Knowledge as a Natural Kind

What is common knowledge? According to the dominant iterative model, a group of people commonly knows that p if and only if they each individually know that p, and they furthermore each know that they each know that p, and so on to infinity. According to the integrative model proposed in this paper, a group commonly knows that p when its members are united in a state of mind of the type whose contents must be true. Epistemic integration within a (...) group is enabled by symmetrical signalling processes such as eye contact. In conversational dyads, symmetrical processing operates on pairs of signals produced by the two sides in a familiar format: speakers generate content for joint attention in main channel communication, and addressees evaluate that content in backchannel communication. Processes of reinforcement learning shape our pairwise signalling, driving the accumulation of common knowledge, both in response to extrinsic reward for coordinated action, and in response to the intrinsic reward of curiosity. Where the iterative model caps the epistemic performance of the group at the level of its weakest member, the integrative model of common knowledge shows how groups working together can outperform their strongest member working alone. (shrink)

Because knowledge entails true belief, it is can be hard to explain why a given action is naturally seen as driven by one of these states as opposed to the other. A simpler and more radical characterization of knowledge helps to solve this problem while also shedding some light on what is special about social learning.

Curiosity is evident in humans of all sorts from early infancy, and it has also been said to appear in a wide range of other animals, including monkeys, birds, rats, and octopuses. The classical definition of curiosity as an intrinsic desire for knowledge may seem inapplicable to animal curiosity: one might wonder how and indeed whether a rat could have such a fancy desire. Even if rats must learn many things to survive, one might expect their learning must be driven (...) by simpler incentives, such as hunger. One might also wonder what proximal signals could guide animals towards knowledge itself, or how something as abstract as knowledge could ever be a motivational target for an unreflective animal. Taking a cue from recent work in reinforcement learning, I argue that surprise functions as a reward signal for the curious animal, and then show how this amounts to a desire for knowledge gain, where knowledge is conceived of as a cognitive adaptation to reality. This adaptation results in a mental state whose existence depends essentially on the truth of its contents, a factive mental state. Curious creatures benefit from an interaction between the prediction-error correction processes of basic learning and the active surprise-seeking force of their curiosity. This internally adversarial interaction accelerates knowledge gain in ways that are very helpful for agents with the restrictions of biological creatures, in environments with the complexity of our natural world. (shrink)

”It is often assumed that knowledge claims must be justified. But what kind of justification is required for knowledge ? . . . ” (*) -/- presupposition: the kind of epistemic justification depends on the type of the knowledge claim and its respective knowledge claim tradeoff ’vague vs. precise’. -/- procedere: in two - almost purely logical - case studies I account for this tradeoff and question in each case what (if any) were its general outcome wrt justification -/- first (...) for basic measurement statements of the form ′′ϕ(x) = r ∈ IR ± δ′′ (wrt ”measurement accuracy realism” debate) -/- and secondly predication statements of the form ′′x is ( a case of )P′′ (wrt ”epistemic vagueness” debate). (shrink)

I discuss three understandings of the idea of “Knowledge First Epistemology”, i.e. Timothy Williamson’s suggestion that we should take knowledge as a starting point, rather than trying to analyze it. Some have taken this to be a suggestion about the role of the concept of knowledge, but Williamson also seems to be concerned with intuition-based metaphysics. As an alternative, I develop the idea that knowledge may be a social kind that can be understood through a functional analysis in the tradition (...) of Edward Craig. (shrink)

In Delusions and Beliefs, Kengo Miyazono proposes an extended and convincing argument for the thesis that delusions are malfunctional beliefs. One of the key assumptions for this argument is that belief is a biological notion, and that the function of beliefs is a product of evolution. I challenge the thesis that evolutionary accounts can furnish an epistemologically satisfying account of beliefs because evolutionary success does not necessarily track epistemic success. Consequently, also delusions as beliefs cannot be explained in a satisfactory (...) manner by looking at beliefs’ evolutionary function. How can we then salvage the notion of delusions as epistemologically relevant malfunctioning beliefs? I propose that knowledge-first epistemology gives us a way out. Knowledge-first accounts argue that knowledge is more primitive than belief. That is, knowledge is not a kind of successful beliefs ; instead, beliefs are failed attempts at knowledge. Being a belief derives from the norms of knowledge. Explaining the epistemology of beliefs through the primitive norms of knowledge, we can also explain why delusions are malfunctional beliefs: The cognitive and psychological defects that produce delusions block the beliefs from becoming knowledge. Consequently, delusions are attempts at knowledge that have failed particularly badly. (shrink)

