Symbols enable people to organize and communicate about the world. However, the ways in which symbolic knowledge is learned and then represented in the mind are poorly understood. We present a formal analysis of symbolic learning—in particular, word learning—in terms of prediction and cue competition, and we consider two possible ways in which symbols might be learned: by learning to predict a label from the features of objects and events in the world, and by learning to predict features from a (...) label. This analysis predicts significant differences in symbolic learning depending on the sequencing of objects and labels. We report a computational simulation and two human experiments that confirm these differences, revealing the existence of Feature-Label-Ordering effects in learning. Discrimination learning is facilitated when objects predict labels, but not when labels predict objects. Our results and analysis suggest that the semantic categories people use to understand and communicate about the world can only be learned if labels are predicted from objects. We discuss the implications of this for our understanding of the nature of language and symbolic thought, and in particular, for theories of reference. (shrink)

As adults age, their performance on many psychometric tests changes systematically, a finding that is widely taken to reveal that cognitive information-processing capacities decline across adulthood. Contrary to this, we suggest that older adults'; changing performance reflects memory search demands, which escalate as experience grows. A series of simulations show how the performance patterns observed across adulthood emerge naturally in learning models as they acquire knowledge. The simulations correctly identify greater variation in the cognitive performance of older adults, and successfully (...) predict that older adults will show greater sensitivity to fine-grained differences in the properties of test stimuli than younger adults. Our results indicate that older adults'; performance on cognitive tests reflects the predictable consequences of learning on information-processing, and not cognitive decline. We consider the implications of this for our scientific and cultural understanding of aging. (shrink)

In a series of studies children show increasing mastery of irregular plural forms (such as mice) simply by producing erroneous over‐regularized versions of them (such as mouses). We explain this phenomenon in terms of successive approximation in imitation: Children over‐regularize early in acquisition because the representations of frequent, regular plural forms develop more quickly, such that at the earliest stages of production they interfere with children's attempts to imitatively reproduce irregular forms they have heard in the input. As the strength (...) of the representations that determine children's productions settle asymptotically, the early advantage for the frequent regular forms is negated, and children's attempts to imitate the irregular forms they have observed become more likely to succeed (a process that produces the classic U‐shape in children's acquisition of plural inflection). These data show that children can acquire correct linguistic behavior without feedback in a situation where, as a result of philosophical and linguistic analyses, it has often been argued that it is logically impossible for them to do so. (shrink)

Empirical studies indicate that analogy consists of two main processes: retrieval and mapping. While current theories and models of analogy have revealed much about the mainly structural constraints that govern the mapping process, the similarities that underpin the correspondences between individual representational elements and drive retrieval are understood in less detail. In existing models symbol similarities are externally defined but neither empirically grounded nor theoretically justified. This paper introduces a new model (EMMA: the environmental model of analogy) which relies on (...) co‐occurrence information provided by LSA (Latent Semantic Analysis; Landauer & Dumais, 1997) to ground the relations between the symbolic elements aligned in analogy. LSA calculates a contextual distribution for each word encountered in a corpus by counting the frequency with which it co‐occurs with other words. This information is used to define a model that locates each word encountered in a high‐dimensional space, with relations between elements in this space representing contextual similarities between words. A series of simulation experiments demonstrate that the environmental approach to semantics embodied in LSA can produce appropriate patterns of analogical retrieval, but that this semantic measure is not sufficient to model analogical mapping. The implications of these findings, both for theories of representation in analogy research and more general theories of semantics in cognition, are explored. (shrink)

How are natural symbol systems best understood? Traditional “symbolic” approaches seek to understand cognition by analogy to highly structured, prescriptive computer programs. Here, we describe some problems the traditional computational metaphor inevitably leads to, and a very different approach to computation (Ramscar, Yarlett, Dye, Denny, & Thorpe, 2010; Turing, 1950) that allows these problems to be avoided. The way we conceive of natural symbol systems depends to a large degree on the computational metaphors we use to understand them, and (...) machine learning suggests an understanding of symbolic thought that is very different to traditional views (Hummel, 2010). The empirical question then is: Which metaphor is best? (shrink)

