The Routledge Handbook of the Philosophy of Sport is a landmark publication in sport studies. It goes further than any book has before in tracing the contours of the discipline of the philosophy of sport and in surveying the core themes, approaches and theories that form its disciplinary fabric. The book explores the ways in which an understanding of philosophy can inform our understanding of important prevailing issues in sport. Edited by two of the most significant figures in the development (...) of the philosophy of sport, Mike McNamee and Bill Morgan, and with contributions from many of the world’s leading sport philosophers, this is an invaluable companion reference volume for any course in the social scientific study of sport, and an essential addition to the bookshelf of any serious scholar of the philosophy and/or ethics of sport. (shrink)

This book examines the effects of the market mechanism on economies and societies. It argues that perfect competition has a tendency to promote adulteration of products and a general deterioration in quality. It also contends that it is very difficult for competitive firms to behave in socially desirable ways - being kind to the environment, contributing to worthy social programmes, handling redundancy humanely. The book goes on to propose ways in which these flaws might be remedied without subverting the market (...) mechanism. (shrink)

According to deontic justice theory, individuals often feel principled moral obligations to uphold norms of justice. That is, standards of justice can be valued for their own sake, even apart from serving self-interested goals. While a growing body of evidence in business ethics supports the notion of deontic justice, skepticism remains. This hesitation results, at least in part, from the absence of a coherent framework for explaining how individuals produce and experience deontic justice. To address this need, we argue that (...) a compelling, yet still missing, step is to gain further understanding into the underlying neural and psychological mechanisms of deontic justice. Here, we advance a theoretical model that disentangles three key processes of deontic justice: The use of justice rules to assess events, cognitive empathy, and affective empathy. Together with reviewing neural systems supporting these processes, broader implications of our model for business ethics scholarship are discussed. (shrink)

In their Why Machines Will Never Rule the World, Landgrebe and Smith (2023) argue that it is impossible for artificial general intelligence (AGI) to succeed, on the grounds that it is impossible to perfectly model or emulate the “complex” “human neurocognitive system”. However, they do not show that it is logically impossible; they only show that it is practically impossible using current mathematical techniques. Nor do they prove that there could not be any other kinds of theories than those in (...) current use. Even if perfect theories were impossible or unlikely, perfection may not be needed and may even be unhelpful. (shrink)

This essay considers what it means to understand natural language and whether a computer running an artificial-intelligence program designed to understand natural language does in fact do so. It is argued that a certain kind of semantics is needed to understand natural language, that this kind of semantics is mere symbol manipulation (i.e., syntax), and that, hence, it is available to AI systems. Recent arguments by Searle and Dretske to the effect that computers cannot understand natural language are discussed, and (...) a prototype natural-language-understanding system is presented as an illustration. (shrink)

It is now well-known that Newton–Cartan theory is the correct geometrical setting for modelling the quantum Hall effect. In addition, in recent years edge modes for the Newton–Cartan quantum Hall effect have been derived. However, the existence of these edge modes has, as of yet, been derived using only orthodox methodologies involving the breaking of gauge-invariance; it would be preferable to derive the existence of such edge modes in a gauge-invariant manner. In this article, we employ recent work by Donnelly (...) and Freidel in order to accomplish exactly this task. Our results agree with known physics, but afford greater conceptual insight into the existence of these edge modes: in particular, they connect them to subtle aspects of Newton–Cartan geometry and pave the way for further applications of Newton–Cartan theory in condensed matter physics. (shrink)

In 1956 Jacques Lacan proposed as interpretation of Edgar Allan Poe's "Purloined Letter" that at once challenged literary theorists and revealed a radically new conception of psychoanalysis. Lacan's far-reaching claims about language and truth provoked a vigorous critique by Jacques Derrida, whose essay in turn has spawned further responses from Barbara Johnson, Jane Gallop, Irene Harvey, Norman Holland, and others. The Purloined Poe brings Poe's story together with these readings to provide, in the words of the editors, "a structured exercuse (...) in the elaboration of textual interpretation. The Purloined Poe reprints the full text of Poe's story, followed by Lacan's "Seminar on 'The Purloined Letter,'" along with extensive commentary by the editors. Marie Bonaparte's and Shoshana Felman's discussions of traditional and contemporary approaches to "psychoanalysing" texts precede Alan Bass's new translation of Derrida's "Purveyor of Truth." The subsequent essays join the Lacan-Derrida debate and offer alternative readings by literary theorists, philosophers, psychologists, and psychoanalysts. The Purloined Poe convenes much of the most important current scholarship on "The Purloined Letter" and presents a rich sampling of poststructuralist discourse. (shrink)

There are many branches of philosophy called “the philosophy of X,” where X = disciplines ranging from history to physics. The philosophy of artificial intelligence has a long history, and there are many courses and texts with that title. Surprisingly, the philosophy of computer science is not nearly as well-developed. This article proposes topics that might constitute the philosophy of computer science and describes a course covering those topics, along with suggested readings and assignments.

