Reductive intellectualists (e.g., Stanley & Williamson 2001; Stanley 2011a; 2011b; Brogaard 2008; 2009; 2011) hold that knowledge-how is a kind of knowledge-that. If this thesis is correct, then we should expect the defeasibility conditions for knowledge-how and knowledge-that to be uniform—viz., that the mechanisms of epistemic defeat which undermine propositional knowledge will be equally capable of imperilling knowledge-how. The goal of this paper is twofold: first, against intellectualism, we will show that knowledge-how is in fact resilient to being undermined by (...) the very kinds of traditional (propositional) epistemic defeaters which clearly defeat the items of propositional knowledge which intellectualists identify with knowledge-how. Second, we aim to fill an important lacuna in the contemporary debate, which is to develop an alternative way in which epistemic defeat for knowledge-how could be modelled within an anti-intellectualist framework. (shrink)

Knowledge, like other things of value, can be faked. According to Hawley (2011), know-how is harder to fake than knowledge-that, given that merely apparent propositional knowledge is in general more resilient to our attempts at successful detection than are corresponding attempts to fake know-how. While Hawley’s reasoning for a kind of detection resilience asymmetry between know-how and know-that looks initially plausible, it should ultimately be resisted. In showing why, we outline different ways in which know-how can be faked even when (...) a given performance is successful; and in doing so, we distinguish how know-how can be faked (no less than know-that) via upstream and downstream indicators of its presence, and within each of these categories, we’ll distinguish (in connection with detection resilience) both faking symptoms and (various kinds of) criteria. The unappreciated resilience of faked knowledge-how to successful detection highlights a largely overlooked dimension of social-epistemic risk – risk we face not just in our capacity as recipients of testimony, but in our capacity as both (would-be) apprentices and clients of knowledge-how. (shrink)

The problem of Time is one of the most fascinating and yet most difficult of those questions to which the human mind applies itself in philosophical thought. Dean Inge, in his Philosophy of Plotinus, has referred to this problem as ‘the hardest in metaphysics,’ and we know that “from the time of Parmenides and Zeno to that of Mr. Bradley and M. Bergson, there has been no other problem that has seemed so baffling as that of Time.”.

The problem of Time is one of the most fascinating and yet most difficult of those questions to which the human mind applies itself in philosophical thought. Dean Inge, in his Philosophy of Plotinus, has referred to this problem as ‘the hardest in metaphysics,’ and we know that “from the time of Parmenides and Zeno to that of Mr. Bradley and M. Bergson, there has been no other problem that has seemed so baffling as that of Time.”.

In Charles Renouvier we have one of the lone, stern, and indefatigable workers in philosophy in the nineteenth century. His powerful mind, moral earnestness, and intellectual vigour command respect and attention and place him high in the ranks of the philosophical thinkers of his century. He differed profoundly from his English contemporary Spencer and his German contemporary Lotze, both of whom have received more attention than Renouvier. His long and immensely active life fell into periods which coincide with, and partly (...) reflect, the political and intellectual fortunes of his country from the Battle of Waterloo, through the Revolution of 1830, the Second Republic of 1848, the Second Empire, the War and the Commune of 1871, into the Third Republic, with its Dreyfus struggles and its Educational and Disestablishment problems in the early years of the present century. (shrink)

: This paper represents the authors' attempt to provide a useful framework for discussing and investigating the links between the apparently disparate disciplines of neuroscience and dance. This attempt arose from an interdisciplinary course offering on this topic. A clear need apparent in preparing for an exploration of such uncharted territory was for some definition of the relevant landmarks in the form of a conceptual framework. The current status of that developing framework is presented here, as we consider the historical (...) context that contributed to the cultural distance between neuroscience and dance as disciplines; the conceptual and technical obstacles to collaborative work between these disciplines; and the recent developments, both conceptual and technological, that make the interface between neuroscience and dance a particularly fruitful source of inspiration not only for dancers and neuroscientists but potentially for a wide variety of disciplines touching on health and education in general. (shrink)

The stir caused in the civilised world by the writings of Bergson, particularly during the past decade, is evidenced by the volume of the stream of exposition and comment which has flowed and is still flowing. If the French were to be tempted to set up, after the German manner, a Bergson-Archiv they would be in no embarrassment for material, as the Appendix to this book - limited though it wisely is - will show. Mr. Gunn, undaunted by all this, (...) makes a further, useful contribution in his unassuming but workmanlike and well-documented account of the ideas of the distinguished French thinker. It is designed to serve as an introduction to Bergson's philosophy for those who are making their first approach to it, and as such it can be commended. (shrink)