How do we understand time and other entities we can neither touch nor see? One possibility is that we tap into our concrete, experiential knowledge, including our understanding of physical space and motion, to make sense of abstract domains such as time. To examine how pervasive an aspect of cognition this is, we investigated whether thought about a nonliteral type of motion called fictive motion (FM; as in The road runs along the coast) can influence thought about time. Our results (...) suggest that FM uses the same structures evoked in understanding literal motion, and that these literal aspects of FM influence temporal reasoning. (shrink)

Ramscar, Yarlett, Dye, Denny, and Thorpe (2010) showed how, consistent with the predictions of error‐driven learning models, the order in which stimuli are presented in training can affect category learning. Specifically, learners exposed to artificial language input where objects preceded their labels learned the discriminating features of categories better than learners exposed to input where labels preceded objects. We sought to replicate this finding in two online experiments employing the same tests used originally: A four pictures test (match a (...) label to one of four pictures) and a four labels test (match a picture to one of four labels). In our study, only findings from the four pictures test were consistent with the original result. Additionally, the effect sizes observed were smaller, and participants over‐generalized high‐frequency category labels more than in the original study. We suggest that although Ramscar, Yarlett, Dye, Denny, and Thorpe (2010) feature‐label order predictions were derived from error‐driven learning, they failed to consider that this mechanism also predicts that performance in any training paradigm must inevitably be influenced by participant prior experience. We consider our findings in light of these factors, and discuss implications for the generalizability and replication of training studies. (shrink)

The uncertainty associated with paradigmatic families has been shown to correlate with their phonetic characteristics in speech, suggesting that representations of complex sublexical relations between words are part of speaker knowledge. To better understand this, recent studies have used two-layer neural network models to examine the way paradigmatic uncertainty emerges in learning. However, to date this work has largely ignored the way choices about the representation of inflectional and grammatical functions (IFS) in models strongly influence what they subsequently learn. To (...) explore the consequences of this, we investigate how representations of IFS in the input-output structures of learning models affect the capacity of uncertainty estimates derived from them to account for phonetic variability in speech. Specifically, we examine whether IFS are best represented as outputs to neural networks (as in previous studies) or as inputs by building models that embody both choices and examining their capacity to account for uncertainty effects in the formant trajectories of word final [ɐ], which in German discriminates around sixty different IFS. Overall, we find that formants are enhanced as the uncertainty associated with IFS decreases. This result dovetails with a growing number of studies of morphological and inflectional families that have shown that enhancement is associated with lower uncertainty in context. Importantly, we also find that in models where IFS serve as inputs—as our theoretical analysis suggests they ought to—its uncertainty measures provide better fits to the empirical variance observed in [ɐ] formants than models where IFS serve as outputs. This supports our suggestion that IFS serve as cognitive cues during speech production, and should be treated as such in modeling. It is also consistent with the idea that when IFS serve as inputs to a learning network. This maintains the distinction between those parts of the network that represent message and those that represent signal. We conclude by describing how maintaining a “signal-message-uncertainty distinction” can allow us to reconcile a range of apparently contradictory findings about the relationship between articulation and uncertainty in context. (shrink)

Children with developmental language disorder (DLD) have significant deficits in language ability that cannot be attributed to neurological damage, hearing impairment, or intellectual disability. The symptoms displayed by children with DLD differ across languages. In English, DLD is often marked by severe difficulties acquiring verb inflection. Such difficulties are less apparent in languages with rich verb morphology like Spanish and Italian. Here we show how these differential profiles can be understood in terms of an interaction between properties of the input (...) language, and the child's ability to learn predictive relations between linguistic elements that are separated within a sentence. We apply a simple associative learning model to sequential English and Spanish stimuli and show how the model's ability to associate cues occurring earlier in time with later outcomes affects the acquisition of verb inflection in English more than in Spanish. We relate this to the high frequency of the English bare form (which acts as a default) and the English process of question formation, which means that (unlike in Spanish) bare forms frequently occur in third‐person singular contexts. Finally, we hypothesize that the pro‐drop nature of Spanish makes it easier to associate person and number cues with the verb inflection than in English. Since the factors that conspire to make English verb inflection particularly challenging for learners with weak sequential learning abilities are much reduced or absent in Spanish, this provides an explanation for why learning Spanish verb inflection is relatively unaffected in children with DLD. (shrink)

