This article argues that abstract knowledge in the form of formally developed theory plays an increasingly important role in the economy and in financial innovation in particular.knowledge is easily reified, and this is an aspect of knowledge work that is insufficiently researched. In this article, we problematize reification of abstract knowledge in financial innovation from wisdom, ethics, and social network analysis perspectives. This article, therefore, considers the composition and structures of financial innovation networks that (...) help avoid reification by building ethicality through social practice wisdom. Finally, we discuss future directions that empirical ethics research can take. (shrink)

How does Quine fare in the first decades of the twenty-first century? In this paper I examine a cluster of Quinean theses that, I believe, are especially fruitful in meeting some of the current challenges of epistemology and ontology. These theses offer an alternative to the traditional bifurcations of truth and knowledge into factual and conceptual-pragmatic-conventional, the traditional conception of a foundation for knowledge, and traditional realism. To make the most of Quine’s ideas, however, we have to take (...) an active stance: accept some of his ideas and reject others, sort different versions of the relevant ideas, sharpen or revise some of the ideas, connect them with new, non-Quinean ideas, and so on. As a result the paper pits Quine against Quine, in an attempt to identify those Quinean ideas that have a lasting value and sketch potential developments. (shrink)

In this paper a parallel is drawn between the problem of epistemic access to abstract objects in mathematics and the problem of epistemic access to idealized systems in the physical sciences. On this basis it is argued that some recent and more traditional approaches to solving these problems are problematic.

According to platonists, entities such as numbers, sets, propositions and properties are abstract objects. But abstract objects lack causal powers and a location in space and time, so how could we ever come to know of the existence of such impotent and remote objects? In Knowledge, Cause, and Abstract Objects, Colin Cheyne presents the first systematic and detailed account of this epistemological objection to the platonist doctrine that abstract objects exist and can be known. Since (...) mathematics has such a central role in the acquisition of scientific knowledge, he concentrates on mathematical platonism. He also concentrates on our knowledge of what exists, and argues for a causal constraint on such existential knowledge. Finally, he exposes the weaknesses of recent attempts by platonists to account for our supposed platonic knowledge. This book will be of particular interest to researchers and advanced students of epistemology and of the philosophy of mathematics and science. It will also be of interest to all philosophers with a general interest in metaphysics and ontology. (shrink)

Book Information Knowledge, Cause, and Abstract Objects: Causal Objections to Platonism. Knowledge, Cause, and Abstract Objects: Causal Objections to Platonism Colin Cheyne , Dordrecht: Kluwer Academic Publishers , 2001 , xvi + 236 , £55 ( cloth ) By Colin Cheyne. Dordrecht: Kluwer Academic Publishers. Pp. xvi + 236. £55.

We present five experiments and simulation studies to establish late analogical abstraction as a new psychological phenomenon: Schema abstraction from analogical examples can revive otherwise inert knowledge. We find that comparing two analogous examples of negotiations at recall time promotes retrieving analogical matches stored in memory—a notoriously elusive effect. Another innovation in this research is that we show parallel effects for real‐life autobiographical memory (Experiments 1–3) and for a controlled memory set (Experiments 4 and 5). Simulation studies show that (...) a unified model based on schema abstraction can capture backward (retrieval) effects as well as forward (transfer) effects. (shrink)

Renaissance philosopher, mathematician, and theologian Nicholas of Cusa (1401-1464) said that there is no proportion between the finite mind and the infinite. He is fond of saying reason cannot fully comprehend the infinite. That our best hope for attaining a vision and understanding of infinite things is by mathematics and by the use of contemplating symbols, which help us grasp "the absolute infinite". By the late 19th century, there is a decisive intervention in mathematics and its philosophy: the philosophical mathematician (...) Georg Cantor (1845-1918) says that between the realm of the finite and the absolute infinite, there is an intermediate realm partaking in properties in a certain sense of both the finite and the infinite: the transfinite realm. Like the finite, the transfinite realm is a realm of mathematical objects, numbers, and knowledge. Like the absolute infinite, the transfinite is a form of infinity insofar as transfinite sets and numbers transcend any finite number. Echoing Cusanus and neo-Platonism, Cantor says that the transfinite sequence of all ordinals is a symbol of the absolutely infinite, that is, God. This paper considers how the doctrine of symbolism and the philosophers' different commitments to the laws of logic, especially the Law of Non-Contradiction (LNC), enables these thinkers to articulate a transcendental apophatic approach to divinity. (shrink)

