I address the commentators' calls for clarification of theoretical terms, discussion of similarities to other proposals, and extension of the ideas. In doing so, I keep the focus on the purpose of memory: enabling the organism to make sense of its environment so that it can take action appropriate to constraints resulting from the physical, personal, social, and cultural situations.

Language comprehension requires a simulation that uses neural systems involved in perception, action, and emotion. A review of recent literature as well as new experiments support five predictions derived from this framework. 1. Being in an emotional state congruent with sentence content facilitates sentence comprehension. 2. Because women are more reactive to sad events and men are more reactive to angry events, women understand sentences about sad events with greater facility than men, and men understand sentences about angry events with (...) greater facility than women. 3. Because it takes time to shift from one emotion to another, reading a sad sentence slows the reading of a happy sentence more for women than men, whereas reading an angry sentence slows the reading of a happy sentence more for men than for women. 4. Because sad states motivate affiliative actions and angry states motivate aggressive action, gender and emotional content of sentences interact with the response mode. 5. Because emotion simulation requires particular action systems, adapting those action systems will affect comprehension of sentences with emotional content congruent with the adapted action system. These results have implications for the study of language, emotion, and gender differences. (shrink)

A strong case can be made that the cognitive system is designed for guiding action, not, for example, symbol manipulation. I review empirical work demonstrating the link between action and cognition with special attention to the processes of language comprehension. Next, I sketch an embodied cognition framework for integrating work on language understanding with a more general approach to cognition and action. This general approach considers contributions to action of bodily states, emotions, social and cultural processes, and learning within a (...) framework that generates a dynamic system. This framework is used to consider the notion of distributed cognition and the prospects that technology might induce substantial changes in cognition. My assessment is that such changes are unlikely. (shrink)

Standard models of cognition are built from abstract, amodal, arbitrary symbols, and the meanings of those symbols are given solely by their interrelations. The target article (Glenberg 1997t) argues that these models must be inadequate because meaning cannot arise from relations among abstract symbols. For cognitive representations to be meaningful they must, at the least, be grounded; but abstract symbols are difficult, if not impossible, to ground. As an alternative, the target article developed a framework in which representations are (...) grounded in perception and action, and hence are embodied. Recent work (Glenberg & Robertson 1999; 2000; Glenberg & Kaschak 2002; Kaschak & Glenberg 2000) extends this framework to language. (shrink)

An embodied movement-planning field cannot account for behavior and cognition more abstract than that of reaching. Instead, we propose an affordance field, and we sketch how it could enhance the analysis of the A-not-B error, underlie cognition, and serve as a base for language. Admittedly, a dynamic systems account of an affordance field awaits significant further development.

Ballard et al. claim that fixations bind variables to cognitive pointers. I comment on three aspects of this claim: (1) its contribution to the interpretation of indexical language; (2) empirical support for the use of very few deictic pointers; (3) nonetheless, abstract pointers cannot be taken as prototypical cognitive representations.

Barsalou proposes (sect. 4.1.6) that perceptual symbols play a role in language processing. Data from our laboratory document this role and suggest the sorts of constraints used by simulators during language comprehension.

Cognitive scientists have a variety of approaches to studying cognition: experimental psychology, computer science, robotics, neuroscience, educational psychology, philosophy of mind, and psycholinguistics, to name but a few. In addition, they also differ in their approaches to cognition - some of them consider that the mind works basically like a computer, involving programs composed of abstract, amodal, and arbitrary symbols. Others claim that cognition is embodied - that is, symbols must be grounded on perceptual, motoric, and emotional experience. The existence (...) of such different approaches has consequences when dealing with practical issues such as understanding brain disorders, designing artificial intelligence programs and robots, improving psychotherapy, or designing instructional programs. The symbolist and embodiment camps seldom engage in any kind of debate to clarify their differences. This book is the first attempt to do so. It brings together a team of outstanding scientists, adopting symbolist and embodied viewpoints, in an attempt to understand how the mind works and the nature of linguistic meaning. As well as being interdisciplinary, all authors have made an attempt to find solutions to substantial issues beyond specific vocabularies and techniques. (shrink)

We propose that grounded procedures may help explain psychological variations across cultures. Here we offer a set of novel predictions based on the interplay between the social and physical ecology, chronic sensorimotor experience, and cultural norms.

