According to the evolutionary sceptic, the fact that our cognitive faculties evolved radically undermines their reliability. A number of evolutionary epistemologists have sought to refute this kind of scepticism. This paper accepts the success of these attempts, yet argues that refuting the evolutionary sceptic is not enough to put any particular domain of beliefs – notably scientific beliefs, which include belief in Darwinian evolution – on a firm footing. The paper thus sets out to contribute to this positive justificatory project, (...) underdeveloped in the literature. In contrast to a ‘wholesale’ approach, attempting to secure justification for all of our beliefs on the grounds that our belief-forming mechanisms evolved to track truth, we propose a ‘piecemeal’ approach of assessing the reliability of particular belief-forming mechanisms in particular domains. This stands in contrast to the more familiar attempt to transfer warrant obtained for one domain to another by showing how one is somehow an extension of the other. We offer a naturalist reply to the charge of circularity by appealing to reliabilist work on the problem of induction, notably Peter Lipton's distinction between self-certifying and non-self-certifying inductive arguments. We show how, for scientific beliefs, a non-self-certifying argument might be made for the reliability of our cognitive faculties in that domain. We call this strategy Humean Bootstrapping. (shrink)

The cognitive science of religion sets out a naturalistic account of religion, in which religious phenomena are grounded in evolved cognitive and moral intuitions. This has important implications f...

The evolutionary debunking argument advanced by Sharon Street, Michael Ruse, and Richard Joyce employs the logic of Paul Griffiths and John Wilkins to contend that humans cannot have knowledge of moral truths, since the evolutionary process that has produced our basic moral intuitions lacks causal connections to those (putative) truths. Yet this argument is self-defeating, because its aim is the categorical, normative claim that we should suspend our moral beliefs in light of the discoveries about their non-truth-tracking origins, when it (...) is precisely this claim that relies upon the normativity under attack. This article cites Charles S. Peirce (1839–1914) to argue that such self-defeat can be avoided by expanding upon the basic structure of the argument put forth by Griffiths and Wilkins, provided that one embraces a version of realism that corresponds with Peirce's doctrine of final causation. So construed, final causation reconciles real generals (including real moral values) with natural selection and undergirds further speculation of moral facts within values per se. (shrink)

Recently, various philosophers have argued that we can obtain knowledge via the imagination. In particular, it has been suggested that we can come to know concrete, empirical matters of everyday significance by appropriately imagining relevant scenarios. Arguments for this thesis come in two main varieties: black box reliability arguments and constraints-based arguments. We suggest that both strategies are unsuccessful. Against black-box arguments, we point to evidence from empirical psychology, question a central case-study, and raise concerns about a (claimed) evolutionary rationale (...) for the imagination's reliability. Against the constraints-based account, we argue that to the extent that it works, this does not give rise to knowledge that is distinctively from the imagination. We conclude by suggesting that the imagination's role in raising possibilities, traditionally seen as part of the context of discovery, can in fact play a role in justification, including as a bulwark against certain sorts of skepticism. (shrink)

Recent literature has paid attention to a demarcation problem for evolutionary debunking arguments. This is the problem of asking in virtue of what regulative metaepistemic norm evolutionary considerations either render a belief justified, or debunk it as unjustified. I examine the so-called ‘Milvian Bridge principle’ A new science of religion, Routledge, New York, 2012; Sloan, McKenny, Eggelson Darwin in the 21st century: nature, humanity, and God, University Press, Notre Dame, 2015)), which offers exactly such a called for regulative metaepistemic norm. (...) The Milvian Bridge principle suggests that the metaepistemic norm is: adaptive reliability for truth of cognitive processes that the existence of corresponding truth-making facts evolutionary theory justifies. I argue that the Milvian Bridge principle is problematic on a number of counts, something that is shown via spiraling ‘companions in guilt arguments’. Finally, I consider ‘the core reductionist objection’ to the critique of the Milvian Bridge principle and offer a response. I conclude that the Milvian Bridge principle is destabilized. (shrink)