The doctrine of the spiritual senses has played a significant role in the history of Roman Catholic and Eastern Orthodox spirituality. What has been largely unremarked is that the doctrine also played a significant role in classical Protestant thought, and that analogous concepts can be found in Indian theism. In spite of the doctrine’s significance, however, the only analytic philosopher to consider it has been Nelson Pike. I will argue that his treatment is inadequate, show how the development of the (...) doctrine in Puritan thought and spirituality fills a serious lacuna in Pike’s treatment, and conclude with some suggestions as to where the discussion should go next. (shrink)

In this reply to James H. Fetzer’s “Minds and Machines: Limits to Simulations of Thought and Action”, I argue that computationalism should not be the view that (human) cognition is computation, but that it should be the view that cognition (simpliciter) is computable. It follows that computationalism can be true even if (human) cognition is not the result of computations in the brain. I also argue that, if semiotic systems are systems that interpret signs, then both humans and computers are (...) semiotic systems. Finally, I suggest that minds can be considered as virtual machines implemented in certain semiotic systems, primarily the brain, but also AI computers. In doing so, I take issue with Fetzer’s arguments to the contrary. (shrink)

John Searle once said: "The Chinese room shows what we knew all along: syntax by itself is not sufficient for semantics. (Does anyone actually deny this point, I mean straight out? Is anyone actually willing to say, straight out, that they think that syntax, in the sense of formal symbols, is really the same as semantic content, in the sense of meanings, thought contents, understanding, etc.?)." I say: "Yes". Stuart C. Shapiro has said: "Does that make any sense? Yes: Everything (...) makes sense. The question is: What sense does it make?" This essay explores what sense it makes to say that syntax by itself is sufficient for semantics. (shrink)

This article offers proposed guidelines intended to protect the public interest in relationship to the advocated social responsibilities of successful entrepreneurs. The author argues that the most effective approach, then, is not preaching about obligations but, rather, establishing financial incentives for doing well by doing good. One example is the U.S. patent system. Another is a redesigned tax system that uses imposts to make socially damaging activities expensive, while reducing the financial burden on virtuous behavior.

Part I argues that ontological arguments, like other classical proofs of the existence of God, are parts of larger arguments in which they are embedded. These larger arguments include reasons supporting the proofs’ premises and responses to them, and to the proofs’ claims to validity and non-circularity, since, in the final analysis, our assessment of the proofs will express our best judgment of the cumulative force of all the considerations bearing on their overall adequacy. Part II illustrates these points by (...) examining contemporary defences of, and attacks on, one of the ontological argument’s central premises, namely, that God’s existence is logically possible. (shrink)

This essay presents a philosophical and computational theory of the representation of de re, de dicto, nested, and quasi-indexical belief reports expressed in natural language. The propositional Semantic Network Processing System (SNePS) is used for representing and reasoning about these reports. In particular, quasi-indicators (indexical expressions occurring in intentional contexts and representing uses of indicators by another speaker) pose problems for natural-language representation and reasoning systems, because--unlike pure indicators--they cannot be replaced by coreferential NPs without changing the meaning of the (...) embedding sentence. Therefore, the referent of the quasi-indicator must be represented in such a way that no invalid coreferential claims are entailed. The importance of quasi-indicators is discussed, and it is shown that all four of the above categories of belief reports can be handled by a single representational technique using belief spaces containing intensional entities. Inference rules and belief-revision techniques for the system are also examined. (shrink)

This essay continues my investigation of `syntactic semantics': the theory that, pace Searle's Chinese-Room Argument, syntax does suffice for semantics (in particular, for the semantics needed for a computational cognitive theory of natural-language understanding). Here, I argue that syntactic semantics (which is internal and first-person) is what has been called a conceptual-role semantics: The meaning of any expression is the role that it plays in the complete system of expressions. Such a `narrow', conceptual-role semantics is the appropriate sort of semantics (...) to account (from an `internal', or first-person perspective) for how a cognitive agent understands language. Some have argued for the primacy of external, or `wide', semantics, while others have argued for a two-factor analysis. But, although two factors can be specified–-one internal and first-person, the other only specifiable in an external, third-person way–-only the internal, first-person one is needed for understanding how someone understands. A truth-conditional semantics can still be provided, but only from a third-person perspective. (shrink)