Niedenthal et al. recognize that cultural differences are important when interpreting facial expressions. Nonetheless, many of their core observations derive more from individualistic cultures than from collectivist cultures. We discuss two examples from the latter: (1) lower rates of mutual eye contact, and (2) the ubiquity of specific These examples suggest constraints on the assumptions and applicability of the SIMS model.

Glenberg's conception of “meaning from and for action” is too narrow. For example, it provides no satisfactory account of the “logic of Elfland,” a metaphor used by Chesterton to refer to meaning acquired by being told something. All that we call spirit and art and ecstasy only means that for one awful instant we remember that we forget. G. K. Chesterton.

Twentieth-century developments in quantum physics, together with an emerging science of consciousness, have created the need for a new cosmology, or model of the universe. The theory of process contained in THE REFLEXIVE UNIVERSE places consciousness within the context of contemporary science. One of the central themes of this extraordinary work is that each successive organization of matter, from fundamental particles in physics to living organisms, expresses a particular stage in the evolution of mind. Starting with the photon, the basic (...) unit of light, and moving through atomic physics, molecular chemistry, the morphology of plants and animals and finally to levels of human evolution, Young develops his theory in vivid step-by-step detail. Consciousness, in his point of view, is not isolated from the material universe. It exists in a continuum, one in which physical and nonphysical realms can be linked and the teachings of mythology and religion can be integrated. To order: FAX: 415-883-9280; e-mail: [email protected]; or write: Anodos Foundation, c/o Publishers Services, P.O. Box 2510, Novato, CA 94948. Visa and MasterCard only. Trade STOP orders 40% plus postage. (shrink)

ABSTRACTIn this article we investigate structural differences between “literary” metaphors created by renowned poets and “nonliterary” ones imagined by non-professional authors from Katz et al.’s 1988 corpus. We provide data from quantitative narrative analyses of the altogether 464 metaphors on over 70 variables, including surface features like metaphor length, phonological features like sonority score, or syntactic-semantic features like sentence similarity. In a first computational study using machine learning tools we show that Katz et al.’s literary metaphors can be successfully discriminated (...) from their nonliterary ones on the basis of response measures, in particular the ratings for familiarity, ease of interpretation, semantic relatedness, and comprehensibility. A second computational study then shows that the classifier can reliably detect and predict between-group differences on the basis of five QNA features generalizing from a... (shrink)

Two main goals of the emerging field of neurocognitive poetics are the use of more natural and ecologically valid stimuli, tasks and contexts and providing methods and models allowing to quantify distinctive features of verbal materials used in such tasks and contexts and their effects on readers responses. A natural key element of poetic language, metaphor, still is understudied insofar as relatively little empirical research looked at literary or poetic metaphors. An exception is Katz et al.’s corpus of 204 literary (...) metaphors by authors such as Shakespeare or Dylan Thomas, for which various rating data are available. We reanalyzed their corpus using a combination of quantitative narrative analysis, latent semantic analysis, and machine learning in order to identify relevant features of the metaphors that influenced the ratings. The combined application of computational tools sheds light on surface and affective-semantic features that co-determine the reception of poetic metaphors and successfully predicted the period of origin, authorship and goodness ratings of the metaphors. The present results can be used for generating quantitative hypotheses or selecting and matching verbal stimuli in empirical studies of literature and neurocognitive poetics. (shrink)

Philosophy Between the Lines is the first comprehensive, book-length study of the history and theoretical basis of philosophical esotericism, and it provides a crucial guide to how many major writings—philosophical, but also theological, ...

Increasing the “truth per dollar” of money spent on science is one legitimate long-run goal of the economics of science. But before this goal can be achieved, we need to increase our knowledge of the successes and failures of past and current reward structures of science. This essay reviews what economists have learned about the behavior of scientists and the reward structure of science. One important use of such knowledge will be to help policy-makers create a reward structure that is (...) more efficient in the future. (shrink)

Modern socio?cultural studies of medicine demonstrate the symbolic character of much of medical reality. This symbolic reality can be appreciated as mediating the traditional division of medicine into biophysical and human sciences. Comparative studies of medical systems offer a general model for medicine as a human science. These studies document that medicine, from an historical and cross?cultural perspective, is constituted as a cultural system in which symbolic meanings take an active part in disease formation, the classification and cognitive management of (...) illness, and in therapy. Medicine's symbolic reality also forms a bridge between cultural and psychophysiological phenomena; the basis for psychosomatic and socioso?matic pathology and therapy. This in turn becomes a central problem for medical theory and for a philosophical reinvestigation of medicine. (shrink)