I argue that, at least on the assumption that if there are epistemic facts they are irreducible, the evolutionary debunking maneuver is prima facie self-debunking because it seems to debunk a certain class of facts, namely, epistemic facts that prima facie it needs to rely on in order to launch its debunking arguments. I then appeal to two recent reconstructions of the evolutionary debunking maneuver (Kahane (2011), Griffiths and Wilkins (2015)) and find them wanting. Along the way I set aside (...) two ways (one envisaged, the other by Sterpetti (2015)) to avoid the self-debunking problem that I find unpromising. I conclude that the evolutionary debunking maneuver needs to clarify the meta-epistemological commitments upon which it is supposed to operate. (shrink)

There is a substantial literature on evolutionary debunking arguments (EDAs) in metaethics. According to these arguments, evolutionary explanations of our moral beliefs pose a significant problem for moral realism, specifically by committing the realist to an unattractive pessimism about the prospects of our having moral knowledge. In this paper, I argue that EDAs exploit an equivocation between two distinct readings of their central claim. One is plausibly true but has no epistemic relevance, and the other would have epistemic consequences for (...) realism, but is false. If I'm right, this undermines attempts to use evolutionary explanations to debunk belief in other domains too. (shrink)

What, if any, are the limits of human understanding? Epistemic pessimists, sobered by our humble evolutionary origins, have argued that some parts of the universe will forever remain beyond our ken. But what exactly does it mean to say that humans are ‘cognitively closed’ to some parts of the world, or that some problems will forever remain ‘mysteries’? In this paper we develop a richer conceptual toolbox for thinking about different forms and varieties of cognitive limitation, which are often conflated (...) by the so-called ‘new mysterians’. We distinguish between representational access and imaginative understanding, as well as between different modalities of cognitive limitation. Next, we look at tried-and-tested strategies for overcoming our innate cognitive limitations, drawing from the literature on distributed cognition and cognitive scaffolding’. This allows us to distinguish between the limits of bare brains vs. scaffolded brains. Most importantly, we argue that this panoply of mind-extension devices is combinatorial and open-ended. In the end, this allows us to turn the table on the mysterians: for every alleged ‘mystery’, they should demonstrate that no possible combination of mind extension devices will bring us any closer to a solution. (shrink)

Evolutionary debunking arguments seek to infer from the evolutionary origin of human beliefs about a particular domain to the conclusion that those beliefs are unjustified. In this paper I discuss EDAs with respect to our everyday, commonsense beliefs. Those who seriously entertain EDAs for commonsense argue that natural selection does not care about truth, it only cares about fitness, and thus it will equip us with beliefs that are useful rather than true. In recent work Griffiths and Wilkins argue that (...) this is a mistake. Fitness-tracking and truth-tracking are not rival, but rather potentially complementary, hypotheses about the function of our cognitive belief-forming systems. It may be that those systems maximise fitness by tracking the truth. I argue that while they are right about the standard EDAs for commonsense, the threat of evolutionary scepticism remains, because cognitive systems whose function is to track the truth may still be highly unreliable. I propose an alternative, Moorean approach to vindicating our commonsense picture of the world and dispelling the threat of scepticism. Once this has been established, however, we may appeal to evolution to explain the good fit between our cognition and the world. I thus propose that an evolutionary explanatory project ought to replace the troubled evolutionary justificatory project. This ought to be appealing to those such as Griffiths and Wilkins who seek a naturalistic non-sceptical account of our commonsense beliefs and their origins. (shrink)

In this paper, I discuss what Cognitive Science of Religion is and what its implications are for theism and the veracity of religious belief. Findings in CSR, and its counterpart Evolutionary Psychology, aim to explain the origin of religious belief. Some critics of religion, however, brandish the findings of CSR in support of their agenda. Their arguments attempt to either argue against the truth of religion or the justification for religious belief. I will argue that neither of these two kinds (...) of arguments accomplishes its goal. Using CSR to falsify religious belief commits the genetic fallacy. The evolutionary debunking argument for undermining justification for religious belief is a more sophisticated approach, but it fails on account of making too many unjustified assumptions. I outline three brief responses to the challenge of unjustified religious belief. (shrink)

Scientists and philosophers routinely talk about phenomena, and the ways in which they relate to explanation, theory and practice in science. However, there are very few definitions of the term, which is often used synonymously with "data'', "model'' and in older literature, "hypothesis''. In this paper I will attempt to clarify how phenomena are recognized, categorized and the role they play in scientific epistemology. I conclude that phenomena are not necessarily theory-based commitments, but that they are what explanations are called (...) to account for, which are not presently explained. (shrink)