A computer can come to understand natural language the same way Helen Keller did: by using “syntactic semantics”—a theory of how syntax can suffice for semantics, i.e., how semantics for natural language can be provided by means of computational symbol manipulation. This essay considers real-life approximations of Chinese Rooms, focusing on Helen Keller’s experiences growing up deaf and blind, locked in a sort of Chinese Room yet learning how to communicate with the outside world. Using the SNePS computational knowledge-representation system, (...) the essay analyzes Keller’s belief that learning that “everything has a name” was the key to her success, enabling her to “partition” her mental concepts into mental representations of: words, objects, and the naming relations between them. It next looks at Herbert Terrace’s theory of naming, which is akin to Keller’s, and which only humans are supposed to be capable of. The essay suggests that computers at least, and perhaps non-human primates, are also capable of this kind of naming. (shrink)

I advocate a theory of syntactic semantics as a way of understanding how computers can think (and how the Chinese-Room-Argument objection to the Turing Test can be overcome): (1) Semantics, considered as the study of relations between symbols and meanings, can be turned into syntax – a study of relations among symbols (including meanings) – and hence syntax (i.e., symbol manipulation) can suffice for the semantical enterprise (contra Searle). (2) Semantics, considered as the process of understanding one domain (by modeling (...) it) in terms of another, can be viewed recursively: The base case of semantic understanding –understanding a domain in terms of itself – is syntactic understanding. (3) An internal (or narrow ), first-person point of view makes an external (or wide ), third-person point of view otiose for purposes of understanding cognition. (shrink)

Critical Review of Searle's Minds, Brains and Science.

We present a computational analysis of de re, de dicto, and de se belief and knowledge reports. Our analysis solves a problem first observed by Hector-Neri Castañeda, namely, that the simple rule -/- `(A knows that P) implies P' -/- apparently does not hold if P contains a quasi-indexical. We present a single rule, in the context of a knowledge-representation and reasoning system, that holds for all P, including those containing quasi-indexicals. In so doing, we explore the difference between reasoning (...) in a public communication language and in a knowledge-representation language, we demonstrate the importance of representing proper names explicitly, and we provide support for the necessity of considering sentences in the context of extended discourse (for example, written narrative) in order to fully capture certain features of their semantics. (shrink)

This essay examines the role of non-existent objects in "epistemological ontology" — the study of the entities that make thinking possible. An earlier revision of Meinong's Theory of Objects is reviewed, Meinong's notions of Quasisein and Außersein are discussed, and a theory of Meinongian objects as "combinatorially possible" entities is presented.

While epistemic democrats have claimed that majority rule recruits the wisdom of the crowd to identify correct answers to political problems, the conjecture remains abstract. This article illustrates how majority rule leverages the epistemic capacity of the electorate to practically enhance the instrumental value of elections. To do so, we identify a set of sufficient conditions that effect such a majority rule mechanism, even when the decision in question is multidimensional. We then look to the case of sociotropic economic voting (...) in US presidential elections to provide empirical tractability for these conditions. We find that absent such an epistemic capacity a number of presidential elections might well have been decided differently. By generating clear conditions for the plausibility of claims made by epistemic democrats, and demonstrating their correspondence to empirical data, this article strengthens the broader instrumental grounds recommending democracy. (shrink)

During the late-nineteenth and twentieth centuries interpretations of the British Industrial Revolution became embedded within debates over competing systems of political economy, primarily liberal democracy (free trade) versus socialism (state regulation). At the heart of this contest was also the question of epistemology. A picture emerged of the Industrial Revolution that reflected such contrasting perspectives; for those with a Western liberal bent Britain industrialized first due to a weak state, an emphasis upon individual liberty, the right institutions and culture of (...) creativity born of free minds and free markets. At the heart of this was the emergence of science; objectivity and Western democracy became a key cornerstone of this perspective. This view was first especially spearheaded by the Austrian economists Ludwig von Mises (1881–1973) and, slightly later, Friedrich A. Hayek (1899–1992). The debate subsequently became particularly fierce during the Cold War, and since the fall of the Berlin Wall the role of the state and protectionism within Britain’s industrial history has greatly diminished. Indeed today’s dominant historiography continues to erase Britain’s actual industrial experience and, instead, reflect entrenched liberal and neoliberal prescriptions. A major axiom of this ideological viewpoint is the centrality of science and its history. (shrink)

A critical study of John Searle's Minds, Brains and Science (Cambridge, MA: Harvard University Press, 1984).

