The Turing Test, originally proposed as a simple operational definition of intelligence, has now been with us for exactly half a century. It is safe to say that no other single article in computer science, and few other articles in science in general, have generated so much discussion. The present article chronicles the comments and controversy surrounding Turing's classic article from its publication to the present. The changing perception of the Turing Test over the last fifty years has paralleled the (...) changing attitudes in the scientific community towards artificial intelligence: from the unbridled optimism of 1960's to the current realization of the immense difficulties that still lie ahead. I conclude with the prediction that the Turing Test will remain important, not only as a landmark in the history of the development of intelligent machines, but also with real relevance to future generations of people living in a world in which the cognitive capacities of machines will be vastly greater than they are now. (shrink)

Implicit Learning and Consciousness challenges conventional wisdom and presents the most up-to-date studies to define, quantify and test the predictions of the main models of implicit learning. The chapters include a variety of research from computer modeling, experimental psychology and neural imaging to the clinical data resulting from work with amnesics. The result is a topical book that provides an overview of the debate on implicit learning, and the various philosophical, psychological and neurological frameworks in which it can be placed. (...) It will be of interest to undergraduates, postgraduates and the philosophical, psychological and modeling research community. (shrink)

Núñez and colleagues (2019) chronicle in extraordinary detail the “demise” of cognitive science, as it was first defined in the late 1970s. The problem is that their account, however accurate, misses the forest for the trees. Cognitive science circa 2019 is alive and well; it just has not followed the path anticipated by its founders over 40 years ago.

No computer that had not experienced the world as we humans had could pass a rigorously administered standard Turing Test. We show that the use of “subcognitive” questions allows the standard Turing Test to indirectly probe the human subcognitive associative concept network built up over a lifetime of experience with the world. Not only can this probing reveal differences in cognitive abilities, but crucially, even differences in _physical aspects_ of the candidates can be detected. Consequently, it is unnecessary to propose (...) even harder versions of the Test in which all physical and behavioral aspects of the two candidates had to be indistinguishable before allowing the machine to pass the Test. Any machine that passed the “simpler” symbols- in/symbols-out test as originally proposed by Turing would be intelligent. The problem is that, even in its original form, the Turing Test is already too hard and too anthropocentric for any machine that was not a physical, social, and behavioral carbon copy of ourselves to actually pass it. Consequently, the Turing Test, even in its standard version, is not a reasonable test for general machine intelligence. There is no need for an even stronger version of the Test. (shrink)

David Marr's (1982) three‐level analysis of computational cognition argues for three distinct levels of cognitive information processing—namely, the computational, representational, and implementational levels. But Marr's levels are—and were meant to be—descriptive, rather than interactive and dynamic. For this reason, we suggest that, had Marr been writing today, he might well have gone even farther in his analysis, including the emergence of structure—in particular, explicit structure at the conceptual level—from lower levels, and the effect of explicit emergent structures on the level (...) (or levels) that gave rise to them. The message is that today's cognitive scientists need not only to understand how emergent structures—in particular, explicit emergent structures at the cognitive level—develop but also to understand how they feed back on the sub‐structures from which they emerged. (shrink)

What new implications does the dynamical hypothesis have for cognitive science? The short answer is: None. The _Behavior and Brain Sciences _target article, “The dynamical hypothesis in cognitive science” by Tim Van Gelder is basically an attack on traditional symbolic AI and differs very little from prior connectionist criticisms of it. For the past ten years, the connectionist community has been well aware of the necessity of using (and understanding) dynamically evolving, recurrent network models of cognition.

High-level perception--”the process of making sense of complex data at an abstract, conceptual level--”is fundamental to human cognition. Through high-level perception, chaotic environmen- tal stimuli are organized into the mental representations that are used throughout cognitive pro- cessing. Much work in traditional artificial intelligence has ignored the process of high-level perception, by starting with hand-coded representations. In this paper, we argue that this dis- missal of perceptual processes leads to distorted models of human cognition. We examine some existing artificial-intelligence models--”notably (...) BACON, a model of scientific discovery, and the Structure-Mapping Engine, a model of analogical thought--”and argue that these are flawed pre- cisely because they downplay the role of high-level perception. Further, we argue that perceptu- al processes cannot be separated from other cognitive processes even in principle, and therefore that traditional artificial-intelligence models cannot be defended by supposing the existence of a --œrepresentation module--� that supplies representations ready-made. Finally, we describe a model of high-level perception and analogical thought in which perceptual processing is integrated with analogical mapping, leading to the flexible build-up of representations appropriate to a given context. (shrink)

Relational priming is argued to be a deeply inadequate model of analogy-making because of its intrinsic inability to do analogies where the base and target domains share no common attributes and the mapped relations are different. Leech et al. rely on carefully handcrafted representations to allow their model to make a complex analogy, seemingly unaware of the debate on this issue fifteen years ago. Finally, they incorrectly assume the existence of fixed, context-independent relations between objects.

