Regulative virtue epistemology argues that intellectual virtues can adjust and guide one’s epistemic actions as well as improve on the quality of the epistemic actions. For regulative virtue epistemologists, intellectual virtues can be cultivated to a higher degree; when the quality of intellectual virtue is better, the resulting quality of epistemic action is better. The intellectual virtues that regulative epistemologists talk about are character virtues (such as intellectual courage and open-mindedness) rather than faculty virtues (such as sight and hearing), since (...) they don’t think that faculty virtues could be cultivated. This article refers to Xunzi’s philosophy, explaining how a regulative faculty-based virtue epistemology is possible. If this explanation works, on the one hand, a new branch of contemporary virtue epistemology is shown, and, on the other hand, a clear theoretical framework of Xunzi’s epistemology is constructed. (shrink)

Programming languages are, at the same time, instruments and communicative artifacts that evolve rapidly through use. In this paper I describe an online computing platform called BioBike. BioBike is a trading zone where biologists and programmers collaborate in the development of an extended vocabulary and functionality for computational genomics. In the course of this work they develop interactional expertise with one another’s domains. The extended BioBike vocabulary operates on two planes: as a working programming language, and as a pidgin in (...) the conversation between the biologists and engineers. The flexibility that permits this community to dynamically extend BioBike’s working vocabulary—to form new pidgins—makes BioBike unique among computational tools, which usually are not themselves adapted through the collaborations that they facilitate. Thus BioBike is itself a crucial feature—which it is tempting to refer to as a participant—in the developing interaction.Keywords: Trading zones; Collaboration; Interactional expertise; Genomics; Computer programming languages; Lisp. (shrink)

Recent experimental philosophy arguments have raised trouble for philosophers' reliance on armchair intuitions. One popular line of response has been the expertise defense: philosophers are highly-trained experts, whereas the subjects in the experimental philosophy studies have generally been ordinary undergraduates, and so there's no reason to think philosophers will make the same mistakes. But this deploys a substantive empirical claim, that philosophers' training indeed inculcates sufficient protection from such mistakes. We canvass the psychological literature on expertise, which indicates that people (...) are not generally very good at reckoning who will develop expertise under what circumstances. We consider three promising hypotheses concerning what philosophical expertise might consist in: (i) better conceptual schemata; (ii) mastery of entrenched theories; and (iii) general practical know-how with the entertaining of hypotheticals. On inspection, none seem to provide us with good reason to endorse this key empirical premise of the expertise defense. (shrink)

In: E. Vargios (ed.), Educational Psychology Research Focus, pp.1-26. Nova Science Publishers, Hauppauge, NY. 2007.

This article challenges the common view that improvements in critical thinking are best pursued by investigations in informal logic. From the perspective of research in psychology and neuroscience, hu-man inference is a process that is multimodal, parallel, and often emo-tional, which makes it unlike the linguistic, serial, and narrowly cog-nitive structure of arguments. At-tempts to improve inferential prac-tice need to consider psychological error tendencies, which are patterns of thinking that are natural for peo-ple but frequently lead to mistakes in judgment. (...) This article discusses two important but neglected error ten-dencies: motivated inference and fear-driven inference. (shrink)

Many kinds of creativity result from combination of mental representations. This paper provides a computational account of how creative thinking can arise from combining neural patterns into ones that are potentially novel and useful. We defend the hypothesis that such combinations arise from mechanisms that bind together neural activity by a process of convolution, a mathematical operation that interweaves structures. We describe computer simulations that show the feasibility of using convolution to produce emergent patterns of neural activity that can support (...) cognitive and emotional processes underlying human creativity. (shrink)

A philosopher once asked me: “Paul, how do you collaborate?” He was puzzled about how I came to have more than two dozen co-authors over the past 20 years. His puzzlement was natural for a philosopher, because co-authored articles and books are still rare in philosophy and the humanities, in contrast to science where most current research is collaborative. Unlike most philosophers, scientists know how to collaborate; this paper is about the nature of such procedural knowledge. I begin by discussing (...) three related distinctions found in philosophy and cognitive science: knowledge how vs. knowledge that, procedural vs. declarative knowledge, and explicit vs. implicit knowledge. I then document the prevalence of collaboration in the sciences and its scarcity in philosophy. In order to characterize the sorts of procedural knowledge that make collaborative research possible and fruitful, I discuss how scientists collaborate, how they learn to collaborate, and why they collaborate. Contrary to some recent suggestions by philosophers, I will argue that knowledge how often does not always reduce to knowledge that, and that collaboration has many purposes besides the pursuit of power and resources. The relative scarcity of philosophical collaborations might be explained by the nature of philosophy, if the field is viewed as inherently personal or a priori. But I argue against this view in favor of a more naturalistic one, December 2, 2005 with the implication that the main reason why philosophers do not collaborate more is that they do not know how. My account of collaboration is based on my own experience, published advice by practicing scientists, and interviews with a group of highly successful scientific collaborators who are members of the Social Psychology area of the University of Waterloo Psychology Department. For the past two decades, Waterloo’s social psychology program has flourished, both in collaborative publication and in graduate training: their former Ph.D.. (shrink)