“Contextual” vocabulary acquisition is the active, deliberate acquisition of a meaning for a word in a text by reasoning from textual clues and prior knowledge, including language knowledge and hypotheses developed from prior encounters with the word, but without external sources of help such as dictionaries or people. But what is “context”? Is it just the surrounding text? Does it include the reader’s background knowledge? I argue that the appropriate context for contextual vocabulary acquisition is the reader’s “internalization” of the (...) text “integrated” into the reader’s “prior” knowledge via belief revision. (shrink)

Originally published in 1991, this book focuses on the concept of virtue, and in particular on the virtue of wisdom or knowledge, as it is found in the epic poems of Homer, some tragedies of Sophocles, selected writings of Plato, Aristotle, and the Stoic and Epicurean philosophers. The key questions discussed are the nature of the virtues, their relation to each other, and the relation between the virtues and happiness or well-being. This book provides the background and interpretative framework to (...) make classical works on Ethics, such as Plato’s _Republic_ and Aristotle’s _Nicomachean Ethics_, accessible to readers with no training in the classics. (shrink)

The evolutionist challenge to moral realism is the skeptical challenge that, if evolution is true, it would only be by chance, a “happy coincidence” as Sharon Street puts it, if human moral beliefs were true. The author formulates Street’s “happy coincidence” argument more precisely using a distinction between probabilistic sensitivity and insensitivity introduced by Elliott Sober. The author then considers whether it could be rational for us to believe that human moral judgments about particular cases are probabilistically sensitive to strongly (...) universal fundamental moral standards of cooperation and fair division. The author provides an explanation of why there would be a benign correlation between human moral judgments in particular cases and the requirements of strongly universal fundamental moral standards. The explanation of the benign correlation is based on group selection for groups of individuals with an egalitarian satisficing psychology and egalitarian norms, because of the ability of such groups to more efficiently solve gene-propagation collective action problems. (shrink)

Turner argues that computer programs must have purposes, that implementation is not a kind of semantics, and that computers might need to understand what they do. I respectfully disagree: Computer programs need not have purposes, implementation is a kind of semantic interpretation, and neither human computers nor computing machines need to understand what they do.

Ford’s Helen Keller Was Never in a Chinese Room claims that my argument in How Helen Keller Used Syntactic Semantics to Escape from a Chinese Room fails because Searle and I use the terms ‘syntax’ and ‘semantics’ differently, hence are at cross purposes. Ford has misunderstood me; this reply clarifies my theory.

On pages 263, 265, and 266, incorrect degrees of freedom and t values were reported. The statistical conclusions are not affected by these reporting errors, but the corrected values are shown below.

Contextual vocabulary acquisition (CVA) is the deliberate acquisition of a meaning for a word in a text by reasoning from context, where “context” includes: (1) the reader’s “internalization” of the surrounding text, i.e., the reader’s “mental model” of the word’s “textual context” (hereafter, “co-text” [3]) integrated with (2) the reader’s prior knowledge (PK), but it excludes (3) external sources such as dictionaries or people. CVA is what you do when you come across an unfamiliar word in your reading, realize that (...) you don’t know what it means, decide that you need to know what it means in order to understand the passage, but there is no one around to ask, and it is not in the dictionary (or you are too lazy to look it up). In such a case, you can try to figure out its meaning “from context”, i.e., from clues in the co-text together with your prior knowledge. Our computational theory of CVA—implemented in a the SNePS knowledge representation and reasoning system [28]—begins with a stored knowledge base containing SNePS representations of relevant PK, inputs SNePS representations of a passage containing an unfamiliar word, and draws inferences from these two (integrated) information sources. When asked to define the word, definition algorithms deductively search the resulting network for information of the sort that might be found in a dictionary definition, outputting a definition frame whose slots are the kinds of features that a definition might contain (e.g., class membership, properties, actions, spatio-temporal information, etc.) and whose slot-fillers contain information gleaned from the network [6–8,20,23,24]. We are investigating ways to make our system more robust, to embed it in a naturallanguage-processing system, and to incorporate morphological information. Our research group, including reading educators, is also applying our methods to the develop-. (shrink)