This book is an excellent manifesto for future work in child development. It presents a multidisciplinary approach that clearly demonstrates the value of integrating modeling, neuroscience, and behavior to explore the mechanisms underlying development and to show how internal context-dependent representations arise and are modified during development. Its only major flaw is to have given short shrift to the study of the role of genetics on development.

Green's target article is an attack on most current connectionist models of cognition. Our commentary will suggest that there is an essential component missing in his discussion of modeling, namely, the idea that the appropriate level of the model needs to be specified. We will further suggest that the precise form of connectionist networks will fall out as ever more detailed constraints are placed on their function.

The fixed-feature viewpoint Schyns et al. are opposing is not a widely held theoretical position but rather a working assumption of cognitive psychologists – and thus a straw man. We accept their demonstration of new-feature acquisition, but question its ubiquity in category learning. We suggest that new-feature learning (at least in adults) is rarer and more difficult than the authors suggest.

Natura non facit saltum (Nature does not make leaps) was the lovely aphorism on which Darwin based his work on evolution. It applies as much to the formation of mental representations as to the formation of species, and therein lies our major disagreement with the SOC model proposed by Perruchet & Vinter.

Two categorization arguments pose particular problems for localist connectionist models. The internal representations of localist networks do not reflect the variability within categories in the environment, whereas networks with distributed internal representations do reflect this essential feature of categories. We provide a real biological example of perceptual categorization in the monkey that seems to require population coding (i.e., distributed internal representations).

Computational modeling has long been one of the traditional pillars of cognitive science. Unfortunately, the computer models of cognition being developed today have not kept up with the enormous changes that have taken place in computer technology and, especially, in human-computer interfaces. For all intents and purposes, modeling is still done today as it was 25, or even 35, years ago. Everyone still programs in his or her own favorite programming language, source code is rarely made available, accessibility of models (...) to non-programming researchers is essentially non-existent, and even for other modelers, the profusion of source code in a multitude of programming languages, written without programming guidelines, makes it almost impossible to access, check, explore, re-use, or continue to develop. It is high time to change this situation, especially since the tools are now readily available to do so. We propose that the modeling community adopt three simple guidelines that would ensure that computational models would be accessible to the broad range of researchers in cognitive science. We further emphasize the pivotal role that journal editors must play in making computational models accessible to readers of their journals. (shrink)

Zuidema et al. illustrate how empirical AGL studies can benefit from computational models and techniques. Computational models can help clarifying theories, and thus in delineating research questions, but also in facilitating experimental design, stimulus generation, and data analysis. The authors show, with a series of examples, how computational modeling can be integrated with empirical AGL approaches, and how model selection techniques can indicate the most likely model to explain experimental outcomes.

Taking to heart Massaro's [(1988) Some criticisms of connectionist models of human performance, Journal of Memory and Language, 27, 213-234] criticism that multi-layer perceptrons are not appropriate for modeling human cognition because they are too powerful (i.e. they can simulate just about anything, which gives them little explanatory power), Regier develops the notion of constrained connectionism. The model that he discusses is a distributed network but with numerous constraints added that are (more or less) motivated by real psychophysical and neurophysical (...) constraints. His model learns static prepositions of spatial location such as in, above, to the left of, to the right of, under, etc., as well as dynamic prepositions such as through and the Russian iz-pod, meaning out from under. The network learns these prepositions by viewing a number of examples of them. Very importantly, this book tackles-and goes a long way towards resolving-the problem of the lack of negative exemplars (i.e. we are only very rarely told when something is not above something else), which should lead to overgeneralization, but does not. This book is a significant contribution to connectionist literature. (shrink)

While we agree that the frame problem, as initially stated by McCarthy and Hayes (1969), is a problem that arises because of the use of representations, we do not accept the anti-representationalist position that the way around the problem is to eliminate representations. We believe that internal representations of the external world are a necessary, perhaps even a defining feature, of higher cognition. We explore the notion of dynamically created context-dependent representations that emerge from a continual interaction between working memory, (...) external input, and long-term memory. We claim that only this kind of representation, necessary for higher cognitive abilities such as counterfactualization, will allow the combinatorial explosion inherent in the frame problem to be avoided. (shrink)

