Nearly thirty years after the first stirrings of the Kuhnian revolution, history and philosophy of science continues to galvanize methodological discussions in all corners of the academy except its own. Evidence for this domestic stagnation appears in Warren Schmaus's thoughtful review of Social Epistemology in which Schmaus takes for granted that history of science is the ultimate court of appeal for disputes between philosophers and sociologists. As against this, this essay argues that such disputes may be better treated by experimental (...) psychology. Humanistic methods typically (though not always) blind the historian to cognitive biases and limitations that make it difficult for philosophers and sociologists to mobilize historical research for settling their differences. It is also observed that the failure of philosophers to incorporate the methods and findings of experiemental psychology is symptomatic of an artificially restrictive understanding of the normative dimension of their enterprise. (shrink)

How can it be rational to work on a new theory that does not yet meet the standards for good or acceptable theories? If diversity of approaches is a condition for scientific progress, how can a scientific community achieve such progress when each member does what it is rational to do, namely work on the best theory? These two methodological problems, the problem of pursuit and the problem of diversity, can be solved by taking into account the cognitive risk that (...) is involved in theory choice. I compare this solution to other proposals, in particular T. S. Kuhn's and P. Kitcher's view that the two problems demonstrate the epistemic significance of the scientific community. (shrink)

How do people make deductions? The orthodox view in psychology is that they use formal rules of inference like those of a “natural deduction” system.Deductionargues that their logical competence depends, not on formal rules, but on mental models. They construct models of the situation described by the premises, using their linguistic knowledge and their general knowledge. They try to formulate a conclusion based on these models that maintains semantic information, that expresses it parsimoniously, and that makes explicit something not directly (...) stated by any premise. They then test the validity of the conclusion by searching for alternative models that might refute the conclusion. The theory also resolves long-standing puzzles about reasoning, including how nonmonotonic reasoning occurs in daily life. The book reports experiments on all the main domains of deduction, including inferences based on prepositional connectives such as “if” and “or,” inferences based on relations such as “in the same place as,” inferences based on quantifiers such as “none,” “any,” and “only,” and metalogical inferences based on assertions about the true and the false. Where the two theories make opposite predictions, the results confirm the model theory and run counter to the formal rule theories. Without exception, all of the experiments corroborate the two main predictions of the model theory: inferences requiring only one model are easier than those requiring multiple models, and erroneous conclusions are usually the result of constructing only one of the possible models of the premises. (shrink)

This paper reports a psychological study of human categorization that looked at the procedures used by expert scientists when dealing with puzzling items. Five professional botanists were asked to specify a category from a set of positive and negative instances. The target category in the study was defined by a feature that was unusual, hence situations of uncertainty and puzzlement were generated. Subjects were asked to think aloud while solving the tasks, and their verbal reports were analyzed. A number of (...) problem solving strategies were identified, and subsequently integrated in a model of knowledge‐guided inductive categorization. Our model proposes that expert knowledge influences the subjects' reasoning in more complex ways than suggested by earlier investigations of scientific reasoning. As in previous studies, domain knowledge influenced our subjects' hypothesis generation and testing; but, additionally, it played a central role when subjects revised their hypotheses. (shrink)

This paper presents an analysis of emotional and affectively toned discourse in biomedical engineering researchers’ accounts of their problem solving practices. Drawing from our interviews with scientists in two laboratories, we examine three classes of expression: explicit, figurative and metaphorical, and attributions of emotion to objects and artifacts important to laboratory practice. We consider the overall function of expressions in the particular problem solving contexts described. We argue that affective processes are engaged in problem solving, not as simply tacked onto (...) reasoning but as integral to it. The examples we present illustrate the close relation of emotion to problem solving and experimentation; they also implicate social and cultural dimensions of emotion expression. The analysis underscores a need to consider emotional expression to be intimately and importantly tied to the cognitive achievements and social negotiations of laboratory practices. (shrink)

Designing, building, and experimenting with physical simulation models are central problem‐solving practices in the engineering sciences. Model‐based simulation is an epistemic activity that includes exploration, generation and testing of hypotheses, explanation, and inference. This paper argues that to interpret and understand how these simulation models function in creating knowledge and technologies requires construing problem solving as accomplished by a researcher–artifact system. It draws on and further develops the framework of “distributed cognition” to interpret data collected in ethnographic and cognitive‐historical studies (...) of two biomedical engineering research laboratories, and articulates the notion of distributed model‐based cognition to answer the question posed in the title. (shrink)

Counterintuitive concepts have been identified as major aspects of religious belief, and have been used to explain the retention and transmission of such beliefs. To resolve some inconsistencies in the literature concerning counterintuitiveness, we conducted three experiments to study the effect of context on recall. Five types of items were used: intuitive, minimally counterintuitive, maximally counterintuitive, minimally counterintuitive with contradictory context, and intuitive with contradictory context. Items were presented with context or without context and participants were asked to recall them. (...) Maximally counterintuitive concepts were found to have the poorest recall in both immediate and delayed recall conditions and regardless of the presence or absence of context. No significant differences were found in the recall rates of minimally counterintuitive concepts and intuitive concepts, although delayed recall affected minimally counterintuitive concepts less than intuitive concepts, suggesting the possibility of differential "fitness." Presence of contradictory context was found to be able to change minimally counterintuitive items into the functional equivalents of intuitive items. When relevant context was present, minimally counterintuitive concepts were recalled significantly better than intuitive concepts, which is consistent with the findings of Barrett & Nyhof. For items presented as lists, intuitive items were recalled better, consistent with the findings of Norenzayan & Atran. Thus, context was the key element affecting recall and the discrepancy among prior studies was resolved. The results imply that no "item-centered" explanation of the formation and transmission of religious concepts can be adequate in itself. Instead, the nature of the surrounding context must be included in any such account. (shrink)

In relatively recent years, quite a number of diverse case studies concerning the use of visual displays—such as graphs, diagrams, tables, pictures, drawings, etc.—in both the physical and biological sciences have been offered in the literature of the history and philosophy of science —see, e.g., Miller 1984; Lynch and Woolgar 1990; Baigrie 1996; Pauwels 2006. These case studies have shown that visual representations fulfill important functions in both the theoretical and experimental practices of science, thereby emphasizing the non-verbal dimension of (...) scientific inquiry that had been neglected by the traditional language-based conception of science, which takes the production, justification and... (shrink)