In the early twentieth century psychology became the study of "behavior." This article reviews developments within animal psychology, functional psychology, and American society and culture that help explain how a term rarely used in the first years of the century became not only an accepted scientific concept but even, for many, an all-encompassing label for the entire subject matter of the discipline. The subsequent conceptual and linguistic activity of John B. Watson, Edward C. Tolman, Clark L. Hull, and B.F. Skinner, (...) as they attempted to explain "behavior" throughout the course of the twentieth century, is then discussed. Finally, the article suggests the need for greater conceptual and linguistic diversity in psychology. In this last regard, reference is made to cognition and consciousness, to William James and John Dewey, and to the fact that prediction and control might not be the most relevant aims of contemporary psychology. (shrink)

Theory of mind, the capacity to understand and ascribe mental states, has traditionally been conceptualized as analogous to a scientific theory. However, recent work in philosophy and psychology has documented a "side-effect effect" suggesting that moral evaluations influence mental state ascriptions, and in particular whether a behavior is described as having been performed 'intentionally.' This evidence challenges the idea that theory of mind is analogous to scientific psychology in serving the function of predicting and explaining, rather than evaluating, behavior. In (...) three experiments, we demonstrate that moral evaluations do inform ascriptions of intentional action, but that this relationship arises because behavior that conforms to norms (moral or otherwise) is less informative about underlying mental states than is behavior that violates norms. This analysis preserves the traditional understanding of theory of mind as a tool for predicting and explaining behavior, but also suggests the importance of normative considerations in social cognition. (shrink)

E. C. Tolman's 'purposive behaviorism' is commonly interpreted as an attempt to operationalize a cognitivist theory of learning by the use of the 'Intervening Variable' (IV). Tolman would thus be a counterinstance to an otherwise reliable correlation of cognitivism with realism, and S-R behaviorism with operationalism. A study of Tolman's epistemological background, with a careful reading of his methodological writings, shows the common interpretation to be false. Tolman was a cognitivist and a realist. His 'IV' has been systematically misinterpreted by (...) both behaviorists and antibehaviorists. For this reason, Tolman's alliance with modern cognitivism and his influence on its development have been underestimated. (shrink)

B. F. Skinner's claim that "operant behavior is essentially the field of purpose" is systematically explored. It is argued that Charles Taylor's illuminating analysis of the explanatory significance of common-sense goal-ascriptions (1) lends some (fairly restricted) support to Skinner's claim, (2) considerably clarifies the conceptual significance of differences between operant and respondent behavior and conditioning, and (3) undercuts influential assertions (e.g., Taylor's) that research programs for behavioristic psychology share a "mechanistic" orientation. A strategy is suggested for assessing the plausibility of (...) Skinner's broader claims about the adequacy of the operant behaviorist program for the analysis of purposive behavior. (shrink)

Computational models of learning and the theories they represent are often validated by calibrating them to human data on decision outcomes. However, only a few models explain the process by which these decision outcomes are reached. We argue that models of learning should be able to reflect the process through which the decision outcomes are reached, and validating a model on the process is likely to help simultaneously explain both the process as well as the decision outcome. To demonstrate the (...) proposed validation, we use a large dataset from the Technion Prediction Tournament and an existing Instance-based Learning model. We present two ways of calibrating the model’s parameters to human data: on an outcome measure and on a process measure. In agreement with our expectations, we find that calibrating the model on the process measure helps to explain both the process and outcome measures compared to calibrating the model on the outcome measure. These results hold when the model is generalized to a different dataset. We discuss implications for explaining the process and the decision outcomes in computational models of learning. (shrink)

This article examines the study of mind and behavior at the University of Chicago through the career of Charles Judson Herrick, neuroanatomist and psychobiologist. Herrick’s views on human nature, education, and social control are discussed in the context of the progressive evolutionism pervading the university in the early twentieth century. The religious background of Herrick’s work is important to understanding the service ethos that permeated his science, which was also the basis of his interest in pragmatism and of his opposition (...) to certain tenets of behaviorism. Herrick was dedicated to interdisciplinary collaboration, which he thought crucial to the development of psychobiology. His relationship with Karl S. Lashley in the 1920s is analyzed. Their disagreements about the relationship between science and humanism, as revealed in their views on behaviorism, did not prevent them from working together to articulate a holistic theory of brain function and learning. (shrink)