Many attempts have been made in recent months to throw light on the problem of vagueness. That perfect precision is an ideal not to be attained by any language seems clear. But the obvious fact is that words and sentences in our languages are not so precise as we should like to have them, and we are naturally concerned with finding some sort of device by which vagueness can, in the first place, be detected and measured, and, in the second place, eliminated or reduced to a minimum. I shall not be concerned in what follows with these various special attempts to meet the problem. My task is the somewhat more general one of showing that there are other factors contributing to vagueness, one of which is of particular significance when we leave the realm of ostensively defined symbols and begin to concern ourselves with suppositional symbols, constructs and hypotheses.

The developments in 20th century physics which have brought into question the status of causality in subatomic phenomena are common knowledge today in the philosophical world. For the purposes of our discussion attention focusses on the quantum-mechanical solutions which describe atomic states by probability distributions instead of by exact values of observable variables.

In this paper we show how a form of Maxwellian Demon can be interpreted as a computing automaton. We then point out some ways in which the Demon systems can be generalized, and briefly describe and discuss the properties of some of the corresponding automata. It is shown that a generalized Maxwell Demon system can carry out arbitrary Turing computations.

Finally, the association developed between classes of thermodynamic systems and classes of computational systems is employed to suggest approaches to some fundamental problems of the relationships between computation, the information obtained by computation, and energy.

Recent models of scientific collaboration show that minorities can end up at a disadvantage in bargaining scenarios. However, these models presuppose the existence of social categories. Here, I present a model of scientific collaboration in which inequality arises in the absence of social categories. I assume that all agents are identical except for the position that they occupy in the collaboration network. I show that inequality arises in the absence of social categories. I also show that this is due to the structure of the collaboration network and that similar patterns arise in two real-world collaboration networks.

Kevin Davey claims that the justification of the second law of thermodynamics as it is conveyed by the “standard story” of statistical mechanics, roughly speaking, that low-entropy microstates tend to evolve to high-entropy microstates, is “unhelpful at best and wrong at worst.” In reply, I demonstrate that Davey’s argument for rejecting the standard story commits him to a form of skepticism that is more radical than the position he claims to be stating and that Davey places unreasonable demands on the notion of justification in the physical sciences.

The social scientist is now applying his knowledge and skills in various fields. But in the American trade-union movement he faces unusual problems. His challenges are essentially those of determining how to serve, and how to implant a belief in the value of his findings and reports. There is no widespread acceptance of the conclusion that he can make a real contribution. He is still not considered necessary or likely to be useful in the routine operation of the union or in the development of its policy and tactics. Progress has been made during the last few years in securing his admission to the staff of unions. But much pioneering work has still to be done to obtain frank acknowledgment of his potential usefulness and free acceptance of his experimental, inquiring and critical approaches.

In this article, three descriptive models are described and compared in an attempt to discover the minimum number of concepts and relations necessary to an abstract description of social structure. It is argued that a “situational model” which uses the concepts of social time, social space and social role together with the relations of internal structure and external distribution is both adequate to the task and superior to the two other models. The advantages and implications of the situational model are discussed.

Belot, Earman, and Ruetsche (1999) dismiss the black hole remnant proposal as an inadequate response to the Hawking information loss paradox. I argue that their criticisms are misplaced and that, properly understood, remnants do offer a substantial reply to the argument against the possibility of unitary evolution in spacetimes that contain evaporating black holes. The key to understanding these proposals lies in recognizing that the question of where and how our current theories break down is at the heart of these debates in quantum gravity. I also argue that the controversial nature of assessing the limits of general relativity and quantum field theory illustrates the significance of attempts to establish the proper borders of our effective theories.

Professor Everett W. Hall's new book, Modern Science and Human Values, one of the most important to have appeared in the field of Value Theory in the last ten years, shares in rich measure the common characteristic of so many other “prolegomena” to the future discipline of values: it is almost maddeningly frustrating. It sees with crystal clearness the essence of the scientific method and describes it in brilliant detail, from Galileo to Einstein; but it fails to draw a positive moral for value theory. On the contrary, its thesis is thoroughly negative: although value must be known as thoroughly as fact if the world is to survive, the scientific method that has brought us knowledge of fact can never bring us knowledge of value. For fact and value are fundamentally different, fact is known by science in a way that excludes value, and hence, whatever may be the way by which value is to be known, it cannot be science. It is true, science has given the most powerful and incisive formulation to fact while value theory has done nothing of the sort for value. Value theory, therefore, must be brought up to the level of science, otherwise there is danger that we may perish under the impact of science. But how to bring this about, how to construct a value theory as powerful and as representative of value as science is of fact, that is the question which the book can only ask but not answer.

A recent proposal by Dr. W. H. McCrae, cosmologist and mathematician, to the effect that decisions between such cosmogonies as those of Hoyle and of Gamow are experimentally impossible by virtue of a general cosmological indeterminacy principle, is here examined and elaborated upon. Some comments on the “antinomies” in Kant's “Critique of Pure Reason” are made in reference to this principle as well as to the Heisenberg indeterminacy principle. If McCrae's principle is accepted, we will have moved a long way toward Kant's conclusion that a logically consistent understanding of an underlying “ultimate reality” is outside the confines of science—whatever one may think of Kant's own line of reasoning.

Barker and Achinstein misread Goodman's definitions of ‘grue’ and ‘bleen’. If we stick to Goodman's definition of ‘grue’ as applying “to all things examined before t just in case they are green but to other things just in case they are blue” (my italics), and his parallel definition of ‘bleen’, then Barker and Achinstein's arguments are seen to be irrelevant. The result is to by-pass the question whether Mr. Grue sees things as grue rather than as green while showing that it is possible for human conceptual schemes to employ different sensory terms. These two issues are separate.

The article examines the relationship between a trait’s effect on survival and reproduction and the notion of functional efficiency underlying the biostatistical theory of health (BST). BST faces the problem of how to measure a trait’s joint effect on survival and reproduction in its account of function. If one measures the joint effect by means of the biological notion of fitness, examples such as the hereditary breast and ovarian cancer syndrome do not count as a disorder. If one does not invoke biological fitness, it is unclear how to measure the joint effect while keeping to BST’s naturalist credentials.

H. S. Sullivan's approach to the study of psychiatry reflects the fact that his conception of scientific method was derived from work in physics rather than in the biological sciences. His definition of psychiatry as the study of “interpersonal process” appears to have been influenced partly by his previous training in physics, and also by his conclusion that the most significant aspects of personality could be revealed only through an understanding of the person's actual behavior in relation to others.

This article is an attempt to: (a) outline the essential elements in Alfred North Whitehead's theory of “actual entities“; (b) indicate the erroneous nature of a number of widely held interpretations and criticisms of his speculative scheme; (c) state criticisms which seem legitimately applicable to Whitehead's cosmology.

Whitehead's theory of actual entities can only be understood if one continually bears in mind Whitehead's purpose in formulating this theory and the method which he uses in his project.