Are similar, or even identical, mechanisms used in the computational modeling of speech segmentation, serial image processing, and music processing? We address this question by exploring how TRACX2, a recognition‐based, recursive connectionist autoencoder model of chunking and sequence segmentation, which has successfully simulated speech and serial‐image processing, might be applied to elementary melody perception. The model, a three‐layer autoencoder that recognizes “chunks” of short sequences of intervals that have been frequently encountered on input, is trained on the tone intervals of (...) melodically simple French children's songs. It dynamically incorporates the internal representations of these chunks into new input. Its internal representations cluster in a manner that is consistent with “human‐recognizable” melodic categories. TRACX2 is sensitive to both contour and proximity information in the musical chunks that it encounters in its input. It shows the “end‐of‐word” superiority effect demonstrated by Saffran et al. (1999) for short musical phrases. The overall findings suggest that the recursive autoassociative chunking mechanism, as implemented in TRACX2, may be a general segmentation and chunking mechanism, underlying not only word‐ and image‐chunking, but also elementary melody processing. (shrink)

"M. F. Simone Roberts's A Poetics of Being-Two is animated by a lively and engaging voice, drawing readers in with a sense of serious purpose working (delightfully) in tandem with a sense of humor. Roberts's aesthetics and her close readings of Yves Bonnefoy, St-John Perse, and Jorie Graham clearly demonstrate the literary effectiveness of Irigarayan sexual difference as an analytic trope, even as they emphasize the philosophical and political possibilities sexual difference opens up for feminism, environmentalism, and all levels of (...) contemporary cultural critique and activism."—Gail M. Schwab, Hofstra University -/- In An Ethics of Sexual Difference, Irigaray calls for a new poetics in the sense of both art and life. Rather than a critique from within philosophy, A Poetics of Being-Two tests Irigaray's ethics by extending it to other sites of cultural production. Where Irigaray's method finds stirrings and repressions of sexual difference in philosophy, this project explores that tension in poetics. Building from Irigaray's ethics, the book describes a poetics of being-two as concerns gendered subjectivity in literary poetics and then traces the on-going emergence of a poetics of being-two in the post-symbolist poetic tradition. Irigaray scholars will be interested in the sustained interpolation of Irigaray's ethical concepts as principles for a critical aesthetics and in their hermeneutic application in reading a literary tradition. Readers in comparative literature will find the first sustained feminist engagements with the major French poets Bonnefoy and Perse and an elucidation of their influence on the Pulitzer Prize winning poet Jorie Graham. (shrink)

Three‐ to 4‐month‐old infants show asymmetric exclusivity in the acquisition of cat and dog perceptual categories. The cat perceptual category excludes dog exemplars, but the dog perceptual category does not exclude cat exemplars. We describe a connectionist autoencoder model of perceptual categorization that shows the same asymmetries as infants. The model predicts the presence of asymmetric retroactive interference when infants acquire cat and dog categories sequentially. A subsequent experiment conducted with 3‐ to 4‐month‐olds verifies the predicted pattern of looking time (...) behaviors. We argue that bottom‐up, associative learning systems with distributed representations are appropriate for modeling the operation of short‐term visual memory in early perceptual category learning. (shrink)

Starting with the hypothesis that analogical reasoning consists of a search of semantic space, we used eye-tracking to study the time course of information integration in adults in various formats of analogies. The two main questions we asked were whether adults would follow the same search strategies for different types of analogical problems and levels of complexity and how they would adapt their search to the difficulty of the task. We compared these results to predictions from the literature. Machine learning (...) techniques, in particular support vector machines (SVMs), processed the data to find out which sets of transitions best predicted the output of a trial (error or correct) or the type of analogy (simple or complex). Results revealed common search patterns, but with local adaptations to the specifics of each type of problem, both in terms of looking-time durations and the number and types of saccades. In general, participants organized their search around source-domain relations that they generalized to the target domain. However, somewhat surprisingly, over the course of the entire trial, their search included, not only semantically related distractors, but also unrelated distractors, depending on the difficulty of the trial. An SVM analysis revealed which types of transitions are able to discriminate between analogy tasks. We discuss these results in light of existing models of analogical reasoning. (shrink)

SummaryHeterozygous 4.1 hereditary elliptocytosis results from the absence of one haploid set of protein 4.1, a major component of the red cell skeleton. Two successive epidemiological investigations revealed fifteen probands in the French Northern Alps. The frequency of this disease seems to be very high in four small villages isolated in the Aravis mountains. The genealogical study shows that eleven probands share common ancestors who lived eight or ten generations ago in these villages. Thus there was probably a founder (...) effect from one pair of ancestors, strengthened by endogamy. In contrast, four probands originate from another area and are not genealogically related. Recent results in molecular genetics support the present data. (shrink)

