Practical ethics can greatly benefit from the work in cognitive science. Cognitive science boasts substantial research and data on how people think, reason, and process information, as well as on the nature of the mind. I argue that cognitive science research and data are invaluable to investigating how people conduct themselves as they plod through practical moral problems. I discuss three reasons why practical ethics should be interested in cognitive science: cognitive science : helps us to better understand how people (...) reason and offers theories about underlying mental processes; offers substantive discussion on normative accounts of reason and rationality; and provides insight into the nature of the human mind which may ground morality qua a human enterprise. (shrink)

In his early experimental work with Suppes, Davidson adopted rationality assumptions, not as necessary constraints on interpretation, but as practical conceits in addressing methodological problems faced by experimenters studying decision making under uncertainty. Although the content of their theory has since been undermined, their methodological approach—a Galilean form of methodological rationalism—lives on in contemporary psychological research. This article draws on Max Weber’s verstehen to articulate an account of Galilean methodological rationalism; explains how anomalies faced by Davidson’s early experimental work gave (...) rise to his later, canonical claims about rationality and interpretation; and reclaims this Galilean framework for use in contemporary psychological research. (shrink)

In recent years evolutionary psychologists have developed and defended the Massive Modularity Hypothesis, which maintains that our cognitive architecture—including the part that subserves ‘central processing’ —is largely or perhaps even entirely composed of innate, domain-specific computational mechanisms or ‘modules’. In this paper I argue for two claims. First, I show that the two main arguments that evolutionary psychologists have offered for this general architectural thesis fail to provide us with any reason to prefer it to a competing picture of the (...) mind which I call the Library Model of Cognition. Second, I argue that this alternative model is compatible with the central theoretical and methodological commitments of evolutionary psychology. Thus I argue that, at present, the endorsement of the Massive Modularity Hypothesis by evolutionary psychologists is both unwarranted and unmotivated. (shrink)

ABSTRACTThe work of Daniel Kahneman and his colleagues has established that people do not always think and act “rationally.” However, this amounts to saying that Kahneman and his collaborators interpret people's behavior in experimental settings to be inconsistent with the narrow understanding of rationality deployed by orthodox neoclassical economists. Whether this means that people make poor decisions in the real world, however, has not been demonstrated, a fact that calls into doubt the significance of the list of heuristics and biases (...) generated by behavioral economists. Dual-process theory was meant to give theoretical coherence to this list, but its empirical foundation, too, retains the premises of “rational” choice as an ideal. (shrink)

In this dissertation I defend five claims about trust: 1) trusting and trustworthiness are conceptually but not causally connected; 2) trust is risky; 3) trust requires good will; 4) trust is a two-part relation; and 5) trust is an interpretative framework. A concern for trust often appears in discussions about testimony and the expectation of truthfulness; Bentley Glass, John Hardwig, and Jonathan Adler each address the role of trust in science while assuming a necessary connection between trusting and trustworthiness. I (...) argue that this conception is untenable because a justification for one fails to suffice as a justification of the other. I show, instead, that it is our assessment that links trustworthiness to trusting. My second claim, that trust involves risk, is contentious. I argue that the common understanding of risk as harm, which is held by Russell Hardin, contains the more technical understanding of risk as uncertainty, which is suggested by Niklas Luhman. Trust is risky precisely because it is inherently uncertain. Annette Baier argues that failing to recognize a distinction between trusting and action associated with that trust leads us to accept accounts of trust that are too broad. I argue that trust is to believe that another is concerned with your well-being, has good will, because she is concerned about you and not that it will necessarily benefit her in some way. Seeing trust as good will allows me to advance my fourth claim, that trust is a two-part relation, because trust is the assessment of another's good will towards me. Trusting another is believing that the other's good judgment will include concern and consideration for my interests because they are my interests. My fifth point follows naturally once trust is understood to be a risky, two-part relation requiring good will: it is an interpretive framework. Our trust in another sets the tone for understanding her behavior such that we take her actions as either supporting or blocking our interests. This account takes the capacity to trust to be the foundation for, rather than merely an outgrowth of, our judgments. (shrink)

The growing acceptance and success of experimental economics has increased the interest of researchers in tackling philosophical and methodological challenges to which their work increasingly gives rise. I sketch some general issues that call for the combined expertise of experimental economists and philosophers of science, of experiment, and of inductive‐statistical inference and modeling. †To contact the author, please write to: 235 Major Williams, Virginia Tech, Blacksburg, VA 24061‐0126; e‐mail: [email protected].