Inside Knowledge: (Un)doing Ways of Knowing in the Humanities is a collection of original essays proposing a fresh examination of epistemological questions relevant to scholars in any discipline of the humanities. Is objective knowledge still a viable ideal? Can art produce or express knowledge of any kind? Is the body a promising medium for a knowledge less abstract or logocentric than the kind Western culture has favoured so far? How are epistemological regimes maintained with the (...) use of established linguistic tropes? Is knowledge to be resisted or employed as a tool of resistance? Distinguished as well as young, emerging scholars from disciplines such as philosophy, comparative literature, musicology and art theory discuss concrete case studies in which these questions arise. The essays share a commitment to interdisciplinary approaches and the close analysis of cultural objects, and refuse to take for granted the conventional methodologies that often guide research projects in their respective fields. The Inside Knowledge volume stages encounters between different ways of knowing, which contribute to an interdiciplinary understanding of the concept of knowledge and of epistemological questions in the humanities. (shrink)

In this paper, we are going to describe a particular scheme for utilizing current web-based technologies for use in facilitating the understanding, and utilization, of a cooperative knowledge infrastructure. We will describe the reasons we feel our KnowledgeScape mapping system would be a valuable addition to any corporation's intranet. We begin with a description of the modern workplace. We find that there are certain problems within the modern workplace that we may be able to help address. Two of these (...) problems are the recognition of the value of emergent communities, and the current inability of corporate organizational charting techniques to account for and nurture these informal, but potentially valuable, groups. Next, we will look at some of the interesting philosophical and sociological concepts that directly apply to the issues we raise. Once we have a clear conception of the philosophical background we will attempt to apply these ideas within the design of our proposed knowledge infrastructure mapping tool. Additionally, we will provide a description of the current technologies we surveyed for use in our project and the strengths and weaknesses we found in each of them. Here we will look at how to use current technologies in new ways that will address some of our concerns and ideas. We will conclude with a look at how the KnowledgeScape mapping technique could be of use in any endeavor that seeks to enable the use of large archives or stores of knowledge. We find that the KnowledgeScape mapping scheme would be useful in projects for representing competency, intellectual capital, etc., or any other project that has to do with creating digital archives or libraries. (shrink)

Abstract"Knowledge of self, knowledge of others, error and the place of consciousness" examines texts and problems from the phenomenological tradition to show that the other does not present her/himself as a consciousness enclosed in a merely material body. I discuss Merleau-Ponty's attempt to supplant this view with the view that the other is always seen as an "incarnate consciousness" - a unity of mind and body in activity. This view faces a difficulty in that it seems to (...) collapse the distinction between one's own understanding of one's behavior and the understanding which another might have of this same behavior. In response to this objection, I study how the meaning of people's behaviors are settled in dialogue. I argue that the meanings that an actor gives to her or his behavior cannot rest entirely with that person, nor are they determined solely by the interpreter, but instead develop in the interaction between the actor and the interpreter. (shrink)

Discovering the influences between paintings and artists is very important for automatic art analysis. Lately, this problem has gained more importance since research studies are looking into explanations about the origin and evolution of artistic styles, which is a related problem. This paper proposes to build a multiplex artwork representation based on artistic formal concepts to gain more understanding about the aforementioned problem. We complement and built our approach on the previous notion of Creativity Implication Network. We used the recently (...) proposed MultiRank algorithm to suggest possible explanations of the dynamic of some artistic styles. Our results corroborate some well-known facts about the artists analyzed and give qualitative and quantitative information that show the possibilities and strengths of the proposed framework. We plan to expand our analysis to include more abstract artworks. Ideally, we are going to be able to validate more our results and test how our methodology could be used to generate visual artifacts too. (shrink)