There is an old joke about a theoretical physicist who was charged with figuring out how to increase the milk production of cows. Although many farmers, biologists, and psychologists had tried and failed to solve the problem before him, the physicist had no trouble coming up with a solution on the spot. “ First,” he began, “we assume a spherical cow... ” [Tenenbaum & Griffiths].

Concepts allow us to treat different objects equivalently according to shared attributes, and hence to communicate about, draw inferences from, reason with, and explain these objects. Understanding how concepts are formed and used is thus essential to understanding and applying these basic processes, and the topic of similarity-based classification is central to psychology, artificial intelligence, statistics, and philosophy. This book brings together leading researchers, reflecting the key topics and important developments in the field and provides a uniquely interdisciplinary overview of (...) the subject. (shrink)

Sequence learning is fundamental to a wide range of cognitive functions. Explaining how sequences—and the relations between the elements they comprise—are learned is a fundamental challenge to cognitive science. However, although hundreds of articles addressing this question are published each year, the actual learning mechanisms involved in the learning of sequences are rarely investigated. We present three experiments that seek to examine these mechanisms during a typing task. Experiments 1 and 2 tested learning during typing single letters on each trial. (...) Experiment 3 tested for “chunking” of these letters into “words.” The results of these experiments were used to examine the mechanisms that could best account for them, with a focus on two particular proposals: statistical transitional probability learning and discriminative error-driven learning. Experiments 1 and 2 showed that error-driven learning was a better predictor of response latencies than either n-gram frequencies or transitional probabilities. No evidence for chunking was found in Experiment 3, probably due to interspersing visual cues with the motor response. In addition, learning occurred across a greater distance in Experiment 1 than Experiment 2, suggesting that the greater predictability that comes with increased structure leads to greater learnability. These results shed new light on the mechanism responsible for sequence learning. Despite the widely held assumption that transitional probability learning is essential to this process, the present results suggest instead that the sequences are learned through a process of discriminative learning, involving prediction and feedback from prediction error. (shrink)

Linguistic category learning has been shown to be highly sensitive to linear order, and depending on the task, differentially sensitive to the information provided by preceding category markers (premarkers, e.g., gendered articles) or succeeding category markers (postmarkers, e.g., gendered suffixes). Given that numerous systems for marking grammatical categories exist in natural languages, it follows that a better understanding of these findings can shed light on the factors underlying this diversity. In two discriminative learning simulations and an artificial language learning experiment, (...) we identify two factors that modulate linear order effects in linguistic category learning: category structure and the level of abstraction in a category hierarchy. Regarding category structure, we find that postmarking brings an advantage for learning category diagnostic stimulus dimensions, an effect not present when categories are non‐confusable. Regarding levels of abstraction, we find that premarking of super‐ordinate categories (e.g., noun class) facilitates learning of subordinate categories (e.g., nouns). We present detailed simulations using a plausible candidate mechanism for the observed effects, along with a comprehensive analysis of linear order effects within an expectation‐based account of learning. Our findings indicate that linguistic category learning is differentially guided by pre‐ and postmarking, and that the influence of each is modulated by the specific characteristics of a given category system. (shrink)

It is a reasonable assumption that universal properties of natural languages are not accidental. They occur either because they are underwritten by genetic code, because they assist in language processing or language learning, or due to some combination of the two. In this paper we investigate one such language universal: the suffixing preference across the world’s languages, whereby inflections tend to be added to the end of words. A corpus analysis of child‐directed speech in English found that suffixes were more (...) accurate at cuing the grammatical category of the root word than were prefixes. An artificial language experiment found that there was a learning advantage for suffixes over prefixes in terms of grammatical categorization within an artificial language. The results are consistent with an account of language universals that originate in general purpose learning mechanisms. (shrink)

