Scientific Progress,Understanding, and Knowledge: Reply to Park

Dellsén (2016) has recently argued for an understanding-based account of scientific progress, the noetic account, according to which science (or a particular scientific discipline) makes cognitive progress precisely when it increases our understanding of some aspect of the world. I contrast this account with Bird’s (2007, 2015); epistemic account, according to which such progress is made precisely when our knowledge of the world is increased or accumulated. In a recent paper, Park (2017) criticizes various aspects of my account and his arguments in favor of the noetic account as against Bird’s epistemic account. This paper responds to Park’s objections. An important upshot of the paper is that we should distinguish between episodes that constitute and promote scientific progress, and evaluate account of scientific progress in terms of how they classify different episodes with respect to these categories.     

Rational understanding: toward a probabilistic epistemology of acceptability

Synthese - To understand something involves some sort of commitment to a set of propositions comprising an account of the understood phenomenon. Some take this commitment to be a species of belief;...     

Understanding without Justification or Belief

In recent years there has been a resurgence of interest among epistemologists in the nature of understanding, with some authors arguing that understanding should replace knowledge as the primary focus of epistemology. But what is understanding? According to what is often called the standard view, understanding is a species of knowledge. Although this view has recently been challenged in various ways, even the critics of the standard view have assumed that understanding requires justification and belief. I argue that it requires neither. If sound, these arguments have important upshots not only for the nature of understanding, but also for its distinctive epistemic value and its role in contemporary epistemology.     

Explanatory Consolidation: From ‘Best’ to ‘Good Enough’

In science and everyday life, we often infer that something is true because it would explain some set of facts better than any other hypothesis we can think of. But what if we have reason to believe that there is a better way to explain these facts that we just haven’t thought of? Wouldn’t that undermine our warrant for believing the best available explanation? Many philosophers have assumed that we can solve such underconsideration problems by stipulating that a hypothesis should not only be ‘the best’ explanation available; rather, it should also be ‘good enough’. Unfortunately, however, the only current suggestion for what it might mean to say that an explanation is ‘good enough’ is, well, not good enough. This paper aims to provide a better account of what is required for an explanatory hypothesis to be considered ‘good enough’. In brief, the account holds that a ‘good enough’ hypothesis is one that has gone through a process that I call explanatory consolidation, in which accumulating evidence and failed attempts to formulate better alternatives gradually make it more plausible that the explanation we currently have is better than any other that could be formulated.     

The epistemic impact of theorizing: generation bias implies evaluation bias

It is often argued that while biases routinely influence the generation of scientific theories (in the ‘context of discovery’), a subsequent rational evaluation of such theories (in the ‘context of justification’) will ensure that biases do not affect which theories are ultimately accepted. Against this line of thought, this paper shows that the existence of certain kinds of biases at the generation-stage implies the existence of biases at the evaluation-stage. The key argumentative move is to recognize that a scientist who comes up with a new theory about some phenomena has thereby gained an unusual type of evidence, viz. information about the space of theories that could be true of the phenomena. It follows that if there is bias in the generation of scientific theories in a given domain, then the rational evaluation of theories with reference to the total evidence in that domain will also be biased.

     

The epistemic value of expert autonomy

According to an influential Enlightenment ideal, one shouldn’t rely epistemically on other people's say-so, at least not if one is in a position to evaluate the relevant evidence for oneself. However, in much recent work in social epistemology, we are urged to dispense with this ideal, which is seen as stemming from a misguided focus on isolated individuals to the exclusion of groups and communities. In this paper, I argue that that an emphasis on the social nature of inquiry should not lead us to entirely abandon the Enlightenment ideal of epistemically autonomous agents. Specifically, I suggest that it is an appropriate ideal for those who serve as experts in a given epistemic community, and develop a notion of expert acceptance to make sense of this. I go on to show that, all other things being equal, this kind of epistemic autonomy among experts makes their joint testimony more reliable, which in turn brings epistemic benefits both to laypeople and to experts in other fields.     

When Expert Disagreement Supports the Consensus

It is often suggested that disagreement among scientific experts is a reason not to trust those experts, even about matters on which they are in agreement. In direct opposition to this view, I argue here that the very fact that there is disagreement among experts on a given issue provides a positive reason for non-experts to trust that the experts really are justified in their attitudes towards consensus theories. I show how this line of thought can be spelled out in three distinct frameworks for non-deductive reasoning: namely, Bayesian Confirmation Theory, Inference to the Best Explanation, and Inferential Robustness Analysis.     

Promotion as contrastive increase in expected fit

Philosophical Studies - What is required for an action to promote the satisfaction of a desire? We reject extant answers and propose an alternative. Our account differs from competing answers in...