This experimental study provides further support for a theory of meaning first put forward by Bar-Hillel and Carnap in 1953 and foreshadowed by Asimov in 1951. The theory is the Popperian notion that the meaningfulness of a proposition is its a priori falsity. We tested this theory in the first part of this paper by translating to logical form a long, tightly written, published text and computed the meaningfulness of each proposition using the a priori falsity measure. We then selected (...) the top propositions—by a priori falsity—and strung them together to form ad hoc abstracts and compared these abstracts with the published summary. The results were startling: translation to logical form, followed by application of the Asimovian idea and Bar-Hillel/Carnap mathematics as elaborated into an AI/NLP proposal in Fulda (1986, 1988), produced excellent abstracts, thereby providing a proof-of-concept that merely by knowing the logical form of long text passages, one can produce reasonable abstracts of them—without actually understanding the text. We here report on a second experiment analyzing, in the exact same manner, the correspondence that followed the published text of the first experiment. While the results of this confirming experiment are less startling, they nevertheless provide additional confidence in the promise of the technique. In other words, were the results of these two experiments to generalize, that would show that logical form captures much more semantics than has heretofore been considered likely. Far from (as is commonly supposed) being merely the syntactical rewrite of text into formal notation, translation to logical form, even when undertaken with almost no knowledge about the particular predicates, individual constants, or other objects referred to in that form, might capture the core of the meaning in some important sense. -/- Note: There is a key difference in the /style/ of the texts analyzed in I and II in this long paper, divided into two only for practical reasons—space; the first text analyzed is written in a tight mathematical style, while the second is written in the discursive style of philosophy. -/- Finally, the unusual (for me) length of this two-part paper is justified by its being data-driven. (shrink)

The examination of "Taiwanese Philosophy" is intricately influenced by the complex meanings of its terms4, fostering a range of interpretations and understandings that play a crucial role in the methodological discussions on how Taiwanese philosophical ideas are analyzed and developed. I highlight that the conventional approaches to interpreting "Taiwanese Philosophy" are mainly divided into two models: the PIT framework, signifying "Philosophical activities in Taiwan," and the TP framework, indicating "Taiwanese Philosophy noted for its unique subjectivity" (see Hung & Gao 2018)5. (...) In the early twentieth century, Mou Zongsan's emergence of New Confucianism shaped the academic reception towards the PIT model and elicited critiques of the TP perspective. This trend guided scholars in Chinese philosophy towards the CPIT (Chinese Philosophy in Taiwan) approach for deciphering "Taiwanese Philosophy," typically viewing it as a form of "Chinese philosophical endeavors in Taiwan." The prevailing contemporary academic opinion posits that initial supporters of New Confucianism failed to recognize Taiwanese philosophy’s unique characteristics and position following colonialism, reducing it to the CPIT model. This stance places "Taiwanese Philosophy" within the broader realm of Chinese Philosophy, highlighting the hierarchical differences between Chinese and Taiwanese philosophical traditions, which later drew substantial critique from supporters of Western liberalism and decolonization efforts. Recently, the importance of "Taiwanese Philosophy" and "Taiwanese Theory" has been increasingly acknowledged, with a growing agreement that "Taiwanese Philosophy," ideally interpreted through the TP model6, mirrors Taiwan's collective ethos and academic value rather than the more exhaustive PIT classification, which encompasses diverse philosophical lineages. Proponents of TP recognize the historical importance of the PIT model in documenting the evolution of Taiwanese Philosophy but strongly dispute its completeness for grasping the essence of "Taiwanese Philosophy." I intend to argue that, notwithstanding the recent criticisms against the PIT approach, revisiting PIT with the aid of extensive textual collections, cultural archives, and the study of intellectual history might offer a solid basis for a deeper appreciation of TP. It will explore how the PIT model can lead to significant misunderstandings by introducing two main biases: the belief that PIT sufficiently encapsulates "Taiwanese Philosophy," and the limitation of PIT to a mere geographical context. In addressing these biases, I offer a potential amicable reinterpretation and reassess the critical elements for a metaphysical description of the subjectivity emphasized in TP. -/- Keywords: Optimal interpretation of Taiwanese Philosophy, Subjectivity and Agency, Genealogy of Knowledge, Methodology of Constructing Theories, Characteristics of Regional Philosophy. (shrink)

argumentation, as originally defined by Dung, is a model that allows the description of certain information about arguments and relationships between them: in an abstract argumentation framework, the agent knows for sure whether a given argument or attack exists. It means that the absence of an attack between two arguments can be interpreted as “we know that the first argument does not attack the second one”. But the question of uncertainty in abstract argumentation has received much attention in (...) the last years. In this paper, we survey approaches that allow to express information like “There may be an attack between these arguments”. We describe the main models that incorporate qualitative uncertainty in abstract argumentation, as well as some applications of these models. We also highlight some open questions that deserve some attention in the future. (shrink)