Our primary focus is on analysis of the concept of voluntariness, with a secondary focus on the implications of our analysis for the concept and the requirements of voluntary informed consent. We propose that two necessary and jointly sufficient conditions must be satisfied for an action to be voluntary: intentionality, and substantial freedom from controlling influences. We reject authenticity as a necessary condition of voluntary action, and we note that constraining situations may or may not undermine voluntariness, depending on the (...) circumstances and the psychological capacities of agents. We compare and evaluate several accounts of voluntariness and argue that our view, unlike other treatments in bioethics, is not a value-laden theory. We also discuss the empirical assessment of individuals? perceptions of the degrees of noncontrol and self-control. We propose use of a particular Decision Making Control Instrument. Empirical research using this instrument can provide data that will help establish appropriate policies and procedures for obtaining voluntary consent to research. (shrink)

One of our great behavioral scientists, the bestselling author of Behave, plumbs the depths of the science and philosophy of decision-making to mount a devastating case against free will, an argument with profound consequences Robert Sapolsky's Behave, his now classic account of why humans do good and why they do bad, pointed toward an unsettling conclusion: We may not grasp the precise marriage of nature and nurture that creates the physics and chemistry at the base of human behavior, but (...) that doesn't mean it doesn't exist. Now, in Determined, Sapolsky takes his argument all the way, mounting a brilliant (and in his inimitable way, delightful) full-frontal assault on the pleasant fantasy that there is some separate self telling our biology what to do. Determined offers a marvelous synthesis of what we know about how consciousness works-the tight weave between reason and emotion and between stimulus and response in the moment and over a life. One by one, Sapolsky tackles all the major arguments for free will and takes them out, cutting a path through the thickets of chaos and complexity science and quantum physics, as well as touching ground on some of the wilder shores of philosophy. He shows us that the history of medicine is in no small part the history of learning that fewer and fewer things are somebody's "fault"; for example, for centuries we thought seizures were a sign of demonic possession. Yet, as he acknowledges, it's very hard, and at times impossible, to uncouple from our zeal to judge others and to judge ourselves. Sapolsky applies the new understanding of life beyond free will to some of our most essential questions around punishment, morality, and living well together. By the end, Sapolsky argues that while living our daily lives recognizing that we have no free will is going to be monumentally difficult, doing so is not going to result in anarchy, pointlessness, and existential malaise. Instead, it will make for a much more humane world. (shrink)

Disagreement about the nature of ‘addiction’, such as whether it is a brain disease, arises in part because the label is applied to a wide range of phenomena. This creates conceptual and definitional confusions and misunderstandings, often leading to researchers talking past one another. Ontologies have been successfully implemented in other fields to help solve these problems by creating unifying frameworks that can accommodate divergence while clarifying the basis for it. We argue that ontologies can help transform the way we (...) think and communicate about addiction as well, providing a basis for a shared understanding of the domain and a shared means for communicating and achieving that understanding. -/- We introduce the use of ontologies in science and medicine and show how they can unify differing perspectives on addiction. We also show how ontologies provide a practical tool for organizing our collective knowledge in this field, even, and especially, when that knowledge is garnered through distinct disciplinary approaches adopting disparate methodologies or perspectives (e.g., neurobiological, psychological, sociological, etc.). In the end, we believe that ontologies can help to avoid letting questions like “Is addiction a brain disease?” divide the field, hamper communication, or otherwise disrupt the ability to make meaningful progress. (shrink)

ABSTRACTThis article discusses the French debate of the 1580s over the status of the Salic Law and its influence upon an important text in English political thought, Robert Persons’s Conference about the next Succession to the Crowne of Ingland. Polemicists on both sides of the conflict between Henri of Navarre and the Catholic League, from Pierre de Belloy to the pseudonymous ‘Rossaeus’, sought to explain the French royal succession using a concept of custom drawn from Roman law. (...) Custom offered these thinkers a way to explain the Salic Law’s peculiar limitation of the succession to males descended agnatically, but it could also be taken to imply that the people, from whom it originated, were in some way superior to the king. The concept was exploited most effectively by Rossaeus, who translated what had been a legal discourse into a freer language of political naturalism. Rossaeus’s interpretation of custom was adapted and exploited by Robert Persons in the Conference about the next Succession to the Crowne of Ingland. While, then, much of the Conference’s contemporary influence derived from how its argument mapped onto English constitutional geography, it originated as a continuation of League political thought. (shrink)

