Searle's celebrated Chinese Room Argument has shaken the foundations of Artificial Intelligence. Many refutations have been attempted, but none seem convincing. This paper is an attempt to sort out explicitly the assumptions and the logical, methodological and empirical points of disagreement. Searle is shown to have underestimated some features of computer modeling, but the heart of the issue turns out to be an empirical question about the scope and limits of the purely symbolic (computational) model of the mind. Nonsymbolic modeling (...) turns out to be immune to the Chinese Room Argument. The issues discussed include the Total Turing Test, modularity, neural modeling, robotics, causality and the symbol-grounding problem. (shrink)

Optimal protective responses to long-term risks depend on rational perceptions of ambiguous risks and uncertain time horizons. Our study examined the joint influence of uncertain delay and risk in an original sample of business owners and managers. We found that many subjects disliked uncertainty in the timing of an outcome, a reaction we term ``lottery timing risk aversion.'' Such aversion to uncertain timing was positively related to aversion to ambiguous probabilities for lotteries involving storm damage risks. This association suggests that (...) uncertainty may be processed similarly in both the risk and time dimensions. (shrink)

In this first study of the social context that produced the Apocryphal Acts, Stevan L. Davies con­tends that women wrote the Acts and that the “Acts appear to have been a striving by Christian women for both a mode of self-expression and ...

As an atypical product of mass culture, the acclaimed series Westworld presents us with a layered dystopian narrative formed around several political issues relevant to our contemporary society. It uses a pastiche of the American history, staged as the Wild West­themed amusement park, presented in the form of simulacrum. As a reference with no referent, this park uses a network of historical signifiers to construct a space for the externalisation of fantasies of its clients, consequently commodifying the imaginary itself, and (...) creating surplus value for its owners. Simultaneously, within its reach, conscious androids conduct all of the necessary labour for its unimpeded functioning, although their consciousness and labour are not recognised and accepted. Because they structurally occupy a position of slaves in relation to humans, I will analyse this series as a political allegory on the master­slave dialectics established in the very heart of hyperreality that suggests a possibility of the return of the real, based on the rebellion of the androids. I intend to show how, because of the model of consciousness it maintains, the series is unable to fulfil what it implies. (shrink)

We argue that there is a large class of questions—specifically questions about how to epistemically evaluate environments that currently available epistemic theories are not well-suited for answering, precisely because these questions are not about the epistemic state of particular agents or groups. For example, if we critique Facebook for being conducive to the spread of misinformation, then we are not thereby critiquing Facebook for being irrational, or lacking knowledge, or failing to testify truthfully. Instead, we are saying something about the (...) social media environment. In this paper, we first propose that a new branch of epistemology–Environmental Epistemology–is needed to address these questions. We argue that environments can be proper objects of epistemic evaluation, and that there are genuine epistemic norms that govern environments. We then provide a positive account of these norms and conclude by considering how recognition of these norms may require us to rethink longstanding epistemic debates. (shrink)

The ethical case for Open Access (OA) (free online access) to research findings is especially salient when it is public health that is being compromised by needless access restrictions. But the ethical imperative for OA is far more general: It applies to all scientific and scholarly research findings published in peer-reviewed journals. And peer-to-peer access is far more important than direct public access. Most research is funded so as to be conducted and published, by researchers, in order to be taken (...) up, used, and built upon in further research and applications, again by researchers (pure and applied, including practitioners), for the benefit of the public that funded it – not in order to generate revenue for the peer-reviewed journal publishing industry (nor even because there is a burning public desire to read much of it). Hence OA needs to be mandated, by researchers' institutions and funders, for all research. (shrink)

The evolu on of language made it possible for us to think aloud, share our thoughts, pass them on by word‐of‐mouth.

The Ellsberg Paradox documented the aversion to ambiguity in the probability of winning a prize. Using an original sample of 266 business owners and managers facing risks from climate change, this paper documents the presence of departures from rationality in both directions. Both ambiguity-seeking behavior and ambiguity-averse behavior are evident. People exhibit ‘fear’ effects of ambiguity for small probabilities of suffering a loss and ‘hope’ effects for large probabilities. Estimates of the crossover point from ambiguity aversion (fear) to ambiguity seeking (...) (hope) place this value between 0.3 and 0.7 for the risk per decade lotteries considered, with empirical estimates indicating a crossover mean risk of about 0.5. Attitudes toward the degree of ambiguity also reverse at the crossover point. (shrink)

