Anthony Beavers

Though the Internet has been around since the 1960s, the World Wide Web is now only ten years old. In that time, it has seen unprecedented growth. This review examines two tools that are part of this revolution, Google Scholar and Google News, and assesses their utility for teaching philosophy. While Google Scholar might at this time have limited classroom use, Google News is immediately useful for a variety of philosophy courses. This is due, in part, to the rich customization that the service provides and the global scope of the resources it documents.

Noesis is an Internet search engine dedicated to mapping the profession of philosophy online. In this paper, I recount the history of the project's development since 1998 and discuss the role it may play in representing philosophy optimally, adequately, fairly, and accessibly. Unlike many other representations of philosophy, Noesis is dynamic in the sense that it constantly changes and inclusive in the sense that it lets the profession speak for itself about what philosophy is, how it is practiced, and why it is important. In this paper, I explain how Noesis is dynamic and inclusive. I close by suggesting why such a communitarian representation of the profession is both timely and necessary

This special issue of Minds and Machines contains a number of responses to Luciano Floridi’s groundbreaking Philosophy of Information (Oxford 2011). The essays contained here have been grouped by topic; essays 1–5 concern epistemological features of Floridi’s approach, and essays 6–8 address his metaphysics.In “On Floridi’s Method of Levels ofion”, Jan van Leeuwen addresses Floridi’s operational definition of a level of abstraction. Emphasizing the link between Floridi’s notion of abstraction and that used in computer science, van Leeuven notes that the method of levels of abstraction may require supplementation in the form of annotation. Annotations, which exist “outside” the formal limits of the levels of abstraction to which they are attached, specify what perspective should be taken towards those levels. Annotations so understood both facilitate the expression of semantic information and elucidate the relationship between levels of abstraction. van Leeuwen then uses a case

The question of the source of the moral "ought" is no small question, nor is it unimportant. Our own philosophical tradition has dealt with the question in several ways producing a variety of answers. Some of these include locating the "ought" in the structure of reason, in the human being's desire for pleasure, or in the will of God. The reason why the question is so important is because different conceptions of the source of the moral ought ultimately give rise to different conceptions of what is right and wrong; they also affect the way we answer the biggest of all ethical questions, why be good

The goal of this paper is to locate the precise moment in which reason becomes endowed with an ought. In stating the goal in this way, something has already been said about Kant and his project of grounding the metaphysics of morals. But in speaking of a moment (or an instant or an event or an occasion) in which reason becomes endowed with an ought, that is, a moment in which pure reason becomes practical, we have already headed off in a direction beyond the metaphysics of morals. For by invoking the moment, we have invoked something concrete. This distinguishes the current project from the Kantian enterprise in that Kant sought the universal conditions of morality as they followed from a rationality already endowed with an ought. In so doing, he could identify that the ideas of morality and freedom were concomitantly related (along with reason itself), but he could not show that any of these ever materialized in concrete experience. Toward the end of the Grounding for the Metaphysics of Morals, he writes, "we have finally traced the determinate concept of morality back to the idea of freedom, but we could not prove freedom to be something actual in ourselves and in human nature" (GMM 51). On the next page, he writes: ... we are not as yet able to have any insight into why it is that we should divorce ourselves from such interest, i.e., that we should consider ourselves as free in action and yet hold ourselves as subject to certain laws so as to find solely in our own person a worth that can compensate us for the loss of everything that gives worth to our condition. We do not see how this is possible and hence how the moral law can obligate us. One must frankly admit that there is here a sort of circle from which, so it seems, there is no way to escape. (GMM 52. Emphasis is mine.) Even though Kant can align the concepts of freedom, reason and the moral law, it would seem that the obligating force of morality has slipped beneath his grip, and he is left to analyze the idea of moral obligation in its place.1 The present study seeks to return this idea of obligation to its origin..

This paper is part of a larger project to determine how to build agent-based cognitive models capable of initial associative intelligence. Our method here is to take McClelland’s 1981 “Jets and Sharks” dataset and rebuild it using a nonlinear dynamic system with an eye toward determining which parameters are necessary to govern the interactivity of agents in a multi-agent cognitive system. A few number of parameters are suggested concerning diffusion and infusion values, which are basically elementary forms of information entropy, and multi-dimensional overlap from properties to objects and then from objects back to the properties that define them. While no agent-based model is presented, the success of the dynamic systems that are presented here suggest strong starting points for further research in building cognitive complex adaptive systems

In this paper, I examine a variety of agents that appear in Kantian ethics in order to determine which would be necessary to make a robot a genuine moral agent. However, building such an agent would require that we structure into a robot’s behavioral repertoire the possibility for immoral behavior, for only then can the moral law, according to Kant, manifest itself as an ought, a prerequisite for being able to hold an agent morally accountable for its actions. Since building a moral robot requires the possibility of immoral behavior, I go on to argue that we cannot morally want robots to be genuine moral agents, but only beings that simulate moral behavior. Finally, I raise but do not answer the question that if morality requires us to want robots that are not genuine moral agents, why should we want something different in the case of human beings