When we look up a word in a dictionary, we want to know not just its meaning but also its function and the circumstances under which it should be used in preference to words of similar meaning. Standard dictionaries do not address such matters, treating each word in isolation. R. M. W. Dixon puts forward a new approach to lexicography that involves grouping words into 'semantic sets', to describe what can and cannot be said, and providing explanations for this. He (...) provides a critical survey of the evolution of English lexicography from the earliest times, showing how Samuel Johnson's classic treatment has been amended in only minor ways. Written in an easy and accessible style, the book focuses on the rampant plagiarism between lexicographers, on ways of comparing meanings of words, and on the need to link lexicon with grammar. Dixon tells an engrossing story that puts forward a vision for the future. (shrink)

Goofy is one of the most beloved and enduring members of the Disney family. In the course of A Goofy Movie, Goofy passes on to his son, Max, a fishing pole that is “been handed down from Goof to Goof to Goof.” Obviously, this pole is one of Goofy's prized possessions and he takes great pride in gifting it to Max. Unfortunately, in doing so, he violates Kant's categorical imperative, since the handing on of this pole is not something that (...) Goofy could mandate be done by everyone. He would not want Pete handing this rod to his son, PJ, since it is a Goof family heirloom. In considering why ordinary men and women start to wonder about ethical living, the authors used Goofy's example of humble but accident‐prone dedication to examine what constitutes success in moral decision‐making. (shrink)

This chapter discusses the versatile LEGO minifigure to introduce some major themes, questions, and problems tackled in the "philosophy of the human person". It begins with the question of just what parts are involved in making a human person. After that, the chapter considers the problems surrounding any individual's continued existence over time, and also discusses the philosophical view according to which the acts of decision‐making and imaginative creation are the very things. The cheerful yellow LEGO minifig presents a wonderful (...) tool for exploring the human person, who similarly appears unique within the complicated systems of reality. The issue of personal identity is as problematic as it is important for understanding our nature as human individuals in an ever‐changing world. The chapter further provides examples that focus on the problem of personal identity, particularly identity over time. (shrink)

If there's one element that glues together the various games connected to the BioShock series, it's a willingness to challenge players to think. Traditionally, philosophers have chosen one of two general candidates to serve as the criterion of personal identity, the feature or characteristic that makes a person who they are and not someone else. These two criteria are (1) our physical bodies and (2) our conscious experiences as a “psychological continuity.” SHODAN was the protagonist in the original System Shock (...) game, but aboard the Von Braun she must reluctantly rely on the player to stop the spread of the many and so serves as a support role for most of the game's engrossing narrative. The character of SHODAN doesn't depend on what computer she is accessed through, and neither is personal identity tied to what material body a person inhabits. (shrink)

During the android Ash's confession in Alien, peope learn a lot about the creature that has been stalking the crew of the Nostromo. Rather than give the human survivors some hope about their chances of overcoming the Xenomorph, Ash waxes poetic about the alien's nature, describing it as the “perfect organism”. The nature of the Xenomorph illustrates some of the core principles of Nietzschean philosophy. This chapter focuses on the idea of the Übermensch and how the aliens from this beloved (...) franchise so perfectly realize, in fiction, the kind of existence Nietzsche hoped to make a reality. It draws on not just the four films of the Alien quadrilogy, but also the franchise's expanded universe of comics, novels, video games, and other product tie‐ins. In order to introduce his cinematic terror in Alien, director Ridley Scott had to transport viewers to a harsh, distant world where strange vessels house even stranger mysteries. (shrink)

This chapter contains sections titled: College Sex Today Meaning and Sexuality Meaning and Morality Respect and Higher Value Making Love Meaningfully.

The Jungian concept of archetypes is of immense value for critically distinguishing what is potentially of universal practical value in religious and other cultural traditions, and separating this from the dogmatic elements. However, Jung encumbered the concept of archetypes with debatable constructions like the 'collective unconscious' that are unnecessary for understanding their practical function. This book puts forward a far-reaching new theory of archetypes that is functional without being reductive. At the centre of this is the idea that archetypes are (...) adaptations to help us maintain inspiration over time. Humans are such distractable beings that they need constant reminders to maintain integration with their most sustainable intentions: reminders using the profound power of symbol linked to embodied experience. This multi-disciplinary book weaves together religious studies, ethical philosophy, the psychology of bias, the neuroscience of brain lateralisation, the linguistics of embodied meaning, the feedback loops of systems theory, with a lifetime's experience of Buddhist practice and appreciation of symbolism in the arts: all with the aim of producing a fresh understanding of the role of archetypes in religion and beyond, that can also be directly applied in practice. (shrink)