When certain formal symbol systems (e.g., computer programs) are implemented as dynamic physical symbol systems (e.g., when they are run on a computer) their activity can be interpreted at higher levels (e.g., binary code can be interpreted as LISP, LISP code can be interpreted as English, and English can be interpreted as a meaningful conversation). These higher levels of interpretability are called "virtual" systems. If such a virtual system is interpretable as if it had a mind, is such a "virtual (...) mind" real? This is the question addressed in this "virtual" symposium, originally conducted electronically among four cognitive scientists: Donald Perlis, a computer scientist, argues that according to the computationalist thesis, virtual minds are real and hence Searle's Chinese Room Argument fails, because if Searle memorized and executed a program that could pass the Turing Test in Chinese he would have a second, virtual, Chinese-understanding mind of which he was unaware (as in multiple personality). Stevan Harnad, a psychologist, argues that Searle's Argument is valid, virtual minds are just hermeneutic overinterpretations, and symbols must be grounded in the real world of objects, not just the virtual world of interpretations. Computer scientist Patrick Hayes argues that Searle's Argument fails, but because Searle does not really implement the program: A real implementation must not be homuncular but mindless and mechanical, like a computer. Only then can it give rise to a mind at the virtual level. Philosopher Ned Block suggests that there is no reason a mindful implementation would not be a real one. (shrink)

Some of the papers in this Special Issue distribute cognition between what is going on inside individual cognizers' heads and their outside worlds; others distribute cognition among different individual cognizers. Turing's criterion for cognition was for individual, autonomous input/output capacity. It is not clear that distributed cognition could pass the Turing Test.

Kravchenko suggests replacing Turing's suggestion for explaining cognizers' cognitive capacity through autonomous robotic modelling by 'autopoiesis', Maturana's extremely vague metaphor for the relations and interactions among organisms, environments, and various subordinate and superordinate systems therein. I suggest that this would be an exercise in hermeneutics rather than causal explanation.

There has been much discussion recently about the scope and limits of purely symbolic models of the mind and about the proper role of connectionism in cognitive modeling. This paper describes the symbol grounding problem : How can the semantic interpretation of a formal symbol system be made intrinsic to the system, rather than just parasitic on the meanings in our heads? How can the meanings of the meaningless symbol tokens, manipulated solely on the basis of their shapes, be grounded (...) in anything but other meaningless symbols? The problem is analogous to trying to learn Chinese from a Chinese/Chinese dictionary alone. A candidate solution is sketched: Symbolic representations must be grounded bottom-up in nonsymbolic representations of two kinds: iconic representations, which are analogs of the proximal sensory projections of distal objects and events, and categorical representations, which are learned and innate feature-detectors that pick out the invariant features of object and event categories from their sensory projections. Elementary symbols are the names of these object and event categories, assigned on the basis of their categorical representations. Higher-order symbolic representations, grounded in these elementary symbols, consist of symbol strings describing category membership relations. Connectionism is one natural candidate for the mechanism that learns the invariant features underlying categorical representations, thereby connecting names to the proximal projections of the distal objects they stand for. In this way connectionism can be seen as a complementary component in a hybrid nonsymbolic/symbolic model of the mind, rather than a rival to purely symbolic modeling. Such a hybrid model would not have an autonomous symbolic module, however; the symbolic functions would emerge as an intrinsically dedicated symbol system as a consequence of the bottom-up grounding of categories ' names in their sensory representations. Symbol manipulation would be governed not just by the arbitrary shapes of the symbol tokens, but by the nonarbitrary shapes of the icons and category invariants in which they are grounded. (shrink)

Erken modern Avrupa'nın seçkin bir tarihçisi olarak uzun kariyerine dayanan John Miles Headley, yakın zamanda bakışlarını Avrupa'nın daha geniş dünyadaki etkisine çevirdi. “Dünyanın Avrupalılaşması” adlı kitabında Headley, Avrupa değerlerinin - özellikle insan hakları ve demokrasinin - benzersizliği konusunda ısrarcı bir açıklama yapıyor ve bu değerlerin Avrupa'nın daha geniş dünyaya en değerli armağanları olduğunu savunuyor. Avrupa halklarının dikkate değer entelektüel ve kültürel başarılarını küçültmeye çalışmadan, bu sunum Avrupa ve daha geniş dünya arasındaki ilişkilere daha incelikli bir bakış açısı önerecektir. İnsan hakları (...) ve demokrasi, farklı zamanlarda farklı bağlamlarda farklı insanlar için farklı şeyler ifade eder ve aslında Avrupa dışındaki toplumlarda her ikisinin de sayısız ifadesi vardır. Dahası, Avrupalı insan hakları ve demokrasi teorisyenleri Avrupa'nın ötesindeki toplumlardan da etkilendiler. Bu bağlamda dünyanın Avrupalılaşmasının ikna edici bir fikir olması, ancak Avrupa'nın önceden küreselleşmesi sebebiyle mümkündür. (shrink)

