley C. Salmon's Scientific Explanation and the Causal Structure of the World, therefore, ought to find it refreshing to discover that its author has not remained content with a facile defense of his previous investigations; on the (...) contrary, Salmon offers an original account of different kinds of explications, advances additional criticisms of various alternative theories, and elaborates a novel “two-tiered“ analysis of explanation that tacitly depends upon a “two-tiered” account of homogeneity. Indeed, if the considerations that follow are correct, Salmon has not merely refined his statistical relevance account but has actually abandoned it in favor of a “causal/mechanistic“ construction. This striking development suggests that the theory of explanation is likely to remain as lively an arena of debate in the eighties as it has been in the past. (shrink)

1. WHAT IS ARTIFICIAL INTELLIGENCE? One of the fascinating aspects of the field of artificial intelligence (AI) is that the precise nature of its subject ..

The development of science has been a distinctive feature of human history in recent times, especially in the seventeenth and eighteenth centuries. In light of the problems that define the philosophy of science today, James Fetzer provides a foundation for inquiry into the nature of science, the history of science, and the relationship between the two. In Philosophy of Science, Fetzer investigates the aim and methods of empirical science and examines the importance of methodological commitments to the study of (...) science and the significance of interpretations of probability for understanding laws of nature and scientific explanations. This book offers a welcome framework for investigating the most recent work and the most promising solutions to the central problems that arise within this discipline. The result is a timely introduction to an increasingly important field. -- Publisher description. (shrink)

The book uses Zen Buddhism as the opening wedge for an extraordinarily wide-ranging exploration of consciousness.

The purpose of this paper is to explore three alternative frameworks for understanding the nature of language and mentality, which accent syntactical, semantical, and pragmatical aspects of the phenomena with which they are concerned, respectively. Although the computational conception currently exerts considerable appeal, its defensibility appears to hinge upon an extremely implausible theory of the relation of form to content. Similarly, while the representational approach has much to recommend it, its range is essentially restricted to those units of language that (...) can be understood in terms of undefined units. Thus, the only alternative among these three that can account for the meaning of primitive units of language is one emphasizing the basic role of skills, habits, and tendencies in relating signs and dispositions. (shrink)

This paper is about the similarity between the appreciation of a piece of art, such as a cherished music album, and the loving appreciation of a person whom one knows well. In philosophical discussion about the rationality of love, the Qualities View (QV) says that love can be justified by reference to the qualities of the beloved. I argue that the oft-rehearsed trading-up objection fails to undermine the QV. The problems typically identified by the objection arise from the idea that (...) love-worthy qualities could be coarse-grained, when in fact they must be fine-grained. The analogy with appreciation of aesthetic qualities helps to draw out this point. Once the fine-grained nature of love-worthy qualities is properly understood, it is clear that critics of the QV cannot rely on the trading-up objection to motivate its rejection. Moreover, the paper’s core argument helps to illuminate the persistently aesthetic nature of interpersonal affections. (shrink)

Technological revolutions are dissected into three stages: the introduction stage, the permeation stage, and the power stage. The information revolution is a primary example of this tripartite model. A hypothesis about ethics is proposed, namely, ethical problems increase as technological revolutions progress toward and into the power stage. Genetic technology, nanotechnology, and neurotechnology are good candidates for impending technological revolutions. Two reasons favoring their candidacy as revolutionary are their high degree of malleability and their convergence. Assuming the emerging technologies develop (...) into mutually enabling revolutionary technologies, we will need better ethical responses to cope with them. Some suggestions are offered about how our approach to ethics might be improved. (shrink)

We applaud the spirit of MacNeilage's attempts to better explain the evolution and cortical control of speech by drawing on the vast literature in nonhuman primate neurobiology. However, he oversimplifies motor cortical fields and their known individual functions to such an extent that he undermines the value of his effort. In particular, MacNeilage has lumped together the functional characteristics across multiple mesial and lateral motor cortex fields, inadvertantly creating two hypothetical centers that simply may not exist.

Some reasons are thought to depend on relations between people, such as that of a promiser to a promisee. It has sometimes been assumed that all reasons that are relational in this way are moral obligations. I argue, via a counter example, that there are non-obligatory relational reasons. If true, this has ramifications for relational theories of morality.

The idea that human thought requires the execution of mental algorithms provides a foundation for research programs in cognitive science, which are largely based upon the computational conception of language and mentality. Consideration is given to recent work by Penrose, Searle, and Cleland, who supply various grounds for disputing computationalism. These grounds in turn qualify as reasons for preferring a non-computational, semiotic approach, which can account for them as predictable manifestations of a more adquate conception. Thinking does not ordinarily require (...) the execution of mental algorithms, which appears to be at best no more than one rather special kind of thinking. (shrink)

The idea that human thought requires the execution of mental algorithms provides a foundation for research programs in cognitive science, which are largely based upon the computational conception of language and mentality. Consideration is given to recent work by Penrose, Searle, and Cleland, who supply various grounds for disputing computationalism. These grounds in turn qualify as reasons for preferring a non-computational, semiotic approach, which can account for them as predictable manifestations of a more adquate conception. Thinking does not ordinarily require (...) the execution of mental algorithms, which appears to be at best no more than one rather special kind of thinking. (shrink)