Most growth models for complex networks consider networks comprising a single connected block or island, which contains all the nodes in the network. However, it has been demonstrated that some large complex networks have more than one island, with an island size distribution obeying a power-law function Is~s-α. This paper introduces a growth model that considers the emergence of islands as the network grows. The proposed model addresses the following two features: the probability that a new island is generated decreases (...) as the network grows and new islands are created with a constant probability at any stage of the growth. In the first case, the model produces an island size distribution that decays as a power-law Is~s-α with a fixed exponent α=1 and in-degree distribution that decays as a power-law Qi~i-γ with γ=2. When the second case is considered, the model describes island size and in-degree distributions that decay as a power-law with 2<α<∞ and 2<γ<∞, respectively. (shrink)

It is difficult within the space of an article such as this to do more than indicate the principal features of Renouvier's philosophy, and it is, of course, impossible to give in detail a discussion of the immense wealth of thought and argument contained in his writings. Of his thought before 1854, the most important piece of work was the article on “Philosophie” written for the Encyclopédic Nouvelle. This in some respects shows his own thought developing in the direction.

It is difficult within the space of an article such as this to do more than indicate the principal features of Renouvier's philosophy, and it is, of course, impossible to give in detail a discussion of the immense wealth of thought and argument contained in his writings. Of his thought before 1854, the most important piece of work was the article on “Philosophie” written for the Encyclopédic Nouvelle. This in some respects shows his own thought developing in the direction.

Inductive generalization, where people go beyond the data provided, is a basic cognitive capability, and it underpins theoretical accounts of learning, categorization, and decision making. To complete the inductive leap needed for generalization, people must make a key ‘‘sampling’’ assumption about how the available data were generated. Previous models have considered two extreme possibilities, known as strong and weak sampling. In strong sampling, data are assumed to have been deliberately generated as positive examples of a concept, whereas in weak sampling, (...) data are assumed to have been generated without any restrictions. We develop a more general account of sampling that allows for an intermediate mixture of these two extremes, and we test its usefulness. In two experiments, we show that most people complete simple one-dimensional generalization tasks in a way that is consistent with their believing in some mixture of strong and weak sampling, but that there are large individual differences in the relative emphasis different people give to each type of sampling. We also show experimentally that the relative emphasis of the mixture is influenced by the structure of the available information. We discuss the psychological meaning of mixing strong and weak sampling, and possible extensions of our modeling approach to richer problems of inductive generalization. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Discover the Unknown Chekhov in Your ESL ClassroomNinah Beliavsky (bio)I was born in Moscow, ate aladushki, and listened to my mother read Chekhov in Russian. Kashtanka, a tale about a young, ginger-colored pup who gets lost, made me cry. And when I read about the death of Ivan Dmitrich Kreepikov, in The Death of a Civil Servant, I did not know whether to laugh or to cry. The poor (...) civil servant was sitting and watching an opera in a theater when all of a sudden he sneezed and spattered an old gentlemen, General Shpitzalov, in front of him. Now, as Chekhov writes, sneezing is not prohibited to any one or in any place; peasants sneeze, and even the chiefs of police sneeze. But, you see, the poor civil servant, being very much rank-conscious, could no longer live with himself after committing such a misconduct. He apologized profusely and went home, and without taking off his uniform, he lay down on the sofa, and... died.And what about Van'ka Zhukov, an orphan boy of nine apprenticed to a shoemaker who is being beaten and overworked. He writes a letter to his grandfather on Christmas Eve, begging him for the dear Lord's sake to take him away from his misery. After scratching his head and thinking for a moment, he dips his pen in ink and addresses his envelope: "The Village. To Grand Dad." He then dashes out into the street and pushes his precious letter through the opening of the postbox...The second part of my childhood I spent in Jerusalem; there I ate falafel with humus, was obsessed with perfecting the pronunciation of the Hebrew guttural "r," and read Miriam Yalan Shtekelis's children's poetry, which was filled with magical objects that laughed and cried. By the time I was in high school I was living in Milwaukee, eating fries and ice cream sundaes and reading O. Henry.The literature that one comes in contact with during childhood and young [End Page 101] adulthood is often deeply engraved on a person's psyche. It is similar to an adult craving sweets because of the psychological association with her childhood and a safe and protected environment. We tend to think back to the "good old days" because we find comfort in our past. Today, as an adult, a wife, and a mother, I often find refuge in my childhood memories. And, like most people, much of what I encounter and read today I tend to associate with my past. If I come across a story that I heard in my childhood, as I search for something new and amusing to give to my college English-as-a-Second-Language (ESL) students, I try to incorporate it into my curriculum. A few years ago I came across the story The Necklace by Guy de Mappassant and immediately recalled reading it in my adolescence. This story brought back the warm memories of home that I felt would be understood and identified with by my foreign students. Today, this story is one of my students' favorites. By using stories from my own past, I feel that I can bring to my class discussions a unique perspective—my own recollections and feelings and an interpretation not only academic in nature but also personal. Often, my international students will recall hearing or reading some of the same stories (that I bring to class) in their childhood, in their native tongues, and thus these stories will not seem out of context anymore because there will be a sense of connection.I teach ESL to college students—reading and writing at the intermediate and advanced levels. Aside from following the standard curriculum of using grammar and writing textbooks, I bring to my ESL classes music, opera, art, young adult novels by American writers, and short stories by both international and American writers. For instance, my students enjoy reading O. Henry's "The Christmas Present," "The Last Leaf," and "The Two Thanksgiving Day Gentlemen." These stories are about real people—just like my students—they are about everyday events, they are humorous and tragic in nature, and they have an unexpected twist... (shrink)

