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)

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)

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

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)

Perhaps no technological innovation has so dominated the second half of the twentieth century as has the introduction of the programmable computer. It is quite difficult if not impossible to imagine how contemporary affairs—in business and science, communications and transportation, governmental and military activities, for example—could be conducted without the use of computing machines, whose principal contribution has been to relieve us of the necessity for certain kinds of mental exertion. The computer revolution has reduced our mental labors by means (...) of these machines, just as the Industrial Revolution reduced our physical labor by means of other machines. (shrink)

Historian James H. Jones published the first edition of Bad Blood, the definitive history of the Tuskegee Syphilis Experiment, in 1981. Its clear-eyed examination of that research and its implications remains a bioethics classic, and the 30-year anniversary of its publication served as the impetus for the reexamination of research ethics that this symposium presents. Recent revelations about the United States Public Health Service study that infected mental patients and prisoners in Guatemala with syphilis in the late 1940s in (...) order to determine the efficacy of treatment represent only one of the many attestations to the persistence of ongoing, critical, and underaddressed issues in research ethics that Bad Blood first explored. Those issues include, but are not limited to: the complex and contested matters of the value of a given research question, the validity of the clinical trial designed to address it, and the priorities of science. (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)

We need to clarify at least four aspects of selfhood if we are to reach a better understanding of consciousness in general, and of its alternate states. First, how did we develop our self-centred psychophysiology? Second, can the four familiar lobes of the brain alone serve, if only as preliminary landmarks of convenience, to help understand the functions of our many self-referent networks? Third, what could cause one's former sense of self to vanish from the mental field during an extraordinary (...) state of consciousness? Fourth, when a person's physical and psychic self do drop off briefly, how has conscious experience then been transformed? In particular, what happens to that subject's personal sense of time? Our many-sided self arose in widely distributed brain networks. Since infancy, these self-oriented circuits have been over-conditioned by limbic biases. Selfhood then seems to have evolved along lines suggesting at least in shorthand the operations of a kind of ‘I-Me-Mine’ complex. But what happens when this egocentric triad briefly dissolves? Novel states of consciousness emerge. Two personally-observed states are discussed: insight-wisdom ; internal absorption. How do these two states differ phenomenologically? The physiological processes briefly suggested here emphasize shifts in deeper systems, and pivotal roles for thalamo-cortical interactions in the front and back of the brain. (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.

The standard interpretation of the imitation game is defended over the rival gender interpretation though it is noted that Turing himself proposed several variations of his imitation game. The Turing test is then justified as an inductive test not as an operational definition as commonly suggested. Turing's famous prediction about his test being passed at the 70% level is disconfirmed by the results of the Loebner 2000 contest and the absence of any serious Turing test competitors from AI on the (...) horizon. But, reports of the death of the Turing test and AI are premature. AI continues to flourish and the test continues to play an important philosophical role in AI. Intelligence attribution, methodological, and visionary arguments are given in defense of a continuing role for the Turing test. With regard to Turing's predictions one is disconfirmed, one is confirmed, but another is still outstanding. (shrink)

A personal story of the ways in which persistence, chance, and creativity interact in biomedical research. This first book by the author of Zen and the Brain examines the role of chance in the creative process. James Austin tells a personal story of the ways in which persistence, chance, and creativity interact in biomedical research; the conclusions he reaches shed light on the creative process in any field. Austin shows how, in his own investigations, unpredictable events shaped the outcome (...) of his research and brought about novel results. He then goes beyond this story of serendipity to propose a new classification of the varieties of chance, drawing on his own research and examples from the history of science—including the famous accidents that led Fleming to the discovery of penicillin. Finally, he explores the nature of the creative process, considering not only the environmental and neurophysiological correlates of creativity but also the role of intuition in both scientific discoveries and spiritual quests. This updated MIT Press paperback edition includes a new introduction and recent material on medical research, creativity, and spirituality. (shrink)

When computing is defined as the causal implementation of algorithms and algorithms are defined as effective decision procedures, human thought is mental computation only if it is governed by mental algorithms. An examination of ordinary thinking, however, suggests that most human thought processes are non-algorithmic. Digital machines, moreover, are mark-manipulating or string-processing systems whose marks or strings do not stand for anything for those systems, while minds are semiotic (or “signusing”) systems for which signs stand for other things for those (...) systems. Computing, at best, turns out to be no more than a special kind of thinking. (shrink)

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)

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)

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.

Includes bibliographical references and indexes.