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 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 work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work. This work is in the public domain (...) in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant. (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.

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)

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)

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 provide a systematic appraisal of the covering law and statistical relevance theories of statistical explanation advanced by Carl G. Hempel and by Wesley C. Salmon, respectively. The analysis is intended to show that the difference between these accounts is inprinciple analogous to the distinction between truth and confirmation, where Hempel's analysis applies to what is taken to be the case and Salmon's analysis applies to what is the case. Specifically, it is argued (a) (...) that statistical explanations exhibit the nomic expectability of their explanandum events, which in some cases may be strong but in other cases will not be; (b) that the statistical relevance criterion is more fundamental than the requirement of maximal specificity and should therefore displace it; and, (c) that if statistical explanations are to be envisioned as inductive arguments at all, then only in a qualified sense since, in particular, the requirement of high inductive probability between explanans and explanandum must be abandoned. (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)

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.

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)

Includes bibliographical references and indexes.

The distinguished theologian, David Ray Griffin, has advanced a set of thirteen theses intended to characterize (what he calls) "Neo-Darwinism" and which he contrasts with "Intelligent Design". Griffin maintains that Neo-Darwinism is "atheistic" in forgoing a creator but suggests that, by adopting a more modest scientific naturalism and embracing a more naturalistic theology, it is possible to find "a third way" that reconciles religion and science. The considerations adduced here suggest that Griffin has promised more than he can deliver. On (...) his account, God is in laws of nature; therefore, any influence He exerts is natural rather than supernatural. But if the differences God makes are not empirically detectable, then Griffin's account is just as objectionable as a theory of supernatural intervention. And Griffin has not shown that evolution as distinct from his idiosyncratic sense of Neo-Darwinism is incompatible with theism. (shrink)

The prelims comprise: Historical Background The Turing Test Physical Machines Symbol Systems The Chinese Room Weak AI Strong AI Folk Psychology Eliminative Materialism Processing Syntax Semantic Engines The Language of Thought Formal Systems Mental Propensities The Frame Problem Minds and Brains Semiotic Systems Critical Differences The Hermeneutic Critique Conventions and Communication Other Minds Intelligent Machines.

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)

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.

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)

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.

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)

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)

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)