This article aims to provide a structural analysis of the problems related to the easy knowledge problem. The easy knowledge problem is well known. If we accept that we can have basic knowledge via a source without having any prior knowledge about the reliability or accuracy of this source, then we can acquire knowledge about the reliability or accuracy of this source too easily via information delivered by the source. Rejecting any (...) kind of basic knowledge, however, leads into an infinite regress and, plausibly, to skepticism. The article argues that the third alternative, accepting basic knowledge but rejecting easy knowledge, entails closure failure. This is obviously the case for deductive bootstrapping, but, notably, the problem also arises for inductive bootstrapping. Hence, the set of problems related to the easy knowledge problem has the structure of a trilemma. We are forced to accept easy knowledge, closure failure, or skepticism. (shrink)

One common attitude toward abstract objects is a kind of platonism: a view on which those objects are mind-independent and causally inert. But there's an epistemological problem here: given any naturalistically respectable understanding of how our minds work, we can't be in any sort of contact with mind-independent, causally inert objects. So platonists, in order to avoid skepticism, tend to endorse epistemological theories on which knowledge is easy, in the sense that it requires no such contact—appeals to (...) Boghossian’s notion of epistemic analyticity are particularly common here, as are appeals to some broadly pragmatic account of the good standing of basic beliefs. I argue, though, that these appeals are hopeless: an argument adapted from the Benacerraf–Field challenge shows that, even if some such theory can deliver the verdict that our beliefs about abstract objects have some prima facie good standing, this good standing will inevitably be defeated. (shrink)

Background: Dengue Disease is a mosquito-borne tropical disease caused by the dengue virus, symptoms typically begin three to fourteen days after infection. This may include a high fever, headache, vomiting, muscle and joint pains, and a characteristic skin rash. Dengue serology is applied in different settings, such as for surveillance, in health care facilities in endemic areas and in travel clinics in non-endemic areas. The applicability and quality of serological tests in dengue endemic regions has to be judged against a (...) background of potential cross reactivity with other flavi-viruses, difficulties in distinguishing primary from secondary infections and technological problems related to the fact that most dengue endemic regions are relatively poor of resources .Objectives: to help doctors and patients in diagnosing Dengue Disease and give them the information of how to prevent Dengue Disease and to be able to understand the signs and symptoms of Dengue Disease. Methods: We collected all relevant material for Dengue Disease. Then we designed and implemented a knowledge based system for diagnosing Dengue Disease using SL5 Object Language. Results: The knowledge based system was evaluated by a group of Patients and specialized doctors and they found it very friendly and easy to use. (shrink)

The central question of this article is how to combine counterfactual theories of knowledge with the notion of actuality. It is argued that the straightforward combination of these two elements leads to problems, viz. the problem of easy knowledge and the problem of missing knowledge. In other words, there is overgeneration of knowledge and there is undergeneration of knowledge. The combination of these problems cannot be solved by appealing to methods by which (...) beliefs are formed. An alternative solution is put forward. The key is to rethink the closeness relation that is at the heart of counterfactual theories of knowledge. (shrink)

We describe and try to motivate our project to build systems using both a knowledge based and a neural network approach. These two approaches are used at different stages in the solution of a problem, instead of using knowledge bases exclusively on some problems, and neural nets exclusively on others. The knowledge base (KB) is defined first in a declarative, symbolic language that is easy to use. It is then compiled into an efficient neural network (...) (NN) representation, run, and the results from run time and (eventually) from learning are decompiled to a symbolic description of the knowledge contained in the network. After inspecting this recovered knowledge, a designer would be able to modify the KB and go through the whole cycle of compiling, running, and decompiling again. The central question with which this project is concerned is, therefore, How do we go from a KB to an NN, and back again? We are investigating this question by building tools consisting of a repertoire of language/translation/network types, and trying them on problems in a variety of domains. (shrink)

The problem of explaining how we acquire knowledge via testimony gives rise to a dilemma, according to which any theory must make testimonial knowledge either too hard or too easy, and therefore no adequate account of testimonial knowledge is possible. In recent work, John Greco offers a solution to the dilemma on behalf of anti-reductionism that appeals to Edward Craig’s functionalist epistemology. It is argued that Greco’s solution is flawed, in that his functionalist account provides (...) wrong verdicts of ordinary cases of testimonial knowledge. In contrast, it is shown that both anti-reductionism and reductionism have the resources to solve the dilemma and provide the right verdicts in ordinary cases of testimonial knowledge without appealing to Greco’s functionalism. (shrink)