concepts typically are defined in terms of lacking physical or perceptual referents. We argue instead that they are not devoid of perceptual information because knowledge of real-world situations is an important component of learning and using many abstract concepts. Although the relationship between perceptual information and abstract concepts is less straightforward than for concrete concepts, situation-based perceptual knowledge is part of many abstract concepts. In Experiment 1, participants made lexical decisions to abstract words that (...) were preceded by related and unrelated pictures of situations. For example, share was preceded by a picture of two girls sharing a cob of corn. When pictures were presented for 500 ms, latencies did not differ. However, when pictures were presented for 1,000 ms, decision latencies were significantly shorter for abstract words preceded by related versus unrelated pictures. Because the abstract concepts corresponded to the pictured situation as a whole, rather than a single concrete object or entity, the necessary relational processing takes time. In Experiment 2, on each trial, an abstract word was presented for 250 ms, immediately followed by a picture. Participants indicated whether or not the picture showed a normal situation. Decision latencies were significantly shorter for pictures preceded by related versus unrelated abstract words. Our experiments provide evidence that knowledge of events and situations is important for learning and using at least some types of abstract concepts. That is, abstract concepts are grounded in situations, but in a more complex manner than for concrete concepts. Although people's understanding of abstract concepts certainly includes knowledge gained from language describing situations and events for which those concepts are relevant, sensory and motor information experienced during real-life events is important as well. (shrink)

Contents: Matti SINTONEN: From the Science of Logic to the Logic of Science. I: HISTORICAL PERSPECTIVES. Zev BECHLER: Hintikka on Plenitude in Aristotle. Marja-Liisa KAKKURI-KNUUTTILA: What Can the Sciences of Man Learn from Aristotle? Martin KUSCH: Theories of Questions in German-Speaking Philosophy Around the Turn of the Century. Nils-Eric SAHLIN: 'HE IS NO GOOD FOR MY WORK': On the Philosophical Relations between Ramsey and Wittgenstein. II: FORMAL TOOLS: INDUCTION, OBSERVATION AND IDENTIFIABILITY. Theo A.F. KUIPERS: The Carnap-Hintikka Programme in Inductive Logic. (...) Isaac LEVI: Caution and Nonmonotonic Inference. Ilkka NIINILUOTO: Inductive Logic, Atomism, and Observational Error. Arto MUTANEN: Theory of Identifiability. III: QUESTIONS IN INQUIRY: THE INTERROGATIVE MODEL. Sylvain BROMBERGER: Natural Kinds and Questions. Scott A. KLEINER: The Structure of Inquiry in Developmental Biology. Andrzej WISNIEWSKI: Some Foundational Concepts of Erotetic Semantics. Jan WOLE??N??SKI: Science and Games. IV: GROWTH OF KNOWLEDGE: EXPLANATION AND DISCOVERY. Matti SINTONEN: Explanation: The Fifth Decade. Erik WEBER: Scientific Explanation and the Interrogative Model of Inquiry. George GEBHARD: Scientific Discovery, Induction, and the Multi-Level Character of Scientific Inquiry. Mika KIIKERI: On the Logical Structure of Learning Models. V: JAAKKO HINTIKKA: REPLIES. VI: ABSTRACTS. (shrink)

The Abstract Conceptual Feature (ACF) framework predicts that word meaning is represented within a high‐dimensional semantic space bounded by weighted contributions of perceptual, affective, and encyclopedic information. The ACF, like latent semantic analysis, is amenable to distance metrics between any two words. We applied predictions of the ACF framework to abstract words using eyetracking via an adaptation of the classical “visual word paradigm” (VWP). Healthy adults (n = 20) selected the lexical item most related to a probe word (...) in a 4‐item written word array comprising the target and three distractors. The relation between the probe and each of the four words was determined using the semantic distance metrics derived from ACF ratings. Eye movement data indicated that the word that was most semantically related to the probe received more and longer fixations relative to distractors. Importantly, in sets where participants did not provide an overt behavioral response, the fixation rates were nonetheless significantly higher for targets than distractors, closely resembling trials where an expected response was given. Furthermore, ACF ratings which are based on individual words predicted eye fixation metrics of probe‐target similarity at least as well as latent semantic analysis ratings which are based on word co‐occurrence. The results provide further validation of Euclidean distance metrics derived from ACF ratings as a measure of one facet of the semantic relatedness of abstract words and suggest that they represent a reasonable approximation of the organization of abstract conceptual space. The data are also compatible with the broad notion that multiple sources of information (not restricted to sensorimotor and emotion information) shape the organization of abstract concepts. While the adapted “VWP” is potentially a more metacognitive task than the classical visual world paradigm, we argue that it offers potential utility for studying abstract word comprehension. (shrink)