The aim of the present article is to accomplish two things. The first is to show that given some further plausible assumptions, existing challenges to the indispensability of knowledge in causal explanation of action fail. The second is to elaborate an overlooked and distinct argument in favor of the causal efficacy of knowledge. In short, even if knowledge were dispensable in causal explanation of action, it is still indispensable in causal explanation of other mental attitudes and, in particular, some reactive (...) attitudes and factive emotions. Taking into account this sort of causal efficacy in determining which mental states are genuine mental states opens up new perspectives for defending the view that knowledge is the most general factive and genuine mental state. (shrink)

This article is a knowledge technology case study of DNAOS, a distributed platform for Knowledge Resource Entitlement, Modeling, Management, and Sharing (KREMMS). Some historical aspects of its design, development, and release are briefly discussed, after which the DNAOS technology is commented upon from the specific viewpoint of KREMMS. At the core of this platform is the conception of knowledge as a natural phenomenon, which conception is reflected in the ontology of this technology: Fundamental knowledge structures and structuring principles, believed to (...) be “natural,” including qualification, resources, and relationships, are considered theoretically and modeled computationally. Finally, with the help of images, the reader is briefly introduced to some DNAOS capabilities, touching on transaction, application, data, model, and interface. (shrink)

In a series of works Sosa (in: Knowledge in perspective, Cambridge University Press, Cambridge, 1991; A virtue epistemology: apt belief and reflective knowledge, Oxford University Press, Oxford, 2007; Reflective knowledge: apt belief and reflective knowledge, Oxford University Press, Oxford, 2009; ‘How Competence Matters in Epistemology’, Philos Perspect 24(1):465–475, 2010; Knowing full well, Princeton University Press, Princeton, 2011; Judgment and agency, Oxford University Press, Oxford, 2015; Epistemology, Princeton University Press, Princeton, 2017) has defended the view that there are two kinds or (...) ‘grades’ of knowledge, animal and reflective. One of the most persistent critics of Sosa’s attempts to bifurcate knowledge is Kornblith (in: Greco (ed) Ernest sosa and his critics, Wiley, Hoboken, 2004; ‘Sosa in Perspective’, Philos Stud 144(1):127–136, 2009; On reflection, Oxford University Press, Oxford, 2012). Our aim in this paper is to outline and evaluate Kornblith’s criticisms. We will argue that, while they raise a range of difficult (exegetical and substantive) questions about Sosa’s ‘bi-level’ epistemology, Sosa has the resources to adequately respond to all of them. Thus, this paper is a (qualified) defence of Sosa’s bi-level epistemology. (shrink)

This paper examines three reasons to think that Craig's genealogy of the concept of knowledge is incompatible with knowledge-first epistemology and finds that far from being incompatible with it, the genealogy lends succour to it. This reconciliation turns on two ideas. First, the genealogy is not history, but a dynamic model of needs. Secondly, by recognizing the continuity of Craig's genealogy with Williams's genealogy of truthfulness, we can see that while both genealogies start out from specific needs explaining what drives (...) the development of certain concepts rather than others, they then factor in less specific needs which in reality do not come later at all, and which have also left their mark on these concepts. These genealogies thereby reveal widespread functional dynamics driving what I call the de-instrumentalization of concepts, the recognition of which adds to the plausibility of such instrumentalist approaches to concepts. (shrink)