Although there has been little written to date that speaks directly to problems of religious luck, described in other terms these problems have a long history. Contemporary contributors to the literature have referred to “soteriological luck” (Anderson 2011) “salvific luck” (Davidson 1999) and “religious luck” (Zagzebski 1994). Using “religious” as the unifying term, Part I of this monograph begins with the need a more comprehensive taxonomy. Serious philosophic interest in moral and epistemic luck took hold only after comprehensive taxonomies for (...) those kinds of luck were introduced, but this has not yet been done for religious luck. Even if incomplete, the more comprehensive taxonomy, as introduced in Chapter One enables better diagnostic questions to be raised for researchers. Emerging questions about potentially ‘luck leaning’ attributions of good/bad religious luck, and of the possibility and desirability of “luck free theologies,” are questions which I hope to motivate as of central interest to researchers in philosophy of religion, both secular and religious. The taxonomy highlights why we should take two concerns — with the concept of religious luck and with asymmetric or sharply differential ascriptions of religious value — to be inextricably connected. The connection between attributing good/bad luck and violating inductive norms is easy to see upon reflection. One related distinction common in recent work on epistemic luck is that between benign evidential luck (‘benign’ because consistent with justified belief and knowledge), and malign (positive epistemic status undercutting) veritic luck. How, philosophically, this distinction should be understood is an especially acute problem when it comes to testimonial trust, and to intellectually virtuous or vicious ways of assessing testimonial claims, and sources of claims. So the chapter concludes with development of the case of Tess, as an example of testimonial environmental veritic luck. The Tess case is constructed to be formally analogous to the environmental veritic luck operating in fake barn cases (where visual perception rather than reception of testimony is the source of the agent’s belief). There does seem to be an intrinsic connection between epistemic assessment of the agent’s beliefs and the inductive context in which their own and their religious community’s inquiry takes place. This will allow for some potentially powerful thought experiments in successive chapters, about luck, risk, and questions of epistemic in/justice as they pertain to religious faith ventures. (shrink)

Many current popular views in epistemology require a belief to be the result of a reliable process (aka ‘method of belief formation’ or ‘cognitive capacity’) in order to count as knowledge. This means that the generality problem rears its head, i.e. the kind of process in question has to be spelt out, and this looks difficult to do without being either over or under-general. In response to this problem, I propose that we should adopt a more fine-grained (...) account of the epistemic basing relation, at which point the generality problem becomes easy to solve. (shrink)

This paper has three aims. First, I’ll argue that there’s no good reason to accept any kind of ‘easy knowledge’ objection to externalist foundationalism. It might be a little surprising that we can come to know that our perception is accurate by using our perception, but any attempt to argue this is impossible seems to rest on either false premises or fallacious reasoning. Second, there is something defective about using our perception to test whether our perception is working. (...) What this reveals is that there are things we aim for in testing other than knowing that the device being tested is working. I’ll suggest that testing aims for sensitive knowledge that the device is working. Testing a device, such as our perceptual system, by using its own outputs may deliver knowledge, but it can’t deliver sensitive knowledge. So it’s a bad way to test the system. The big conclusion here is that sensitivity is an important epistemic virtue, although it is not necessary for knowledge. Third, I’ll argue that the idea that sensitivity is an epistemic virtue can provide a solution to a tricky puzzle about inductive evidence. This provides another reason for thinking that the conclusion of section two is correct: not all epistemic virtues are to do with knowledge. (shrink)

Keith DeRose’s solution to the skeptical problem is based on his indirect sensitivity account. Sensitivity is not a necessary condition for any kind of knowledge, as direct sensitivity accounts claim, but the insensitivity of our beliefs that the skeptical hypotheses are false explains why we tend to judge that we do not know them. The orthodox objection line against any kind of sensitivity account of knowledge is to present instances of insensitive beliefs that we still judge to (...) constitute knowledge. This objection line offers counter-examples against the claim of direct sensitivity accounts that sensitivity is necessary for any kind of knowledge. These examples raise an easy problem for indirect sensitivity accounts that claim that there is only a tendency to judge that insensitive beliefs do not constitute knowledge, which still applies to our beliefs that the skeptical hypotheses are false. However, a careful analysis reveals that some of our beliefs that the skeptical hypotheses are false are sensitive; nevertheless, we still judge that we do not know them. Therefore, the fact that some of our beliefs that the skeptical hypotheses are false are insensitive cannot explain why we tend to judge that we do not know them. Hence, indirect sensitivity accounts cannot fulfill their purpose of explaining our intuitions about skepticism. This is the hard problem for indirect sensitivity accounts. (shrink)

We have recently proposed a diagnosis of what goes wrong in cases of ‘easy-knowledge.’ Erik Wielenberg argues that there are cases of easy knowledge thatour proposal cannot handle. In this note we reply to Wielenberg, arguing that our proposal does indeed handle his cases.