Linguistic category learning has been shown to be highly sensitive to linear order, and depending on the task, differentially sensitive to the information provided by preceding category markers (premarkers, e.g., gendered articles) or succeeding category markers (postmarkers, e.g., gendered suffixes). Given that numerous systems for marking grammatical categories exist in natural languages, it follows that a better understanding of these findings can shed light on the factors underlying this diversity. In two discriminative learning simulations and an artificial language learning experiment, (...) we identify two factors that modulate linear order effects in linguistic category learning: category structure and the level of abstraction in a category hierarchy. Regarding category structure, we find that postmarking brings an advantage for learning category diagnostic stimulus dimensions, an effect not present when categories are non‐confusable. Regarding levels of abstraction, we find that premarking of super‐ordinate categories (e.g., noun class) facilitates learning of subordinate categories (e.g., nouns). We present detailed simulations using a plausible candidate mechanism for the observed effects, along with a comprehensive analysis of linear order effects within an expectation‐based account of learning. Our findings indicate that linguistic category learning is differentially guided by pre‐ and postmarking, and that the influence of each is modulated by the specific characteristics of a given category system. (shrink)

Many metaphor theorists argue that our mental experience of time is grounded in our understanding of space, including motion through space. Results from recent experiments – in which people think about motion, which in turn influences their thinking about time – support this position. Still, many questions remain about the nature of the metaphorical connection between time and space. Can the mere suggestion of motion influence how people reason about time, and if so, when and how? Three experiments investigated how (...) thinking about “abstract” motion through sequences of numbers or letters would influence reasoning about time. Our results extend earlier psychological work on the link between time and space by showing that even motion in non-physical domains can influence temporal reasoning. The results provide further evidence that metaphorical understanding is grounded in our everyday physical and conceptual experience. (shrink)

A central goal of typological research is to characterize linguistic features in terms of both their functional role and their fit to social and cognitive systems. One long-standing puzzle concerns why certain languages employ grammatical gender. In an information theoretic analysis of German noun classification, Dye, Milin, Futrell, and Ramscar enumerated a number of important processing advantages gender confers. Yet this raises a further puzzle: If gender systems are so beneficial to processing, what does this mean for languages that (...) make do without them? Here, we compare the communicative function of gender marking in German to that of prenominal adjectives in English, finding that despite their differences, both systems act to efficiently smooth information over discourse, making nouns more equally predictable in context. We examine why evolutionary pressures may favor one system over another and discuss the implications for compositional accounts of meaning and Gricean principles of communication. (shrink)

Frequency effects are pervasive in studies of language, with higher frequency words being recognized faster than lower frequency words. However, the exact nature of frequency effects has recently been questioned, with some studies finding that contextual information provides a better fit to lexical decision and naming data than word frequency ( Adelman et al., 2006 ). Recent work has cemented the importance of these results by demonstrating that a measure of the semantic diversity of the contexts that a word occurs (...) in provides a powerful measure to account for variability in word recognition latency ( Johns et al., 2012, 2015 ; Jones et al., 2012 ). The goal of the current study is to extend this measure to examine bilingualism and aging, where multiple theories use frequency of occurrence of linguistic constructs as central to accounting for empirical results ( Gollan et al., 2008 ; Ramscar et al., 2014 ). A lexical decision experiment was conducted with four groups of subjects: younger and older monolinguals and bilinguals. Consistent with past results, a semantic diversity variable accounted for the greatest amount of variance in the latency data. In addition, the pattern of fits of semantic diversity across multiple corpora suggests that bilinguals and older adults are more sensitive to semantic diversity information than younger monolinguals. (shrink)