The true key to all the perplexities of the human condition, Rousseau boldly claims, is the “natural goodness of man.” It is also the key to his own notoriously contradictory writings, which, he insists, are actually the disassembled parts of a rigorous philosophical system rooted in that fundamental principle. What if this problematic claim—so often repeated, but as often dismissed—were resolutely followed and explored? Arthur M. Melzer adopts this approach in The Natural Goodness of Man. The first two parts (...) of the book restore the original, revolutionary significance of this now time-worn principle and examine the arguments Rousseau offers in proof of it. The final section unfolds and explains Rousseau’s programmatic thought, especially the Social Contract, as a precise solution to the human problem as redefined by the principle of natural goodness. The result is a systematic reconstruction of Rousseau’s philosophy that discloses with unparalleled clarity both the complex weave of his argument and the majestic unity of his vision. Melzer persuasively resolves one after another of the famous Rousseauian paradoxes–enlarging, in the process, our understanding of modern philosophy and politics. Engagingly and lucidly written, The Natural Goodness of Man will be of interest to general as well as scholarly readers. (shrink)

If the words of natural human language possess a universal positivity bias, as assumed by Boucher and Osgood’s (1969) famous Pollyanna hypothesis and computationally confirmed for large text corpora in several languages (Dodds et al., 2015), then children and youth literature (CYL) should also show a Pollyanna effect. Here we tested this prediction applying a vector space model- based sentiment analysis tool called SentiArt (Jacobs, 2019) to two CYL corpora, one in English (372 books) and one in German (500 books). (...) Pitching our analysis at the sentence level, and assessing semantic as well as lexico-grammatical information, bBoth corpora show the Pollyanna effect and thus add further evidence to the universality hypothesis. The results of our multivariate sentiment analyses provide interesting testable predictions for future scientific studies of literature. (shrink)

It is argued that current neuroimaging studies can provide useful constraints for the construction of models of cognition, and that these studies should be guided by cognitive models. A numberof challenges for a successful cross-fertilization between “mind mappers” and cognitive modelers are discussed in the light of current research on word recognition.

We now know the structures of over 200 proteins to atomic resolution. Despite the impressive extent and quality of the results, crystal‐structure analysis has often been thought of as limited in scope, not only in its restriction to samples that can be crystallized, but in the more important respect that taking ‘snapshots’ of proteins does not directly address the complex spatio‐temporal organization of the processes in which proteins participate. It is suggested here that, as the field has matured, this second (...) limitation is gradually being overcome. As we gain increased access to structures of proteins in different conformational states – for example, in conformations produced by different states of ligation – and to families of homologous proteins, we can proceed from the statics of protein structure to the dynamics of conformational change, function, and evolution.A new scientific speciality has grown up around the solved structures: it has as its goal the elucidation of general principles of protein structure and function, to provide a theoretical framework for understanding the properties of proteins revealed by experiment. In this article we shall discuss some of the activity in this field. It will emerge clearly, I believe, that the increasing number and variety of solved structures is exerting a cumulative force. General principles are emerging from comparisons of related proteins and contrasts of dissimilar ones: the whole corpus of data is greater than the sum of the parts. (shrink)

Abstract:As new digital technologies, consumer demand, and social issues such as COVID-19 render workplaces increasingly data-centric, employers will require culturally and technologically adept workers who can utilize creativity in every stage of the production process. To prepare students for this demand, institutions of higher education must establish flexible programs that provide professional or technical curricula combined with a liberal arts education that fosters students’ abilities to build imaginations beyond conventionally accepted norms. The capacity for creative fantasy intersects with cognitive maturity (...) and higher-order thinking and thus can be measured using models of adult development. Schools should develop knowledge platforms that can first assess a student’s maturity stage and then design a personalized liberal and professional education plan that maximizes their creative abilities. This article therefore engages adult development theory to map possible trajectories toward students’ constructive use of innovative fantasy and to address ways educational institutions can reorient their approaches. (shrink)

In his review, Walter (2012) links conceptual perspectives on empathy with crucial results of neurocognitive and genetic studies and presents a descriptive neurocognitive model that identifies neuronal key structures and links them with both cognitive and affective empathy via a high and a low road. After discussion of this model, the remainder of this comment deals more generally with the possibilities and limitations of current neurocognitive models, considering ways to develop process models allowing specific quantitative predictions.