Juan Comesaña and Carolina Sartorio have recently proposed a diagnosis of what goes wrong in apparently illegitimate cases of ‘bootstrapping’ one’s way toexcessively easy knowledge. They argue that in such cases the bootstrapper bases at least one of her beliefs on evidence that does not evidentially support the proposition believed. I explicate the principle that underlies Comesaña and Sartorio’s diagnosis of such cases and show that their account of what goes wrong in such cases is mistaken.

According to the bootstrapping problem, any view that allows for basic knowledge (knowledge obtained from a reliable source prior to one’s knowing that that source is reliable) is forced to accept that one can utilize a track-record argument to acquire justification for believing that one’s belief source is reliable; yet, we tend to think that acquiring justification in this way is too easy. In this paper I argue, first, that those who respond to the bootstrapping (...) class='Hi'>problem by denying basic knowledge succumb to over-intellectualizing epistemology, and secondly, reliabilist views avoid over-intellectualization only at the expense of sanctioning bootstrapping as a benign procedure. Both of these outcomes are difficult to bear. To ward off each of these unsavory outcomes, I propose an alternative solution that draws on a distinction between two separate epistemic concepts: entitlement and justification. (shrink)

Kant holds that in order to have knowledge of an object, a subject must be able to “prove” that the object is really possible—i.e., prove that there is neither logical inconsistency nor “real repugnance” between its properties. This is (usually) easy to do with respect to empirical objects, but (usually) impossible to do with respect to particular things-in-themselves. In the first section of the paper I argue that an important predecessor of Kant’s account of our ignorance of real (...) possibility can be found in Locke’s Essay Concerning Human Understanding. In the middle sections I discuss the way in which our inability to prove the real possibility of things-in-themselves motivates Kant’s famous prohibition on certain kinds of knowledge-claims about them. In the final section I examine Hegel’s attempts to dissolve this problem of real repugnance and thereby remove an inherited obstacle to speculative knowledge of the supersensible. -/- . (shrink)

I see four symbol grounding problems: 1) How can a purely computational mind acquire meaningful symbols? 2) How can we get a computational robot to show the right linguistic behavior? These two are misleading. I suggest an 'easy' and a 'hard' problem: 3) How can we explain and re-produce the behavioral ability and function of meaning in artificial computational agents?4) How does physics give rise to meaning?

I will compare Lehrer’s anti-skeptical strategy from a coherentist point of view with the anti-skeptical strategy of the Mooreans. I will argue that there are strong similarities between them: neither can present a persuasive argument to the skeptic and both face the problem of easy knowledge in one way or another. However, both can offer a complete and self-explanatory explanation of knowledge although Mooreanism can offer the more natural one. Hence, one has good reasons to prefer (...) Mooreanism to Lehrer’s anti-skeptical approach, if one does not prefer coherentism to foundationalism for other reasons. (shrink)

According to the Public Justification Principle, legitimate laws must be justifiable to all reasonable citizens. Proponents of this principle assume that its satisfaction requires speakers to offer justifications that are representable as arguments that feature premises which reasonable listeners would accept. I develop the concept of dark knowledge to show that this assumption is false. Laws are often justified on the basis of premises that many reasonable listeners know, even though they would reject these premises on the basis of (...) the further considerations that speakers implicitly rely on for their support. Accommodating the fact of dark knowledge requires us to consider the civic virtue of speakers to be more important for public justification than the acceptability of their arguments to reasonable citizens. I sketch an alternative conception of public justification that incorporates these results and argue that it provides a rationale for ignoring the otherwise sound contributions of some participants in political deliberation. (shrink)