In this paper, we present a method for introducing law students to the writing of legal documents. The method uses a machine-readable representation of the legal knowledge to support document assembly and to help the students to understand how the assembly is performed. The knowledge base consists of enacted legislation, document templates, and assembly instructions. We propose a system called LEDAS (LEgal Document Assembly System) for the interactive assembly of legal documents. It guides users through the assembly process and provides (...) explanations of the interconnection between input data and claims stated in the document. The system acts as a platform for practicing drafting skills and has great potential as an education tool. It allows teachers to configure the system for the assembly of some particular type of legal document and then enables students to draft the documents by investigating which information is relevant for these documents and how the input data shape the final document. The generated legal document is complemented by a graphical representation of legal arguments expressed in the document. The system is based on existing legal standards to facilitate its introduction in the legal domain. Applicability of the system in the education of future lawyers is positively evaluated by the group of law students and their TA. (shrink)

Cognition is thinking; it feels like something to think, and only those who can feel can think. There are also things that thinkers can do. We know neither how thinkers can think nor how they are able to do what they can do. We are waiting for cognitive science to discover how. Cognitive science does this by testing hypotheses about what processes can generate what doing.This is called the Turing Test. It cannot test whether a process can generate feeling, hence (...) thinking — only whether it can generate doing. The processes that generate thinking and know-how are “distributed“ within the heads of thinkers, but not across thinkers' heads. Hence there is no such thing as distributed cognition, only collaborative cognition. Email and the Web have spawned a new form of collaborative cognition that draws upon individual brains' real-time interactive potential in ways that were not possible in oral, written or print interactions. (shrink)

Learning to argue in a computer-mediated and structured fashion is investigated in this research. A study was conducted to compare dyads that were scripted in their computer-mediated collaboration with dyads that were not scripted. A process analysis of the chats of the dyads showed that the scripted experimental group used significantly more words, engaged in significantly more broadening and deepening of the discussion, and appeared to engage in more critical and objective argumentation than the non-scripted control group.

There are many possible approaches to the mind/brain problem. One of the most prominent, and perhaps the most practical, is to ignore it.

In the United States, final amendments to the Federal Policy for the Protection of Human Subjects (“the Common Rule”) were published on January 19, 2017, and they will take effect on January 21, 2019. One of the most widely discussed provisions is that for the first time, federal regulations governing research with humans authorize the use of broad consent for future, unspecified research on individually identifiable biospecimens and associated data. Many questions have been raised about broad consent, including what effect (...) it will have on research and whether it adequately protects the interests of research participants.There are lessons to be learned for the U.S. and other countries by looking to countries that already have experience with broad consent for biobank collection and with the storage and subsequent use of the biospecimens and data. This article describes how broad consent works in five countries—Canada (in Quebec), Israel, Nigeria, Taiwan, and the United Kingdom—and with different types of biobanks: national biobanks, federated biobanks, and regional biobanks. Evaluating the provisions and challenges of the broad consent approaches in these countries can inform policies for this increasingly used approach to biobank regulation. (shrink)

Dalgaard's recent article [3] argues that the part of the Web that constitutes the scientific literature is composed of increasingly linked archives. He describes the move in the online communications of the scientific community towards an expanding zone of secondorder textuality, of an evolving network of texts commenting on, citing, classifying, abstracting, listing and revising other texts. In this respect, archives are becoming a network of texts rather than simply a classified collection of texts. He emphasizes the definition of hypertext (...) as multi-linear text, in contrast to the simple definition of a hypertext as 'a document with links in'. (shrink)

Many strands are woven into the ideas and work of Jeffrey Gray. From a background of classical languages and a spell in military intelligence spent honing skills in languages and typing, he took two BA degrees (in modern languages and psychology) at Oxford University. He then trained as a clinical psychologist at the Institute of Psychiatry (IOP), London, capping this with a PhD on the sources of emotional behaviour.