Think of a number, any number, or properties like fragility and humanity. These and other abstract entities are radically different from concrete entities like electrons and elbows. While concrete entities are located in space and time, have causes and effects, and are known through empirical means, abstract entities like meanings and possibilities are remarkably different. They seem to be immutable and imperceptible and to exist "outside" of space and time. This book provides a comprehensive critical assessment of the (...) problems raised by abstract entities and the debates about existence, truth, and knowledge that surround them. It sets out the key issues that inform the metaphysical disagreement between platonists who accept abstract entities and nominalists who deny abstract entities exist. Beginning with the essentials of the platonist–nominalist debate, it explores the key arguments and issues informing the contemporary debate over abstract reality: arguments for platonism and their connections to semantics, science, and metaphysical explanation the abstract–concrete distinction and views about the nature of abstract reality epistemological puzzles surrounding our knowledge of mathematical entities and other abstract entities. arguments for nominalism premised upon concerns about paradox, parsimony, infinite regresses, underdetermination, and causal isolation nominalist options that seek to dispense with abstract entities. Including chapter summaries, annotated further reading, and a glossary, _Entities_ is essential reading for anyone seeking a clear and authoritative introduction to the problems raised by abstract entities. (shrink)

Abstract: Knowledge requires more than mere true belief, and we also tend to think it is more valuable. I explain the added value that knowledge contributes if its extra ingredient beyond true belief is tracking . I show that the tracking conditions are the unique conditions on knowledge that achieve for those who fulfill them a strict Nash Equilibrium and an Evolutionarily Stable Strategy in what I call the True Belief Game. The added value of these (...) properties, intuitively, includes preparedness and an expectation of survival advantage. On this view knowledge is valuable not because knowledge persists but because it makes the bearer more likely to maintain an appropriate belief state—possibly nonbelief—through time and changing circumstances. When Socrates concluded that knowledge of the road to Larissa was no more valuable than true belief for the purpose of getting to Larissa, he did not take into account that one might want to be prepared for a possible meeting with a misleading sophist along the way, or for the possibility of road work. (shrink)

ABSTRACT Michael Rescorla has argued that it makes sense to compute directly with numbers, and he faulted Turing for not giving an analysis of number-theoretic computability. However, in line with a later paper of his, it only makes sense to compute directly with syntactic entities, such as strings on a given alphabet. Computing with numbers goes via notation. This raises broader issues involving de re propositional attitudes towards numbers and other non-syntactic abstract entities.

Invariantists argue that the notion of concept in psychology should be reserved for knowledge that is retrieved in a context-insensitive manner. Contextualists argue that concepts are to be understood in terms of context-sensitive ad hoc constructions. I review the central empirical evidence for and against both views and show that their conclusions are based on a common mischaracterization of both theories. When the difference between contextualism and invariantism is properly understood, it becomes apparent that the way the question of (...) stability is currently investigated will not lead to a consensus. Instead of focusing directly on stability, we should turn our attention to other desiderata on a theory of concepts. In particular, I show that invariantism, but not contextualism, fails to account for compositionality and abstract concepts. (shrink)