The present paper aims to revisit the virtues and disadvantages of epistemic conservatism, which claims that it is rational to adhere to a belief until there is evidence to the contrary. Two main theses are put forward: first, while conservatism presents several epistemological flaws, from a contextualist point of view it is not only desirable but also is essential to knowledge accumulation in everyday life; second, conservatism provides a solution to sceptical challenges and to the problem of (...) class='Hi'>easy knowledge. (shrink)

In _The Conscious Mind: In Search of a Fundamental Theory_, David Chalmers poses an interesting and powerful challenge to materialism or physicalism. Further, he goes a long way towards providing a proof by example that the rejection of materialism need not commit one to scientifically suspicious “ghost in the machine” doctrines, but can be wedded to a generally naturalistic perspective. As an (as yet) unpersuaded physicalist and functionalist, his case against physicalism seems an appropriate target for criticism. However, it would (...) be beyond the scope of the present paper—or anything of similar length—to attempt a full-scale reply. A full-scale reply could be executed in brief compass only if Chalmers were guilty of (and rested his case entirely upon) some relatively simple mistake. But he does not. If he is mistaken, the mistakes are more subtle and difficult to bring to light. Instead, I shall outline the essentials of his case against materialism, attempt to point to one problem that appears to infect his views and argue that, if his position is to be acceptable, he needs to deal with it more adequately than he has so far. (shrink)

We explore new connections between the epistemologies of mental rehearsal and suppositional reasoning to offer a novel perspective on skilled behavior and its relationship to practical knowledge. We argue that practical knowledge is "easy" in the sense that, by manifesting one's skills, one has a priori propositional justification for certain beliefs about what one is doing as one does it. This proposal has wider consequences for debates about intentional action and knowledge: first, because agents sometimes act (...) intentionally in epistemically hazardous environments, these justified beliefs do not always rise to the level of (practical) knowledge. Second, practical knowledge is more intimately related to basic knowledge than has been appreciated. Third, an attractive "middle way" opens between the Anscombian tradition of defending a necessary connection between intentional action and practical knowledge and the more recent tradition of explaining away substantive epistemic conditions on intentional action. (shrink)

The main argument given for relevant alternatives theories of knowledge has been that they answer scepticism about the external world. I will argue that relevant alternatives also solve two other problems that have been much discussed in recent years, a) the bootstrapping problem and b) the apparent conflict between semantic externalism and armchair self-knowledge. Furthermore, I will argue that scepticism and Mooreanism can be embedded within the relevant alternatives framework.

Thomasson’s easy ontology approach (2015) aims at deflating existence questions through a revival of Carnap’s (1950) distinction between internal and external questions. Importantly, her account depends on an analysis of the ordinary meaning of ‘exist(s)’ as a second-order predicate. I do two things in this paper. First, I show that Thomasson’s analysis fails to do justice to the complexity of the English predicate ‘exist(s)’. Against Thomasson, I argue that there are cases in which ‘exist(s)’ functions as a first-order predicate. (...) Because these cases were first noted by P.F. Strawson (1967), I will call them ‘Strawson-cases’. Secondly, I argue that these counterexamples give some support to (i) more substantive theories about existence as well as (ii) accounts that treat ‘exist(s)’ as varying in meaning. (shrink)

The discipline of knowledge translation (KT) emerged as a way of systematically understanding and addressing the challenges of applying health and medical research in practice. In light of ongoing and emerging critique of KT from the medical humanities and social sciences disciplines, KT researchers have become increasingly aware of the complexity of the translational process, particularly the significance of culture, tradition and values in how scientific evidence is understood and received, and thus increasingly receptive to pluralistic notions of (...) class='Hi'>knowledge. Hence, there is now an emerging view of KT as a highly complex, dynamic, and integrated sociological phenomenon, which neither assumes nor creates knowledge hierarchies and neither prescribes nor privileges scientific evidence. Such a view, however, does not guarantee that scientific evidence will be applied in practice and thus poses a significant dilemma for KT regarding its status as a scientific and practice-oriented discipline, particularly within the current sociopolitical climate. Therefore, in response to the ongoing and emerging critique of KT, we argue that KT must provide scope for relevant scientific evidence to occupy an appropriate position of epistemic primacy in public discourse. Such a view is not intended to uphold the privileged status of science nor affirm the “scientific logos” per se. It is proffered as a counterbalance to powerful social, cultural, political and market forces that are able to challenge scientific evidence and promote disinformation to the detriment of democratic outcomes and the public good. (shrink)