In a rich and thought-provoking paper, Lambros Malafouris argues that taking material culture seriously means to be ‘systematically concerned with figuring out the causal efficacy of materiality in the enactment and constitution of a cognitive system or operation’ (Malafouris 2004, 55). As I understand this view, there are really two intertwined claims to be established. The first is that the things beyond the skin that make up material culture (in other words, the physical objects and artefacts in which cultural networks (...) and systems of human social relations are realized) may be essential to the enactment of, and be partly constitutive of, certain cognitive systems or operations. The consequence of establishing this claim is supposed to be that we have a mandate to recast the boundaries of the mind so as to include, as proper parts of the mind, things located beyond the skin. Thus, in talking about the contribution of the world to cognition, Malafouris (2004, 58) concludes that ‘what we have traditionally construed as an active or passive but always clearly separated external stimulus for setting a cognitive mechanism into motion, may be after all a continuous part of the machinery itself; at least ex hypothesi’. This is the position that, in philosophical circles, is known increasingly as the extended mind hypothesis (Clark & Chalmers 1998; Menary forthcoming). Henceforth I shall refer to this hypothesis as EM. A stock example will help bring the idea into view. Rumelhart et al. (1986) note that most of us solve difficult multiplication problems by using ‘pen and paper’ as an external resource. This environmental prop enables us to transform a difficult cognitive problem into a set of simpler ones, and to temporarily store the results of certain intermediate calculations. For the fan of EM, the distributed combination of this external resource and certain inner psychological processes constitutes a cognitive system in its own right. (shrink)

Maxwell's deduction of the probability distribution over the velocity of gas molecules—one of the most important passages in physics (Truesdell)—presents a riddle: a physical discovery of the first importance was made in a single inferential leap without any apparent recourse to empirical evidence. -/- Tychomancy proposes that Maxwell's derivation was not made a priori; rather, he inferred his distribution from non-probabilistic facts about the dynamics of intermolecular collisions. Further, the inference is of the same sort as everyday reasoning about the (...) physical probabilities attached to such canonical chance setups as tossed coins or rolled dice. The structure of this reasoning is investigated and some simple rules for inferring physical probabilities from symmetries and other causally relevant properties of physical systems are proposed. -/- Not only physics but evolutionary biology and population ecology, the science of measurement error, and climate modeling have benefited enormously from the same kind of reasoning, the book goes on to argue. Inferences from dynamics to probability are so obvious to us, however, that their methodological importance has been largely overlooked. (shrink)

In a rich and thought-provoking paper, Lambros Malafouris argues that taking material culture seriously means to be ‘systematically concerned with figuring out the causal efficacy of materiality in the enactment and constitution of a cognitive system or operation’ (Malafouris 2004, 55). As I understand this view, there are really two intertwined claims to be established. The first is that the things beyond the skin that make up material culture (in other words, the physical objects and artefacts in which cultural networks (...) and systems of human social relations are realized) may be essential to the enactment of, and be partly constitutive of, certain cognitive systems or operations. The consequence of establishing this claim is supposed to be that we have a mandate to recast the boundaries of the mind so as to include, as proper parts of the mind, things located beyond the skin. Thus, in talking about the contribution of the world to cognition, Malafouris (2004, 58) concludes that ‘what we have traditionally construed as an active or passive but always clearly separated external stimulus for setting a cognitive mechanism into motion, may be after all a continuous part of the machinery itself; at least ex hypothesi’. This is the position that, in philosophical circles, is known increasingly as the extended mind hypothesis (Clark & Chalmers 1998; Menary forthcoming). Henceforth I shall refer to this hypothesis as EM. A stock example will help bring the idea into view. Rumelhart et al. (1986) note that most of us solve difficult multiplication problems by using ‘pen and paper’ as an external resource. This environmental prop enables us to transform a difficult cognitive problem into a set of simpler ones, and to temporarily store the results of certain intermediate calculations. For the fan of EM, the distributed combination of this external resource and certain inner psychological processes constitutes a cognitive system in its own right. (shrink)

