Philosophical debates on how to account for the progress of science have traditionally divided along the realism-anti-realism axis. Relatively recent developments in epistemology, however, have opened up a new knowledge-understanding axis to the debate. This chapter presents a novel understanding-based account of scientific progress that takes its motivation from problem-solving practices in science. Problem-solving is characterized as a means of measuring degree of understanding, which is argued to be the principal epistemic (or cognitive) aim of science, over and against knowledge. (...) This account is then defended against knowledge reductionism by showing how each plays an important and distinctive role in science. (shrink)

Many contributors of the debate about knowledge by testimony concentrate on the problem of justification. In my paper I will stress a different point – the concept of testimony itself. As a starting point I will use the definitional proposal of Jennifer Lackey. She holds that the concept of testimony should be regarded as entailing two aspects – one corresponding to the speaker, the other one to the hearer. I will adopt the assumption that we need to deal with both (...) aspects. Nevertheless, I will show that her concept – which suggests regarding testimony as an act of communication conveying information – is too broad and, therefore, I will end up with a different twofold definition. (shrink)

This essay addresses the collapse/incoherence problem for normative frameworks that contain both fundamental values and rules for promoting those values. The problem is that in some cases, we would bring about more of the fundamental value by violating the framework’s rules than by following them. In such cases, if the framework requires us to follow the rules anyway, then it appears to be incoherent; but if it allows us to make exceptions to the rules, then the framework “collapses” into one (...) that doesn’t make use of rules in the first place. The chapter begins with an examination of happiness and truth as fundamental values in Mill’s work, which lead into parallel versions of the collapse/incoherence problem in ethics and epistemology. It then sets out the collapse problem for rule-consequentialist approaches in ethics, truth-directed accounts of justification in epistemology, and epistemological approaches to argument cogency. The chapter closes with discussion of two potential solutions to the problem. (shrink)

In this article, I examine the possible thought experimenting qualities of Soren Kierkegaard's novel Fear and Trembling and in which way it can be explanatory. Kierkegaard's preference for pseudonyms, indirect communication, Socratic interrogation, and performativity are identified as features that provide the narrative with its thought experimenting quality. It is also proposed that this literary fiction functions as a Socratic-theological thought experiment due to its influences from both philosophy and theology. In addition, I suggest three functional levels of the fictional (...) narrative that, in different ways, influence its possible explanatory force. As a theoretical background for the investigation, two accounts of literary cognitivism are explored: Noel Carroll's Argument Account and Catherine Elgin's Exemplification Account. In relation to Carroll's proposal, I conclude that Fear and Trembling develops a philosophical argumentation that is dependent on the reader's own existential contribution. In relation to Elgin's thought, the relation between truth and explanatory force is acknowledged. At the end of the article, I argue that it is more accurate to see the explanatory force of Fear and Trembling in relation to its exploratory function. (shrink)

Le principali concezioni del progresso scientifico sono tre: la concezione epistemica, secondo cui il progresso si verifica quando si verifica un incremento della conoscenza; la concezione semantica, secondo cui il progresso si verifica quando vi è un incremento delle verità; la concezione problem-solving, secondo cui il progresso si verifica quando si verifica un incremento del numero dei problemi che si è in grado di risolvere. La concezione epistemica è ritenuta la più compatibile con una prospettiva realista. Di recente, Dellsén ha (...) proposto la concezione “noetica”, secondo cui il progresso si verifica quando vi è un incremento dell’understanding di un fenomeno da parte degli scienziati. Dellsén sostiene che la concezione noetica sia una concezione realista del progresso più adeguata di quella epistemica. Scopo di questo articolo è valutare se la concezione noetica sia più adeguata della concezione epistemica. (shrink)

Paulina Sliwa (2015) argues that knowing why p is necessary and sufficient for understanding why p. She tries to rebut recent attacks against the necessity and sufficiency claims, and explains the gradability of understanding why in terms of knowledge. I argue that her attempts do not succeed, but I indicate more promising ways to defend reductionism about understanding why throughout the discussion.

The paper provides a systematic overview of recent debates in epistemology and philosophy of science on the nature of understanding. We explain why philosophers have turned their attention to understanding and discuss conditions for “explanatory” understanding of why something is the case and for “objectual” understanding of a whole subject matter. The most debated conditions for these types of understanding roughly resemble the three traditional conditions for knowledge: truth, justification and belief. We discuss prominent views about how to construe these (...) conditions for understanding, whether understanding indeed requires conditions of all three types and whether additional conditions are needed. (shrink)

How can a model that stops short of representing the whole truth about the causal production of a phenomenon help us to understand the phenomenon? I answer this question from the perspective of what I call the simple view of understanding, on which to understand a phenomenon is to grasp a correct explanation of the phenomenon. Idealizations, I have argued in previous work, flag factors that are casually relevant but explanatorily irrelevant to the phenomena to be explained. Though useful to (...) the would-be understander, such flagging is only a first step. Are there any further and more advanced ways that idealized models aid understanding? Yes, I propose: the manipulation of idealized models can provide considerable insight into the reasons that some causal factors are difference-makers and others are not, which helps the understander to grasp the nature of explanatory connections and so to better grasp the explanation itself. (shrink)