Is knowledge consistent with literally any credence in the relevant proposition, including credence 0? Of course not. But is credence 0 the only credence in p that entails that you don’t know that p? Knowledge entails belief (most epistemologists think), and it’s impossible to believe that p while having credence 0 in p. Is it true that, for every value of ‘x,’ if it’s impossible to know that p while having credence x in p, this is simply because it’s impossible (...) to believe that p while having credence x in p? If so, is it possible to believe that p while having (say) credence 0.4 in p? These questions aren’t standard epistemological fare, at least in part because many epistemologists think their answers are obvious, but they have unanticipated consequences for epistemology. Let ‘improbabilism’ name the thesis that it’s possible to know that p while having a credence in p below 0.5. Improbabilism will strike many epistemologists as absurd, but careful reflection on these questions reveals that, if improbabilism is false, then all of the most plausible theories of knowledge are also false. Or so I argue in this paper. Since improbabilism is widely rejected by epistemologists (at least implicitly), this paper reveals a tension between all of the most plausible theories of knowledge and a widespread assumption in epistemology. (shrink)

Wittgenstein (W) is for me easily the most brilliant thinker on human behavior and this is his last work and crowning achievement. It belongs to his third and final period, yet it is not only his most basic work (since it shows that all behavior is an extension of innate true-only axioms and that our conscious ratiocination is but icing on unconscious machinations), but as Daniele Moyal-Sharrock has recently noted, is a radical new epistemology and the foundation for all description (...) of animal behavior, revealing how the mind works and indeed must work. The "must" is entailed by the fact that all brains share a common ancestry and common genes, and so there is only one basic way they work, that this necessarily has an axiomatic structure, that all higher animals share the same evolved psychology based on inclusive fitness, and in humans this is extended into a personality based on throat muscle contractions (language) that evolved to manipulate others (with variations that can be regarded as trivial). This book, and arguably all of W's work and all useful discussion of behavior is a development of or variation on these ideas. -/- Those wishing a comprehensive up to date framework for human behavior from the modern two systems view may consult my book ‘The Logical Structure of Philosophy, Psychology, Mind and Language in Ludwig Wittgenstein and John Searle’ 2nd ed (2019). Those interested in more of my writings may see ‘Talking Monkeys--Philosophy, Psychology, Science, Religion and Politics on a Doomed Planet--Articles and Reviews 2006-2019 3rd ed (2019), The Logical Structure of Human Behavior (2019), and Suicidal Utopian Delusions in the 21st Century 4th ed (2019) . (shrink)

The aim of the 17 original papers here is to summarize and analyze Wittgenstein's thought. At the time these were being written, the Oxford/Intelex CDROM ($2040 on Amazon but available thru interlibrary loan and steeply discounted on the net) with 20,000 some pages of W's nachlass, as well as the various online versions of the nachlass, were not yet available, and only those fluent in German and willing to find and slog thru the incomplete Cornell microfilm were able to examine (...) it. To this day, much of it remains untranslated from the German typescripts and handwritten manuscripts. I note this at the outset as W's untranslated or unpublished writings often shed crucial light on his thought and few to this day have made substantial use of them. In addition, there are huge problems with translation of his early 20th century Viennese German into modern English. One must be a master of English, German, and Wittgenstein in order to do this and very few are up to it. Several of the current authors note unfortunate translation errors in the only available English editions and I have seen similar comments countless times. -/- As is well known, W's thought changed dramatically between the publication of the Tractatus (TLP) in 1922 and the Philosophical Investigations (1953). The continuity or lack thereof between his early and late work is the subject of a vast literature and is taken up here by several authors. Ishiguro on the picture theory and Mounce on the logical system in TLP are good, but for me the endless discussions of exactly how he was mistaken in his early work is of as little interest as the mistakes in most previous philosophy. Ammereller on Intentionality is a good, if prosaic, summary of (mostly) the early and middle W on belief and interpretation which, like virtually everyone, totally fails to give an adequate overview of W's pioneering work. In giving the general outline of our innate evolutionary psychology (i.e., roughly our personality) and showing how this describes behavior, W represents a major milestone in human thought. There are unmistakeable indications of this even in his early writings (e.g., see p 40, 49-58 here) and it has been documented by Hacker (e.g., see his paper in The New Wittgenstein) and others but without any comprehensive account in book form to date (but see the many recent writings of Daniele Moyal-Sharrock, Coliva etc.). Overall a good book for introducing W to a general philosophical audience but now very dated by the recent work of Hacker, Daniele Moyal-Sharrock, Coliva, Hutto, Read and others. -/- Those wishing a comprehensive up to date framework for human behavior from the modern two systems view may consult my book ‘The Logical Structure of Philosophy, Psychology, Mind and Language in Ludwig Wittgenstein and John Searle’ 2nd ed (2019). Those interested in more of my writings may see ‘Talking Monkeys--Philosophy, Psychology, Science, Religion and Politics on a Doomed Planet--Articles and Reviews 2006-2019 3rd ed (2019), The Logical Structure of Human Behavior (2019), and Suicidal Utopian Delusions in the 21st Century 4th ed (2019) . (shrink)