If updating with E has the same result across all epistemically possible worlds, then the agent has no uncertainty as to the behavior of the update, and we may call it a transparent update. If an agent is uncertain about the behavior of an update, we may call it opaque. In order to model the uncertainty an agent has about the result of an update, the same update must behave differently across different possible worlds. In this paper, I study opaque (...) updates using a simple system of dynamic epistemic logic suitably modified for that purpose. The paper highlights the connection between opaque updates and the dynamic-epistemic principles Perfect-Recall and No-Miracles. I argue that opaque updates are central to contemporary discussions in epistemology, in particular to externalist theories of knowledge and to the related problem of epistemic bootstrapping, or easy knowledge. Opaque updates allow us to explicitly investigate a dynamic form of uncertainty, using simple and precise logical tools. (shrink)

The Gettier problem has stymied epistemologists. But, whether or not this problem is resolvable, we still must face an important question: Why does the Gettier problem arise in the first place? So far, philosophers have seen it as either a problem peculiar to the concept of knowledge, or else an instance of a general problem about conceptual analysis. But I would like to steer a middle course. I argue that the Gettier problem arises (...) because knowledge is a thick concept, and a Gettier-like problem is just what we should expect from attempts at analyzing a thick concept. Section 2 is devoted to establishing the controversial claim that knowledge is thick, and, in Sect. 3, I show that there is a general problem for analyzing thick concepts of which the Gettier problem is a special instance. I do not take a stand on whether the Gettier problem, or its general counterpart, is resolvable. My primary aim is to bring these problems into better focus. (shrink)

Real-world agents do not know all consequences of what they know. But we are reluctant to say that a rational agent can fail to know some trivial consequence of what she knows. Since every consequence of what she knows can be reached via chains of trivial cot be dismissed easily, as some have attempted to do. Rather, a solution must give adequate weight to the normative requirements on rational agents’ epistemic states, without treating those agents as mathematically ideal reasoners. I’ll (...) argue that agents can fail to know trivial consequences of what they know, but never determinately. Such cases are epistemic oversights on behalf of the agent in question, and the facts about epistemic oversights are always indeterminate facts. As a result, we are never in a position to assert that such-and-such constitutes an epistemic oversight for agent i (for we may rationally assert only determinate truths). I then develop formal epistemic models according to which epistemic accessibility relations are vague. Given these models, we can show that epistemic oversights always concern indeterminate cases of knowledge. (shrink)

Someone who knew everything about the world’s physical nature could, apparently, suffer from ignorance about various aspects of conscious experience. Someone who knew everything about the world’s physical and mental nature could, apparently, suffer from moral ignorance. Does it follow that there are ways the world is, over and above the way it is physically or psychophysically? This paper defends a negative answer, based on a distinction between knowing the fact that p and knowing that p. This distinction is made (...) intelligible by reference to criterial connections between the possession of moral or phenomenal knowledge, and the satisfaction of cognitively neutral conditions of desire and experiential history. The existence of such connections in the moral case makes for an efficient dissolution of the so-called moral problem. (shrink)

Traditionally it has been thought that the moral valence of a proposition is, strictly speaking, irrelevant to whether someone knows that the proposition is true, and thus irrelevant to the truth-value of a knowledge ascription. On this view, it’s no easier to know, for example, that a bad thing will happen than that a good thing will happen (other things being equal). But a series of very surprising recent experiments suggest that this is actually not how we view (...) class='Hi'>knowledge. On the contrary, people are much more willing to ascribe knowledge of a bad outcome. This is known as the epistemic side-effect effect (ESEE), and is a specific instance of a widely documented phenomenon, the side-effect effect (a.k.a. “the Knobe effect”), which is the most famous finding in experimental philosophy. In this paper, I report a new series of five experiments on ESEE, and in the process accomplish three things. First, I confirm earlier findings on the effect. Second, I show that the effect is virtually unlimited. Third, I introduce a new technique for detecting the effect, which potentially enhances its theoretical significance. In particular, my findings make it more likely that the effect genuinely reflects the way we think about and ascribe knowledge, rather than being the result of a performance error. (shrink)

I argue that knowledge is a particular kind of concept known as a thick concept. Examples of thick concepts include courage, generosity, loyalty, brutality, and so forth. These concepts are commonly said to combine both evaluation and description, and one of the main goals of this dissertation is to provide a new account of how a thick concept combines these elements. It is argued that thick concepts are semantically evaluative, and that they combine evaluation and description in a way (...) similar to that of concepts like good qua dancer and bad qua violinist. In the final chapter, this basic idea is applied to the concept of knowledge. There, the concept of knowledge is analyzed in terms of good qua belief. The upshot is that two central epistemological problems—the Gettier Problem and the Value Problem—can be resolved. (shrink)