: Computer-mediated environments provide an arena for learning to argue. We investigate to what extent student dyads’ online argumentation can be facilitated with collaboration scripts that prompt learners to prepare individually, create conflict, and encourage productive collaboration and argumentation. A process analysis of the chats of the dyads showed that the scripted treatment group used significantly more words and broadened and deepened their discussions significantly more than the unscripted group. Qualitative analysis indicates that scripted learners engaged in more critical and (...) objective argumentation than non-scripted learners. (shrink)

In a multi-study naturalistic quasi-experiment involving 269 students in a semester-long introductory philosophy course, we investigated the effect of teaching argument diagramming on students’ scores on argument analysis tasks. An argument diagram is a visual representation of the content and structure of an argument. In each study, all of the students completed pre- and posttests containing argument analysis tasks. During the semester, the treatment group was taught AD, while the control group was not. The results were that among the different (...) pretest achievement levels, the scores of low-achieving students who were taught AD increased significantly more than the scores of low-achieving students who were not taught AD, while the scores of the intermediate- and high-achieving students did not differ significantly between the treatment and control groups. The implication of these studies is that learning AD significantly improves low-achieving students’ ability to analyze arguments. (shrink)

Exploring philosophy through detailed argument analyses of texts by philosophers from Plato to Strawson using a novel and transparent method of analysis. The best way to introduce students to philosophy and philosophical discourse is to have them read and wrestle with original sources. This textbook explores philosophy through detailed argument analyses of texts by philosophers from Plato to Strawson. It presents a novel and transparent method of analysis that will teach students not only how to understand and evaluate philosophers' arguments (...) but also how to construct such arguments themselves. Students will learn to read a text and discover what the philosopher thinks, why the philosopher thinks it, and whether the supporting argument is good. Students learn argument analysis through argument diagrams, with color-coding of the argument's various elements—conclusion, claims, and “indicator phrases.” (An online “mini-course” in argument diagramming and argument diagramming software are both freely available online.) Each chapter ends with exercises and reading questions. After a general introduction to philosophy and logic and an explanation of argument analysis, the book presents selections from primary sources, arranged by topics that correspond to contemporary debates, with detailed analysis and evaluation. These topics include philosophy of religion, epistemology, theory of mind, free will and determinism, and ethics; authors include Aristotle, Aquinas, Descartes, Hume, Kant, Ryle, Fodor, Dennett, Searle, and others. What Is the Argument? not only introduces students to great philosophical thinkers, it also teaches them the essential skill of critical thinking. (shrink)

Some of the papers in this special issue distribute cognition between what is going on inside individual cognizers' heads and their outside worlds; others distribute cognition among different individual cognizers. Turing's criterion for cognition was individual, autonomous input/output capacity. It is not clear that distributed cognition could pass the Turing Test.

The importance of teaching critical thinking skills at the college level cannot be overemphasized. Teaching a subcategory of these skills—argument analysis—we believe is especially important for first-year students with their college careers, as well as their lives, ahead of them. The struggle, however, is how to effectively teach argument analysis skills that will serve students in a broad range of disciplines.

Many undergraduates, philosophy majors included, read philosophical texts similar to the way they read stories. One method for teaching students how to discern the argumentative structure of a philosophy text is through argument diagrams (text boxes used to represent claims with arrows and lines used to represent connections between these claims). This paper provides criteria for an ideal argument diagramming software and then reviews the strengths and weaknesses of such software currently available, e.g. Araucaria, Argutect, Athena Standard, Inspiration, and Reason!Able.

A standard platitude about the function of causal knowledge or theories is that they are valuable because they support prediction, explanation, and control. Knowledge of predator-prey relations enables us to predict future animal populations, as well as design policies or interventions that help influence those populations. If we understand the underlying biochemical mechanisms of some disease, then we can predict who is at risk for it, explain why it produces particular symptoms, and develop interventions to try to reduce its prevalence (...) or the symptom severity. Of course, there are many situations in which one has, for practical reasons, only some of these desiderata; for example, control might be infeasible for technical or ethical reasons. But these remain, for many researchers, the ideal for why causal knowledge is a valuable end of scientific inquiry, including biological inquiry. There are, however, certain types of systems—in particular, chaotic systems—in which it appears that these ends are unattainable, and these systems appear to be widespread in the biological domain, broadly construed. In this paper, we will show why it is natural to think that causal models of chaotic systems cannot satisfy any of the three functions. But we will also show why this natural thought is wrong: we can have usable causal knowledge about even chaotic systems. Moreover, the ways in which we can have such knowledge lead us naturally to rethink a standard understanding of how causal learning and modeling proceed. In particular, just as we often must find the appropriate variables for a causal system, we also must determine the proper level or granularity of description for the dynamics of that system. (shrink)