Materialism, reductionism, behaviorism, functionalism, dynamic systems theory and computationalism are popular views, but they were shown by Wittgenstein and more recently by Searle to be incoherent. The study of behavior encompasses all of human life but behavior is largely automatic and unconscious and even the conscious part, mostly expressed in language (which Wittgenstein equates with the mind), is not perspicuous, so it is critical to have a framework which Searle calls the Logical Structure of Rationality (LSR) and I call the (...) Descriptive Psychology of Higher Order Thought (DPHOT). After summarizing the framework worked out by Wittgenstein and Searle, as extended by myself and by modern reasoning research, I comment on this first book in a trilogy on Human Nature by P.M.S. Hacker, the leading authority on Wittgenstein and one of the best modern philosophers. -/- Those wishing a comprehensive up to date framework for human behavior from the modern two systems view may consult my book ‘The Logical Structure of Philosophy, Psychology, Mind and Language in Ludwig Wittgenstein and John Searle’ 2nd ed (2019). Those interested in more of my writings may see ‘Talking Monkeys--Philosophy, Psychology, Science, Religion and Politics on a Doomed Planet--Articles and Reviews 2006-2019 3rd ed (2019), The Logical Structure of Human Behavior (2019), and Suicidal Utopian Delusions in the 21st Century 4th ed (2019) . (shrink)

There is a New Idea in epistemology. It goes by the name of ‘knowledge first,’ and it is particularly associated with Timothy Williamson’s book Knowledge and Its Limits. In slogan form, to put knowledge first is to treat knowledge as basic or fundamental, and to explain other states—belief, justification, maybe even content itself—in terms of knowledge, instead of vice versa. The idea has proven enormously interesting, and equally controversial. But deep foundational questions about its actual content remain relatively unexplored. We (...) think that a wide variety of views travel under the banner of ‘knowledge first’ (and that the slogan doesn’t help much with differentiating them). Furthermore, we think it is far from straightforward to draw connections between certain of these views; they are more independent than they are often assumed to be. Our project here is exploratory and clarificatory. We mean to tease apart various ‘knowledge first’ claims, and explore what connections they do or do not have with one another. Our taxonomy is offered in §2, and connections are explored in §3. The result, we hope, will be a clearer understanding of just what the knowledge first theses are. We conclude, in §4, with some brief suggestions as to how we think the various theses might be evaluated. (shrink)

Knowledge and skill are intimately connected. In this essay, I discuss the question of their relationship and of which (if any) is prior to which in the order of explanation. I review some of the answers that have been given thus far in the literature, with a particular focus on the many foundational issues in epistemology that intersect with the philosophy of skill.

In the last decades two different and apparently unrelated lines of research have increasingly connected mathematics and evolutionism. Indeed, on the one hand different attempts to formalize darwinism have been made, while, on the other hand, different attempts to naturalize logic and mathematics have been put forward. Those researches may appear either to be completely distinct or at least in some way convergent. They may in fact both be seen as supporting a naturalistic stance. Evolutionism is indeed crucial for a (...) naturalistic perspective, and formalizing it seems to be a way to strengthen its scientificity. The paper shows that, on the contrary, those directions of research may be seen as conflicting, since the conception of knowledge on which they rest may be undermined by the consequences of accepting an evolutionary perspective. (shrink)

This paper discusses and develops an account in the metaphysics of knowledge where knowledge is explained as a metaphysically primitive relation holding between a subject (or mind) and a fact.