Luciano Floridi’s Philosophy and Computing: An Introduction is a survey of some important ideas that ground the newly emerging area of philosophy known, thanks to Floridi, as the philosophy of information. It was written as a textbook for philosophy students interested in the digital age, but is probably more useful for postgraduates who want to investigate intersections between philosophy and computer science, information theory and ICT (information and communications technology). The book is divided into five independent chapters followed by a worthy, though impressionistic, afterthought under the title of the conclusion. Chapter One, “Divide et Computa: Philosophy and the Digital Environment,” begins by outlining four topics to consider when examining the significance of the digital revolution: 1) computation, 2) automatic control, 3) modeling and virtual reality, and 4) information management. This preliminary outline is followed by a brief historical consideration of the transition from analogue to digital information processing and the importance of “digitization” for developing mechanical means to manage information. According to Floridi, this digitization has occurred in three main areas. Regarding the scope of digitized content, we have moved from numerical data to sounds and images. At the same time, our interfaces to the computer have become less digital and more humane. Graphical user interfaces and WYSIWYG software have quickly replaced punch cards. In the area of connectivity, we have moved from the mainframe to the Internet, hence, to the possibility of a global information network. Together these transformations are accelerating the evolution of the infosphere and consequently its dramatic effect on the shape of society. These changes are of world historical significance, thus worthy of philosophical investigation, as the last part of the chapter shows..

Because the label "computing and philosophy" can seem like an ad hoc attempt to tie computing to philosophy, it is important to explain why it is not, what it studies (or does) and how it differs from research in, say, "computing and history," or "computing and biology". The American Association for History and Computing is "dedicated to the reasonable and productive marriage of history and computer technology for teaching, researching and representing history through scholarship and public history" (http://theaahc.org). More pervasive, work in computing and biology enjoys the convenient name of "bioinformatics...the science of using information to understand biology..., a subset of the larger field of computational biology, the application of quantitative analytical techniques in modeling biological systems" (http://oreilly.com/catalog/bioskills/chapter/ ch01.html). The recent venture of the Association for Computing Machinery and the Institute of Electrical and Electronics Engineers to publish the Transactions on Computational Biology and Bioinformatics (TCBB) bears witness to the reach of computing and biology and underscores its objective. TCBB intends to report "archival research results related to the algorithmic, mathematical, statistical, and computational methods that are central in bioinformatics and computational biology; the development and testing of effective computer programs in bioinformatics; the development and optimization of biological databases; and important biological results that are obtained from the use of these methods, programs, and databases" (http://tcbb.acm.org). In the case of "computing and history" and "bioinformatics," each discipline stands in a particular relationship to computers that raises questions unique to itself. But both are devoted to the development of computational tools to aid discovery..

The Phenomenological Mind, by Shaun Gallagher and Dan Zahavi, is part of a recent initiative to show that phenomenology, classically conceived as the tradition inaugurated by Edmund Husserl and not as mere introspection, contributes something important to cognitive science. (For other examples, see “References” below.) Phenomenology, of course, has been a part of cognitive science for a long time. It implicitly informs the works of Andy Clark (e.g. 1997) and John Haugeland (e.g. 1998), and Hubert Dreyfus explicitly uses it (e.g. 1992). But where the former use phenomenology in the background as broad context and Dreyfus uses it primarily (though not exclusively) as a critique of conventional AI, Gallagher and Zahavi wish to indicate a positive and constructive place for it within cognitive science. They do not recommend that we simply accept pronouncements of thinkers like Husserl, Heidegger, Sartre and Merleau‐Ponty and apply them to questions of cognition, but that we use revised forms of phenomenology to illuminate dimensions of cognitive experience that are missing in current research. The book is presented as an “introduction to philosophy of mind and cognitive science” written from a phenomenological perspective. It seeks to justify the use of phenomenology in cognitive science by showing what kinds of questions it asks and answers, the variety of uses to which it has recently been put and the fruitfulness of some of its findings. The catalog of topics, for the most part, matches other introductions to the philosophy of mind, such as questions of method, consciousness, perception, intentionality, embodiment, action, agency and other minds. One issue presented here that is not generally dealt with in existing philosophy of mind and cognitive science texts is temporality, a mainstay of the continental tradition. After an introductory chapter that places phenomenology in the context of other approaches, the book lays out the main tenets of phenomenological method. Here, one encounters expected components of phenomenology: the epoché (described below), phenomenological reduction, eidetic variation, and so on. This traditional fare is soon followed by some potential surprises, namely, attempts to “naturalize” phenomenology, a few attempts to formalize it, and the emergence of ‘neurophenomenology’. Each of these is a bit surprising because Husserl was a vocal critic of naturalism, seeing transcendental phenomenology as an alternative to the empirical study of consciousness. He was also skeptical about the possibilities of mathematizing phenomenology. Gallagher and Zahavi acknowledge these points, but since they are not repeating history or undertaking exegesis, strict adherence to canonical phenomenology is not required. Naturalizing phenomenology means recognizing that “the phenomena it studies are part of nature and are therefore also open to empirical investigation” (p..