Chad Gonnerman

Jennifer Nagel (2010) has recently proposed a fascinating account of the decreased tendency to attribute knowledge in conversational contexts in which unrealized possibilities of error have been mentioned. Her account appeals to epistemic egocentrism, or what is sometimes called the curse of knowledge, an egocentric bias to attribute our own mental states to other people (and sometimes our own future and past selves). Our aim in this paper is to investigate the empirical merits of Nagel’s hypothesis about the psychology involved in knowledge attribution.

One way to articulate the promise of interdisciplinary research is in terms of the relationship between knowledge and ignorance. Disciplinary research yields deep knowledge of a circumscribed range of issues, but remains ignorant of those issues that stretch outside its purview. Because complex problems such as climate change do not respect disciplinary boundaries, disciplinary research responses to such problems are limited and partial. Interdisciplinary research responses, by contrast, integrate disciplinary perspectives by combining knowledge about different issues and as a result reduce ignorance about more aspects of the problem. In this paper, we develop this idea and argue that while interdisciplinary research can help remediate damaging ignorance about complex problems, it also creates conditions in which other damaging forms of ignorance can arise. We illustrate this point in detail with three case studies before discussing three implications of our analysis for identifying and managing deleterio...

Recently Joshua Knobe and Erica Roedder found that folk attributions of valuing tend to vary according to the perceived moral goodness of the object of value. This is an interesting finding, but it remains unclear what, precisely, it means. Knobe and Roedder argue that it indicates that the concept MORAL GOODNESS is a feature of the concept VALUING. In this article, I present a study of folk attributions of desires and moral beliefs that undermines this conclusion. I then propose the beginnings of an alternative interpretation of the data that appeals to intrinsic biases in our third-person mindreading mechanisms.