How research in behavioral pharmacology informs behavioral science

Behavioral pharmacology is a maturing science that has made significant contributions to the study of drug effects on behavior, especially in the domain of drug-behavior interactions. Less appreciated is that research in behavioral pharmacology can have, and has had, implications for the experimental analysis of behavior, especially its conceptualizations and theory. In this article, I outline three general strategies in behavioral pharmacology research that have been employed to increase understanding of behavioral processes. Examples are provided of the general characteristics of the strategies and of implications of previous research for behavior theory. Behavior analysis will advance as its theories are challenged.     

Methodological observations on applied behavioral science

Policy makers and administrators have become frustrated with single-subject designs because these designs appear unable, at first blush, to provide them with essential information that they can use in planning or change at the organizational or institutional level of management. Practitioners have become frustrated with prior exclusive reliance on traditional group experimental designs because they fail to provide useful information for conducting therapy or delivering services. The following article by Professor Gingerich makes a large and important contribution toward mitigating these two apparently divergent needs. Gingerich describes how meta-analysis can provide useful information for managers through aggregations of data obtained from single-subject, time-series designs. The article also discusses the use of meta-analysis of time-series data as a basis for improving the quality of scientific investigations.     

Hume's Conclusion

Philosophical Studies -     

Hume's Reason

Book Information Hume's Reason. By D. Owen. Oxford University Press. Oxford. 1999. Pp. x + 234. Hardback, £30.00.     

Hume's Experimental Method

In this article I attempt to reconstruct David Hume's use of the label ‘experimental’ to characterise his method in the Treatise. Although its meaning may strike the present-day reader as unusual, such a reconstruction is possible from the background of eighteenth-century practices and concepts of natural inquiry. As I argue, Hume's inquiries into human nature are experimental not primarily because of the way the empirical data he uses are produced, but because of the way those data are theoretically processed. He seems to follow a method of analysis and synthesis quite similar to the one advertised in Newton's Opticks, which profoundly influenced eighteenth-century natural and moral philosophy. This method brings him much closer to the methods of qualitative, chemical investigations than to mechanical approaches to both nature and human nature.     

Computerized process control in behavioral science research

A general approach to the design and development of real-time operating systems is discussed. Operating system design for small to medium scale laboratory computers is described at a moderately elementary level. Analysis of system design as a supervisory control hierarchy is presented in an attempt to bridge the gap between an elementary general understanding of computer operation and the more sophisticated understanding assumed by the writers of most computer systems operator’s manuals. PROSS, a programming language developed at Indiana University, is presented as an example of the highest level of supervisory control.     

Hume's Puzzle About Identity

Philosophical Studies -     

Hume's Inductive Logic

This paper presents a new account of Hume’s “probability of causes”. There are two main results attained in this investigation. The first, and perhaps the most significant, is that Hume developed – albeit informally – an essentially sound system of probabilistic inductive logic that turns out to be a powerful forerunner of Carnap’s systems. The Humean set of principles include, along with rules that turn out to be new for us, well known Carnapian principles, such as the axioms of semiregularity, symmetry with respect to individuals (exchangeability), predictive irrelevance and positive instantial relevance. The second result is that Hume developed an original conception of probability, which is subjective in character, although it differs from contemporary personalistic views because it includes constraints that are additional to simple consistency and do not vary between different persons. The final section is a response to Gower’s thesis, by which Hume’s probability of causes is essentially non-Bayesian in character. It is argued that, on closer examination, Gower’s reading of the relevant passages is untenable and that, on the contrary, they are in accordance with the Bayesian reconstruction presented in this paper. This revised version was published online in June 2006 with corrections to the Cover Date.