Multimedia learning research addresses the question of how to design instructional material effectively. Signaling and adding graphics are typical instructional means that might support constructing a mental model, particularly when learning abstract content from multiple representations. Although signals can help to select relevant aspects of the learning content, additional graphics could help to visualize mentally the subject matter. Learners’ prior knowledge is an important factor for the effectiveness of both types of support: signals and added graphics. Therefore, we (...) conducted an experimental study situated in a university course of computer science with N = 124 participants. In our 2 × 2 factorial design, we investigated the effects of signals and illustrating graphics on learning outcomes and their potential interplay. Based on our regression analysis, we revealed prior knowledge as a significant moderator. Although learners with low levels of prior knowledge can profit from all types of help but still gain rather weak learning outcomes, learners with medium levels of prior knowledge profit from the synergy of both helps. With higher levels of prior knowledge, signals were particularly hampering. To improve the understanding of these supportive or hampering effects, a more fine-grained analysis of these processes and motivational effects is necessary. (shrink)

ABSTRACT: According to a traditional account, understanding why X occurred is equivalent to knowing that X was caused by Y. This paper defends the account against a major objection, viz., knowing-that is not sufficient for understanding-why, for understanding-why requires a kind of grasp while knowledge-that does not. I discuss two accounts of grasp in recent literature and argue that if either is true, then knowing that X was caused by Y entails at least a rudimentary understanding of why (...) X occurred. If my defense is successful, it would cast doubt on an influential account of the epistemic value of understanding. (shrink)

This article discusses the argument we cannot have knowledge of abstract entities because they are not part of the causal order. The claim of this article is that the argument fails because of equivocation. Assume that the “causal order” is concerned with contingent facts involving time and space. Even if the existence of abstract entities is not contingent and does not involve time or space it does not follow that no truths about abstract entities are contingent (...) or involve time or space. I argue that it is the latter which is required to obtain the desired conclusion. (shrink)

Abstract: Background: In spite of the fact that computers continue to improve in speed and functions operation, they remain complex to use. Problems frequently happen, and it is hard to resolve or find solutions for them. This paper outlines the significance and feasibility of building a desktop PC problems diagnosis system. The system gathers problem symptoms from users’ desktops, rather than the user describes his/her problems to primary search engines. It automatically searches global databases of problem symptoms and solutions, (...) and also allows ordinary users to contribute exact problem reports in a structured manner. Objectives: The main goal of this Knowledge Based System is to get the suitable problem desktop PC symptoms and the correct way to solve the errors. Methods: In this paper the design of the proposed Knowledge Based System which was produced to help users of desktop PC in knowing many of the problems and error such as : Power supply problems, CPU errors, RAM dumping error, hard disk errors and bad sectors and suddenly restarting PC. The proposed Knowledge Based System presents an overview about desktop PC hardware errors are given, the cause of fault are outlined and the solution to the problems whenever possible is given out. CLIPS Knowledge Based System language was used for designing and implementing the proposed expert system. Results: The proposed PC desktop troubleshooting Knowledge Based System was evaluated by IT students and they were satisfied with its performance. (shrink)

In this paper I focus on the Hungarian intellectual and politician Paul Szende’s sociologically oriented epistemology. I trace the influences of physiology, psychology, economy, evolutionary theory of his day on his sociological theory of abstractive knowledge, and discuss the close connection between physiological, social, and economic aspects in the early sociology of knowledge. My discussion continues with an examination of Szende’s differentiation between two economic effects within social epistemology: on the one hand the ‘economy of thought’ in the (...) tradition of Ernst Mach, with its physiological, organic, and integrative functioning of knowledge; on the other hand, the socio-economic effects of social selection, exclusion, and societal antagonism. Besides the Marxist and more specifically the Austro-Marxist environment of Szende’s writings, I trace the influence of the economic theory of Italian economist Achille Loria on Szende’s understanding of the antagonistic nature of the transformation of knowledge. The paper is set at the intersection of philosophy of science and history of science. It relates epistemological issues to historical, social, and scientific developments in Szende’s day and thus combines a philosophical analysis of Szende’s sociological theory of knowledge with historical research into the natural, social, and economic sciences of his time. (shrink)