Luciano Floridi (2003) offers a theory of information as a “strongly semantic” notion, according to which information encapsulates truth, thereby making truth a necessary condition for a sentence to qualify as “information”. While Floridi provides an impressive development of this position, the aspects of his approach of greatest philosophical significance are its foundations rather than its formalization. He rejects the conception of information as meaningful data, which entails at least three theses – that information can be false; that tautologies are (...) information; and, that “It is true that...” is non-redundant – appear to be defensible. This inquiry offers various logical, epistemic, and ordinary-language grounds to demonstrate that an account of his kind is too narrow to be true and that its adoption would hopelessly obscure crucial differences between information, misinformation, and disinformation. (shrink)

The notion of program verification appears to trade upon an equivocation. Algorithms, as logical structures, are appropriate subjects for deductive verification. Programs, as causal models of those structures, are not. The success of program verification as a generally applicable and completely reliable method for guaranteeing program performance is not even a theoretical possibility.

Being able to ask others to do things, and thereby giving them reasons to do those things, is a prominent feature of our interpersonal lives. In this paper, I discuss the distinctive normative status of requests – what makes them different from commands and demands. I argue for a theory of this normative phenomenon which explains the sense in which the reasons presented in requests are a matter of discretion. This discretionary quality, I argue, is something that other theories cannot (...) accommodate, though it is a significant aspect of the relations that people stand in to one another, and the kinds of practical reasons that flow from those relations. (shrink)

A lineage of prominent philosophers who have discussed the second-person relation can be regarded as advancing structural accounts. They posit that the second-person relation effects one transformative change to the structure of practical reasoning. In this paper, I criticise this orthodoxy and offer an alternative, substantive account. That is, I argue that entering into second-personal relations with others does indeed affect one's practical reasoning, but it does this not by altering the structure of one's agential thought, but by changing what (...) reasons can become available. The importance of second-personal thought for action is heterogenous. Second-person relations make possible the emergence of a wide variety of different kinds of practical reasons: creating some, revealing others. Recognising this diminishes the appeal of the traditional, structural accounts of the practical significance of such second-personal relations. Moving away from structural accounts facilitates a more thorough understanding of the intersubjective form of action. (shrink)

Computer and information ethics, as well as other fields of applied ethics, need ethical theories which coherently unify deontological and consequentialist aspects of ethical analysis. The proposed theory of just consequentialism emphasizes consequences of policies within the constraints of justice. This makes just consequentialism a practical and theoretically sound approach to ethical problems of computer and information ethics.

In his Posterior Analytics Aristotle confronted a problem that threatened his vision of scientific knowledge as an axiomatic system: if scientific knowledge is demonstrative in character, and if the axioms of a science cannot themselves be demonstrated, then the most basic of all scientific principles will remain unknown. In the famous concluding chapter of this work (II 19), he claimed to solve this problem by distinguishing two kinds of knowledge: we cannot have epistêmê of the first principles, but we can (...) have nous of them. This ‘solution’ has struck many students of his thought as hopelessly ad hoc and unpersuasive. And nowhere is Aristotle less persuasive than when he appeals to a faculty of intuition or a priori insight which arrives on the scene precisely when it is most needed. I defend Aristotle’s account by showing how nous is not properly characterized as a faculty of intuition which operates independently of sense experience. Rather, nous is a kind of knowledge that is available to us whenever our mind advances from the perception of particular individuals to grasp the relevant universal concept or general principle. (shrink)

This sequel to the widely read Zen and the Brain continues James Austin's explorations into the key interrelationships between Zen Buddhism and brain research. In Zen-Brain Reflections, Austin, a clinical neurologist, researcher, and Zen practitioner, examines the evolving psychological processes and brain changes associated with the path of long-range meditative training. Austin draws not only on the latest neuroscience research and new neuroimaging studies but also on Zen literature and his personal experience with alternate states of consciousness.Zen-Brain Reflections takes (...) up where the earlier book left off. It addresses such questions as: how do placebos and acupuncture change the brain? Can neuroimaging studies localize the sites where our notions of self arise? How can the latest brain imaging methods monitor meditators more effectively? How do long years of meditative training plus brief enlightened states produce pivotal transformations in the physiology of the brain? In many chapters testable hypotheses suggest ways to correlate normal brain functions and meditative training with the phenomena of extraordinary states of consciousness.After briefly introducing the topic of Zen and describing recent research into meditation, Austin reviews the latest studies on the amygdala, frontotemporal interactions, and paralimbic extensions of the limbic system. He then explores different states of consciousness, both the early superficial absorptions and the later, major "peak experiences." This discussion begins with the states called kensho and satori and includes a fresh analysis of their several different expressions of "oneness." He points beyond the still more advanced states toward that rare ongoing stage of enlightenment that is manifest as "sage wisdom."Finally, with reference to a delayed "moonlight" phase of kensho, Austin envisions novel links between migraines and metaphors, moonlight and mysticism. The Zen perspective on the self and consciousness is an ancient one. Readers will discover how relevant Zen is to the neurosciences, and how each field can illuminate the other. (shrink)