The possibility of knowledge attributions across contexts (where attributor and subject find themselves in different epistemic contexts) can create serious problems for certain views of knowledge. Amongst such views is subject—sensitive invariantism—the view that knowledge is determined not only by epistemic factors (belief, truth, evidence, etc.) but also by non—epistemic factors (practical interests, etc.). I argue that subject—sensitive invariantism either runs into a contradiction or has to make very implausible assumptions. The problem has been very much (...) neglected but is so serious that one should look for alternative accounts of knowledge. (shrink)

List of Illustrations Introduction 1 The Didactic and the Elegant: Some Thoughts on Scientific and Technological Illustrations in the Middle Ages and Renaissance 3 2 Temples of the Body and Temples of the Cosmos: Vision and Visualization in the Vesalian and Copernican Revolutions 40 3 Descartes’s Scientific Illustrations and ’la grande mecanique de la nature’ 86 4 Illustrating Chemistry 135 5 Representations of the Natural System in the Nineteenth Century 164 6 Visual Representation in Archaeology: Depicting the Missing-Link in Human (...) Origins 184 7 Towards an Epistemology of Scientific Illustration 215 8 Illustration and Inference 250 9 Visual Models and Scientific Judgment 269 10 Are Pictures Really Necessary? The Case of Sewall Wright’s ’Adaptive Landscapes’ 303 Bibliography 339 Notes on Contributors 373 Index 377. (shrink)

The article concerns the meta-epistemological problem of the justification of a theory of knowledge and provides a reconstruction of the history of its formulations. In the first section, I analyse the connections between Sextus Empiricus' diallelus, Montaigne's rouet and Chisholm's problem of criterion; in the second section I focus on the link between thediallelus and the Cartesian circle; in the third section I reconstruct the origin of Fries' trilemma; finally, in the last section I draw some general (...) conclusions about the issue qua a general problem for a theory of knowledge. (shrink)

The aim of the present paper is to show how Plato suggested demarcating between knowledge and other kinds of human intellectual activities. The article proposes to distinguish between two ways of such a demarcation. The first, called `the external demarcation', takes place when one differentiates between knowledge and non-knowledge, the rational and non-rational or the reasonable and non-reasonable. The second, called `internal', marks the difference within knowledge itself and could be illustrated by the difference between the (...) so called hard and soft sciences. The analyses lead tothe following conclusions. Plato refers to the whole of human intellectual activity as doxa, which is divided into two spheres. The first of them is knowledge proper whose criterion is phronesis. Three other kinds of doxa are derived from knowledge proper: 1) the traditional peri phuseos investigation (called also sophia); 2) popular doxai concerning virtues; 3) wisdom of the antilogikoi. The difference represents the external demarcation. There may be, however, a difference in the scope of knowledge proper (the internal demarcation). If the peri phuseos investigators were able to explain the field of values, the result of their investigation could be acknowledged as knowledge, although it would still be characterized as inferior due to its being based on senses. What is interesting about knowledge proper is that it is not firm and reliable but only hypothetical. It does not determine the skeptical reading of the Phaedo but it indicates that Plato has just begun his own philosophical project (which is still in progress) and the knowledge presented in the dialogue is his first positive suggestion how to solve the problem of demarcation. (shrink)

This volume comprises original articles by leading authors – from philosophy as well as sociology – in the debate around relativism in the sociology of (scientific) knowledge. Its aim has been to bring together several threads from the relevant disciplines and to cover the discussion from historical and systematic points of view. Among the contributors are Maria Baghramian, Barry Barnes, Martin Endreß, Hubert Knoblauch, Richard Schantz and Harvey Siegel.