It is certainly the case that morality governs the interactions that take place between individuals. But what if morality exists because of these interactions? This book, first published in 2007, argues for the claim that much of the behaviour we view as 'moral' exists because acting in that way benefits each of us to the greatest extent possible, given the socially structured nature of society. Drawing upon aspects of evolutionary game theory, the theory of bounded rationality, and computational models of (...) social networks, it shows both how moral behaviour can emerge in socially structured environments, and how it can persist even when it is not typically viewed as 'rational' from a traditional economic perspective. This book also provides a theory of how moral principles and the moral sentiments play an indispensable role in effective choice, acting as 'fast and frugal heuristics' in social decision contexts. (shrink)

We develop and defend a new approach to counterlogicals. Non-vacuous counterlogicals, we argue, fall within a broader class of counterfactuals known as counterconventionals. Existing semantics for counterconventionals, 459–482 ) and, 1–27 ) allow counterfactuals to shift the interpretation of predicates and relations. We extend these theories to counterlogicals by allowing counterfactuals to shift the interpretation of logical vocabulary. This yields an elegant semantics for counterlogicals that avoids problems with the usual impossible worlds semantics. We conclude by showing how this approach (...) can be extended to counterpossibles more generally. (shrink)

This book presents a comprehensive overview of what the criminal law would look like if organised around the principle that those who deserve punishment should receive punishment commensurate with, but no greater than, that which they deserve. Larry Alexander and Kimberly Kessler Ferzan argue that desert is a function of the actor's culpability, and that culpability is a function of the risks of harm to protected interests that the actor believes he is imposing and his reasons for acting in (...) the face of those risks. The authors deny that resultant harms, as well as unperceived risks, affect the actor's desert. They thus reject punishment for inadvertent negligence as well as for intentions or preparatory acts that are not risky. Alexander and Ferzan discuss the reasons for imposing risks that negate or mitigate culpability, the individuation of crimes, and omissions. (shrink)

Feature selection is a widely studied technique whose goal is to reduce the dimensionality of the problem by removing irrelevant features. It has multiple benefits, such as improved efficacy, efficiency and interpretability of almost any type of machine learning model. Feature selection techniques may be divided into three main categories, depending on the process used to remove the features known as Filter, Wrapper and Embedded. Embedded methods are usually the preferred feature selection method that efficiently obtains a selection of the (...) most relevant features of the model. However, not all models support an embedded feature selection that forces the use of a different method, reducing the efficiency and reliability of the selection. Neural networks are an example of a model that does not support embedded feature selection. As neural networks have shown to provide remarkable results in multiple scenarios such as classification and regression, sometimes in an ensemble with a model that includes an embedded feature selection, we attempt to embed a feature selection process with a general-purpose methodology. In this work, we propose a novel general-purpose layer for neural networks that removes the influence of irrelevant features. The Feature-Aware Drop Layer is included at the top of the neural network and trained during the backpropagation process without any additional parameters. Our methodology is tested with 17 datasets for classification and regression tasks, including data from different fields such as Health, Economic and Environment, among others. The results show remarkable improvements compared to three different feature selection approaches, with reliable, efficient and effective results. (shrink)