Measurement theory has only recently become recognized as a legitimate, specialized field of inquiry. This text covers a wide range of issues of central concern to contemporary measurement theorists, and a broad range of philosophical perspectives are represented. The formalist, representationalist approach defines measurement as the assignment of numbers to entities and events to represent their properties and relations. It also states that measurement theory is supposed to analyze the concept of a scale of measurement, describe various types of scales and their uses, and formulate the conditions required for the existence of scales of various types. Since this approach dominates contemporary measurement theory, the volume begins with essays by some of its leading architects. In order to allow for diverse points of view, the book also includes articles that attempt to broaden this approach, and several that even criticize the approach.

Measurement theory has only recently become recognized as a legitimate, specialized field of inquiry. This text covers a wide range of issues of central concern to contemporary measurement theorists, and a broad range of philosophical perspectives are represented. The formalist, representationalist approach defines measurement as the assignment of numbers to entities and events to represent their properties and relations. It also states that measurement theory is supposed to analyze the concept of a scale of measurement, describe various types of scales and their uses, and formulate the conditions required for the existence of scales of various types. Since this approach dominates contemporary measurement theory, the volume begins with essays by some of its leading architects. In order to allow for diverse points of view, the book also includes articles that attempt to broaden this approach, and several that even criticize the approach.

The Handbook Philosophy of Technology and Engineering Sciences addresses numerous issues in the emerging field of the philosophy of those sciences that are involved in the technological process of designing, developing and making of new technical artifacts and systems. These issues include the nature of design, of technological knowledge, and of technical artifacts, as well as the toolbox of engineers. Most of these have thus far not been analyzed in general philosophy of science, which has traditionally but inadequately regarded technology as mere applied science and focused on physics, biology, mathematics and the social sciences. - First comprehensive philosophical handbook on technology and the engineering sciences - Unparalleled in scope including explorative articles - In depth discussion of technical artifacts and their ontology - Provides extensive analysis of the nature of engineering design - Focuses in detail on the role of models in technology

Foundations of Measurement offers the most coherently organized treatment of the topics and issues central to measurement. Much of the research involved has been scattered over several decades and a multitude of journals--available in many instances only to specialties. With the publication of Volumes two and three of this important work, Foundations of Measurement is the most comprehensive presentation in the area of measurement.

What are physical quantities, and in particular, what makes them quantitative? This book articulates and defends an original answer to this important, insufficiently understood question through the novel position of substantival structuralism. This position argues that quantitativeness is an irreducible feature of attributes, and quantitative attributes are best understood as substantival structured spaces. The book first explores what it means for an attribute to be quantitative, and what metaphysical implications a commitment to quantitative attributes has. It then sets the stage to address the metaphysical and ontological consequences of the existence of quantitative attributes.

All of the sciences―physical, biological, and social―have a need for quantitative measurement. This influential series, Foundations of Measurement, established the formal foundations for measurement, justifying the assignment of numbers to objects in terms of their structural correspondence. Volume I introduces the distinct mathematical results that serve to formulate numerical representations of qualitative structures. Volume II extends the subject in the direction of geometrical, threshold, and probabilistic representations, and Volume III examines representation as expressed in axiomatization and invariance.

All of the sciences — physical, biological, and social — have a need for quantitative measurement. This influential series, Foundations of Measurement, established the formal basis for measurement, justifying the assignment of numbers to objects in terms of their structural correspondence. Volume I introduces the distinct mathematical results that serve to formulate numerical representations of qualitative structures. Volume II extends the subject in the direction of geometrical, threshold, and probabilistic representations, and Volume III examines representation as expressed in axiomatization and invariance.

This book presents current multidisciplinary research and theory from 17 different fields (most of them never before applied to literary explication) in order to provide (1) justification for the practice of a relative-probability type of explication as distinguished from interpretation, (2) a relativistic foundation for the preference of some explication(s) of a literary work over others, and thereby (3) a middle way between the postmodern pluralist view that a work has only an unlimited number of equally acceptable though different explications and the modern intentionalist view that it has only one acceptable explication (the author’s). Nine of the 17 fields are of primary relevance: critical theory, hermeneutics, probability theory, philosophy of science, second-order logic, and four fields of cognitive science (linguistics, epistemology, neuropsychology, and artificial intelligence). But the book also touches upon textual criticism, legal theory, measure theory, fuzzy logic, animal learning behavior, developmental psychology, evolutionary epistemology, and neurobiology. The book shows that those using a relative-probability type of explication on a literary work can achieve consensus because the healthy, adult human brain has an evolved, uniform, and probably innate ability to form relative-probability judgments and to form them in the practice of activities (like reading and explicating) that are not uniform and innate. Lastly, the book contributes to the scholarly areas of explication theory and practice, first, by providing a relativistic foundation for a craft (explication) that currently is not acknowledged to have any foundation but nonetheless continues and will continue to be practiced and, second, by presenting a means (relative epistemic probability) by which judging some explication(s) of a literary work to be more acceptable than others may be justified philosophically—an uncommon circumstance in this postmodern era in which philosophical justification of many beliefs and practices is thought to be untenable.

This volume is the result of a conference held at the University of California, Irvine, on the topics that provide its title -- choice, decision, and measurement. The conference was planned, and the volume prepared, in honor of Professor R. Duncan Luce on his 70th birthday. Following a short autobiographical statement by Luce, the volume is organized into four topics, to each of which Luce has made significant contributions. The book provides an overview of current issues in each area and presents some of the best recent theoretical and empirical work. Personal reflections on Luce and his work begin each section. These reflections were written by outstanding senior researchers: Peter Fishburn (Preference and Decision Making), Patrick Suppes (Measurement Theory and Axiomatic Systems), William J. McGill (Psychophysics and Reaction Time), and W.K. Estes (Choice, Identification and Categorization). The first section presents recent theoretical and empirical work on descriptive models of decision making, and theoretical results on general probabilistic models of choice and ranking. Luce's recent theoretical and empirical work on rank- and sign-dependent utility theory is important in many of these contributions. The second section presents results from psychophysics, probabilistic measurement, aggregation of expert opinion, and test theory. The third section presents various process oriented models, with supportive data, for tasks such as redundant signal detection, forced choice, and absolute identification. The final section contains theory and data on categorization and attention, and general theoretical results for developing and testing models in these domains.