Rachael Briggs and Daniel Nolan attempt to improve on Nozick’s tracking theory of knowledge by providing a modified, dispositional tracking theory. The dispositional theory, however, faces more problems than those previously noted by John Turri. First, it is not simply that satisfaction of the theory’s conditions is unnecessary for knowledge – it is insufficient as well. Second, in one important respect, the dispositional theory is a step backwards relative to the original tracking theory: the original but not the (...) dispositional theory can avoid Gettier-style counterexamples. Future attempts to improve the tracking theory would be wise to bear these problems in mind. (shrink)

The discipline of knowledge translation (KT) emerged as a way of systematically understanding and addressing the challenges of applying health and medical research in practice. In light of ongoing and emerging critique of KT from the medical humanities and social sciences disciplines, KT researchers have become increasingly aware of the complexity of the translational process, particularly the significance of culture, tradition and values in how scientific evidence is understood and received, and thus increasingly receptive to pluralistic notions of (...) class='Hi'>knowledge. Hence, there is now an emerging view of KT as a highly complex, dynamic, and integrated sociological phenomenon, which neither assumes nor creates knowledge hierarchies and neither prescribes nor privileges scientific evidence. Such a view, however, does not guarantee that scientific evidence will be applied in practice and thus poses a significant dilemma for KT regarding its status as a scientific and practice-oriented discipline, particularly within the current sociopolitical climate. Therefore, in response to the ongoing and emerging critique of KT, we argue that KT must provide scope for relevant scientific evidence to occupy an appropriate position of epistemic primacy in public discourse. Such a view is not intended to uphold the privileged status of science nor affirm the “scientific logos” per se. It is proffered as a counterbalance to powerful social, cultural, political and market forces that are able to challenge scientific evidence and promote disinformation to the detriment of democratic outcomes and the public good. (shrink)

The article analyses the meta- epistemological problem of the justification of a theory of knowledge. The first section is dedicated to the morphological reconstruction of the problem, the second presents a diagnosis of the problem in terms of a metatheoretical and logically non- contradictory "petitio principii" and the third delineates the limits within which strategies for the treatment of the problem could be elaborated.

Timothy Williamson has argued that, unless the speech act of assertion were supposed to be governed by his so-called Knowledge Rule, one could not explain why sentences of the form "A and I do not know that A" are unassertable. This paper advances three objections against that argument, of which the first two aim to show that, even assuming that Williamson's explanandum has been properly circumscribed, his explanation would not be correct, and the third aims to show that his (...) explanandum has not been properly circumscribed. (shrink)

The threshold problem is the task of adequately answering the question: “Where does the threshold lie between knowledge and lack thereof?” I start this paper by articulating two conditions for solving it. The first is that the threshold be neither too high nor too low; the second is that the threshold accommodate the significance of knowledge. In addition to explaining these conditions, I also argue that it is plausible that they can be met. Next, I argue that (...) many popular accounts of knowledge cannot meet them. In particular, I lay out a number of problems that standard accounts of knowledge face in trying to meet these conditions. Finally, near the end of this paper, I argue that there is one sort of account that seems to evade these problems. This sort of account, which is called a cluster account of knowledge, says that knowledge is to be accounted for in terms of truth, belief and a cluster of epistemic properties and also that knowledge doesn’t require having all members of the cluster, but merely some subset. (shrink)

In this chapter I investigate epistemological consequences of the fact that seeming-based justification is elusive, in the sense that the subject can lose this justification simply by reflecting on her seemings. I argue that since seeming-based justification is elusive, the antisceptical bite of phenomenal conservatism is importantly limited. I also contend that since seeming-based justification has this feature, phenomenal conservatism isn’t actually afflicted by easy justification problems.

According to the thesis of divine ‘middle knowledge’, first propounded by the Jesuit theologian Luis de Molina in the sixteenth century, subjunctive conditionals stating how free agents would freely respond under counter-factual conditions may be straightforwardly true, and thus serve as the objects of divine knowledge. This thesis has provoked considerable controversy, and the recent revival of interest in middle knowledge, initiated by Anthony Kenny, Robert Adams and Alvin Plantinga in the 1970s, has led to two ongoing (...) debates. One is a theoretical debate over the very intelligibility of middle knowledge;1 the other is a practical debate over its philosophical and theological utility.2. (shrink)

In what follows I propose to bring out certain methodological properties of projects of modelling the tacit realm that bear on the kinds of modelling done in connection with scientific cognition by computer as well as by ethnomethodological sociologists, both of whom must make some claims about the tacit in the course of their efforts to model cognition. The same issues, I will suggest, bear on the project of a cognitive psychology of science as well.

Reliabilism is an intuitive and attractive view about epistemic justification. However, it has many well-known problems. I offer a novel condition on reliabilist theories of justification. This method coherence condition requires that a method be appropriately tested by appeal to a subject’s other belief-forming methods. Adding this condition to reliabilism provides a solution to epistemic circularity worries, including the bootstrapping problem.