TheConceptual Feature framework predicts that word meaning is represented within a high-dimensional semantic space bounded by weighted contributions of perceptual, affective, and encyclopedic information. The ACF, like latent semantic analysis, is amenable to distance metrics between any two words. We applied predictions of the ACF framework to abstract words using eyetracking via an adaptation of the classical “visual word paradigm”. Healthy adults selected the lexical item most related to a probe word in a 4-item written word array comprising the (...) target and three distractors. The relation between the probe and each of the four words was determined using the semantic distance metrics derived from ACF ratings. Eye movement data indicated that the word that was most semantically related to the probe received more and longer fixations relative to distractors. Importantly, in sets where participants did not provide an overt behavioral response, the fixation rates were nonetheless significantly higher for targets than distractors, closely resembling trials where an expected response was given. Furthermore, ACF ratings which are based on individual words predicted eye fixation metrics of probe-target similarity at least as well as latent semantic analysis ratings which are based on word co-occurrence. The results provide further validation of Euclidean distance metrics derived from ACF ratings as a measure of one facet of the semantic relatedness of abstract words and suggest that they represent a reasonable approximation of the organization of abstract conceptual space. The data are also compatible with the broad notion that multiple sources of information shape the organization of abstract concepts. While the adapted “VWP” is potentially a more metacognitive task than the classical visual world paradigm, we argue that it offers potential utility for studying abstract word comprehension. (shrink)

Neologicists have sought to ground mathematical knowledge in abstraction. One especially obstinate problem for this account is the bad company problem. The leading neologicist strategy for resolving this problem is to attempt to sift the good abstraction principles from the bad. This response faces a dilemma: the system of ‘good’ abstraction principles either falls foul of the Scylla of inconsistency or the Charybdis of being unable to recover a modest portion of Zermelo–Fraenkel set theory with its intended generality. This (...) article argues that the bad company problem is due to the ‘static’ character of abstraction on the neologicist's account and develops a ‘dynamic’ account of abstraction that avoids both horns of the dilemma. 1 Introduction2ion Reconstructed3 From Bad to Worse4 Abstraction Reconceived5 Bad Company Made GoodA AppendixA.1SemanticsA.2LogicA.3ConsistencyA.4Strength. (shrink)

Our thoughts depend on knowledge about objects, people, properties, and events. In order to think about where we left our keys, what we are going to make for dinner, when we last fed the dogs, and how we are going to survive our next visit with our family, we need to know something about locations, keys, cooking, dogs, survival, families, and so on. Researchers have sought to explain how our brains can store and access such general knowledge. A (...) growing body of evidence suggests that many of our concepts are grounded in action, emotion, and perception systems. We appear to think about the world by means of the same mechanisms that we use to experience it. Abstract concepts like ‘democracy,’ ‘fermion,’ ‘piety,’ ‘truth,’ and ‘zero’ represent a clear challenge to this idea. Given that they represent a uniquely human cognitive achievement, answering the question of how we acquire and use them is central to our ability to understand ourselves. This book argues that abstract concepts are heterogeneous and pose three important challenges to embodied cognition. They force us to ask: How do we generalize beyond the specifics of our experience? How do we think about things that we do not experience directly? How do we adapt our thoughts to specific contexts and tasks? It argues that a successful theory of grounding must embrace multimodal representations, hierarchical architecture, and linguistic scaffolding. Abstract concepts are the product of an elastic mind. (shrink)

Excerpt from The Pragmatic Element in Knowledge And whatever our concepts or meanings may be, there is a truth about them just as absolute and just as definite and certain as in the case of mathematics. In other fields we so seldom try to think in the abstract, or by pure logic, that we do not notice this. But obviously it is just as true. Wherever there is any set of interrelated concepts, there, quite apart from all questions (...) of application or the things we use them of, we have generated a whole complex array of orderly relations or patterns of meaning. And there must be a truth about these - a purely logical truth, in abstracto, and a truth which is certain apart from experience - even though this is only a part of the truth which we want to discover, and the rest of it is of a quite different sort which depends upon experience. Ordinarily we do not separate out this a'priori truth, because ordinarily we do not distinguish the purely logical significance of concepts from the application of words to sensible things. In fact it is only the mathematician who is likely to do this at all. But I should like to indicate that this separation is always possible and that it is important for the understanding of knowledge. To this end, let me use the term 'concept' for this element of purely logical meaning. We can then discriminate the conceptual element in thought as the element which two minds must have in common - not merely may have or do have but absolutely must have in common - when they understand each other. I suppose it is a frequent assumption that we are able to apprehend one another's meanings because our images and sensations are alike. But a little thought will Show that this assumption is very dubious. About the Publisher Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works. (shrink)

This is the proceedings of the first TARK conference, with papers by (among others) Aumann, Hintikka, Fagin, Moses, and Vardi. It includes my first overview on knowledge.