Among the key factors that play a crucial role in the acquisition of knowledge, Buddhist philosophers list (i) the testimony of sense experience, (ii) introspective awareness (iii) inferences drawn from these directs modes of acquaintance, and (iv) some version of coherentism, so as guarantee that truth claims remains consistent across a diverse philosophical corpus. This paper argues that when Buddhists employ reason, they do so primarily in order to advance a range of empirical and introspective claims. As a result, reasoning, (...) in particular inductive reasoning on the testimony of perception, is based on a theory of causation. (shrink)

As a specific domain of inquiry, “ Buddhist epistemology” stands primarily for the dialogical-disputational context in which Buddhists advance their empirical claims to knowledge and articulate the principles of reason on the basis of which such claims may be defended. The main questions pursued in this article concern the tension between the notion that knowledge is ultimately a matter of direct experience---which the Buddhist considers as more normative than other, more indirect, modes of knowing---and the largely discursive and argumentative ways (...) in which such experiential claims are advanced. (shrink)

Paper type: Conceptual perspective. Background(s): Physics, biology, epistemology Perspectives: Theory of autopoietic systems, Popperian evolutionary epistemology and the biology of cognition. Context: This paper is a contribution to developing the theories of hierarchically complex living systems and the natures of knowledge in such systems. Problem: Dissonance between the literatures of knowledge management and organization theory and my observations of the living organization led to consideration of foundation questions: What does it mean to be alive? What is knowledge? How are life (...) and knowledge related? Method: The approach is synthetic and multidisciplinary. The concept of autopoiesis (as defined by Maturana) as a definition for life, and knowledge as a product of autopoiesis are developed from first principles regarding the behavior of dynamical systems in time. Results: Autopoiesis and the construction of knowledge are inseparable aspects of physical phenomena scalable to many levels of organization (e.g., cells, multicellular organisms, organizations, social systems, etc.). The result unifies theories of epistemology, physical dynamics, life, biological evolution, knowledge and social systems. Implications: Results highlight the importance to understand autopoiesis as first defined by Maturana and Varela – as a complex physical phenomenon persisting over time. Autopoietic “self-observation” is not paradoxical. As dynamic physical processes, any internal/external activities relating to “observations” are displaced in time. The worlds living systems act on are not those observed. “Circularly closed” systems are actually open spirals along the axis of time. (shrink)

This paper is about knowledge construction in music listening. It argues for an experiential approach to music cognition, stressing the dynamic-vectorial field of meaning rather than the symbolic field. Starting from the conceptual framework of deixis and indexical devices, it elaborates on the concept of pointing as a heuristic guide for sense-making which allows the listener to conceive of perceptual elements in terms of salience, valence and semantical weight. As such, the act of (mental) pointing can be predicative, either in (...) a nominalistic or processual way, giving a description of the temporal evolution of a situation as against episodic nominalizations that refer to just one single instance of the process. The latter, especially, are characterized by distancing and polarization between the listener and the music, allowing him/her to deal with the music also at a level of mental imagery and to construct a mental or cognitive map of its unfolding. (shrink)

The following thesis discusses a range of central aspects in Timothy Williamson’s so-called «knowledge-first» epistemology. In particular, it adresses whether this kind of epistemological framework is apt to answer the challenges of scepticism.

Abstract In this paper I present a short outline of an Indicativity Theory of Knowledge, for the cases of Perceptual Knowledge and Knowledge by Memory. I explain the main rationale for a token-indicativity approach, and how it is fleshed out precisely in terms of chances. I elaborate on the account of the value of knowledge it provides, and what that value is. I explain why, given the rationale of conceiving Knowledge as token indicativity, separate sub-accounts in terms of chances should (...) be extracted for the different modes of Knowledge, elaborating on the common core of high token-indicativity. In the main section that outlines the account of Perceptual Knowledge, the main Indicativity condition is presented, as are the main condition of in what sense high token indicativity should yields high chance, the important Discriminability condition, and its associated Contrast Class. (shrink)