This book addresses the problem of self-knowledge in Kant’s philosophy. As Kant writes in his major works of the critical period, it is due to the simple and empty representation ‘I think’ that the subject’s capacity for self-consciousness enables the subject to represent its own mental dimension. This book articulates Kant’s theory of self-knowledge on the basis of the following three philosophical problems: 1) a semantic problem regarding the type of reference of the representation ‘I’; 2) (...) an epistemic problem regarding the type of knowledge relative to the thinking subject produced by the representation ‘I think’; and 3) a strictly metaphysical problem regarding the features assigned to the thinking subject’s nature. The author connects the relevant scholarly literature on Kant with contemporary debates on the huge philosophical field of self-knowledge. He develops a formal reading according to which the unity of self-consciousness does not presuppose the identity of a real subject, but a formal identity based on the representation ‘I think’. (shrink)

In the process of scientific discovery, knowledge ampliation is pursued by means of non-deductive inferences. When ampliative reasoning is performed, probabilities cannot be assigned objectively. One of the reasons is that we face the problem of the unconceived alternatives: we are unable to explore the space of all the possible alternatives to a given hypothesis, because we do not know how this space is shaped. So, if we want to adequately account for the process of knowledge ampliation, (...) we need to develop an account of the process of scientific discovery which is not exclusively based on probability calculus. We argue that the analytic view of the method of science advocated by Cellucci is interestingly suited to this goal, since it rests on the concept of plausibility. In this perspective, in order to account for how probabilities are in fact assigned in uncertain contexts and knowledge ampliation is really pursued, we have to take into account plausibility-based considerations. (shrink)

Alleged self-evidence aside, conceivability arguments are one of the main reasons in favor of the claim that there is a Hard Problem. These arguments depend on the appealing Kripkean intuition that there is no difference between appearances and reality in the case of consciousness. I will argue that this intuition rests on overlooking a distinction between cognitive access and consciousness, which has received recently important empirical support. I will show that there are good reasons to believe that the intuition (...) is misguided—at least on the reading that the conceivability arguments require—and hence that the arguments are unsupported. This, in turn, alleviates the Hard Problem but leaves us with what I think is a not easy problem. (shrink)

In this article I propose a new problem for the classical analysis of knowledge (as justified true belief) and all analyses belonging to its legacy. The gist of my argument is that truth as a condition for a belief to be knowledge is problematic insofar there is no definition of truth. From this, and other remarks relating to the possibility of defining truth (or lack thereof) and about what truth theories fit our thoughts about knowledge, I (...) conclude that as long as truth is unquestioningly taken as a condition of knowing, knowledge can never be defined in a way that could satisfy our intuitions about it. (shrink)

In this paper we propose a computational framework aimed at extending the problem solving capabilities of cognitive artificial agents through the introduction of a novel, goal-directed, dynamic knowledge generation mechanism obtained via a non monotonic reasoning procedure. In particular, the proposed framework relies on the assumption that certain classes of problems cannot be solved by simply learning or injecting new external knowledge in the declarative memory of a cognitive artificial agent but, on the other hand, require a (...) mechanism for the automatic and creative re-framing, or re-formulation, of the available knowledge. We show how such mechanism can be obtained trough a framework of dynamic knowledge generation that is able to tackle the problem of commonsense concept combination. In addition, we show how such a framework can be employed in the field of cognitive architectures in order to overcome situations like the impasse in SOAR by extending the possible options of its subgoaling procedures. (shrink)

The Problem of Nearly Convergent Knowledge is an updated and stronger version of the Problem of Convergent Knowledge, which presents a problem for the traditional, binary view of knowledge in which knowledge is a two-place relation between a subject and the known proposition. The problem supports Knowledge Contrastivism, the view that knowledge is a three-place relation between a subject, the known proposition, and a proposition that disjoins the alternatives relevant to (...) what the subject knows. For example, if knowledge is contrastive, I do not simply know that the bird in front of me is a goldfinch; instead, I know that the bird in front of me is a goldfinch rather than a raven or eagle or falcon. There is, however, a binary view of knowledge that overcomes even the Problem of Nearly Convergent Knowledge. I will give this binary view, show that it is motivated by the same considerations that motivate Knowledge Contrastivism, and argue that it avoids problematic consequences for our epistemic lives that Knowledge Contrastivism cannot. (shrink)