In this paper, we defend a traditional approach to semantics, that holds that the outputs of compositional semantics are propositional, i.e. truth conditions. Though traditional, this view has been challenged on a number of fronts over the years. Since classic work of Lewis, arguments have been offered which purport to show that semantic composition requires values that are relativized, e.g. to times, or other parameters that render them no longer propositional. Focusing in recent variants of these arguments involving quantification and (...) binding, we argue that a correct understanding of how composition works gives no reason to relativize semantic values, and that propositional semantic values are in fact the preferred option. We take our argument to be mainly empirical, but along the way, we defend some more general theses. Simple propositional semantic values are viable in composition, we maintain, because composition is itself a complex phenomenon, involving multiple modes of composition. Furthermore, some composition principles make adjustments to the meanings of constituents in the course of composition. These adjustments are by triggered syntactic environments. We argue such small contributions of meaning from syntactic structure are acceptable. (shrink)

Most anyone interested in such topics as creation mythology, Jungian theory, or the idea of "secret teachings" in ancient Judaism and Christianity has found "gnosticism" compelling. Yet the term "gnosticism," which often connotes a single rebellious movement against the prevailing religions of late antiquity, gives the false impression of a monolithic religious phenomenon. Here Michael Williams challenges the validity of the widely invoked category of ancient "gnosticism" and the ways it has been described. Presenting such famous writings and movements (...) as the Apocryphon of John and Valentinian Christianity, Williams uncovers the similarities and differences among some major traditions widely categorized as gnostic. He provides an eloquent, systematic argument for a more accurate way to discuss these interpretive approaches.The modern construct "gnosticism" is not justified by any ancient self-definition, and many of the most commonly cited religious features that supposedly define gnosticism phenomenologically turn out to be questionable. Exploring the sample sets of "gnostic" teachings, Williams refutes generalizations concerning asceticism and libertinism, attitudes toward the body and the created world, and alleged features of protest, parasitism, and elitism. He sketches a fresh model for understanding ancient innovations on more "mainstream" Judaism and Christianity, a model that is informed by modern research on dynamics in new religious movements and is freed from the false stereotypes from which the category "gnosticism" has been constructed. (shrink)

This book provides a systematic defense of moral contractarianism as a distinct approach to the social contract. It elucidates, in comparison to moral conventionalism and moral contractualism, the distinct features of moral contractarianism, its scope, and conceptual and practical challenges that concern the relationship between morality and self-interest, the problems of assurance and compliance, rule-following, counterfactualism, and the nexus between morals and politics. It argues that, if appropriately conceived, moral contractarianism is conceptually coherent, empirically sound, and practically relevant, and has (...) much to offer to contemporary moral philosophy. (shrink)

Does human life have meaning? Ever since Darwin, there has been great skepticism about whether a "meaning of life" was possible outside of religious belief. Is it possible to find meaning in human life? Philosopher of science Michael Ruse examines the question of meaning in life within Darwinian views of human nature. He argues that meaning in the Darwinian age can be found if we turn to a kind of Darwinian existentialism, seeing our evolved human nature as the source (...) of all meaning, both in the intellectual and social worlds. (shrink)

THE central idea of modern empiricism has been that, if there is to be such a thing as justification at all, empirical knowledge must be seen as resting on experiential "foundations." To claim that knowledge rests on foundations is to claim that there is a privileged class of beliefs the members of which are "intrinsically credible" or "directly evident" and which are able, therefore, to serve as ultimate terminating points for chains of justification. An important development in current epistemology has (...) been a revival of the debate between philosophers who favor this conception of knowledge and those who think that an adequate account of justification can be given in terms of "coherence." Thus Dummett, Pollock, and Quinton, in varying degrees, have based their recent defenses of traditional empiricist views on what they take to be the clear untenability of coherentist alternatives. Harman and Lehrer, on the other hand, have tried to show that defensible versions of the coherence theory can be developed. (shrink)

The paper explains why an ontology of permanent point particles that are individuated by their relative positions and that move on continuous trajectories as given by a deterministic law of motion constitutes the best solution to the measurement problem in both quantum mechanics and quantum field theory. This case is made by comparing the Bohmian theory to collapse theories such as the GRW matter density and the GRW flash theory. It is argued that the Bohmian theory makes the minimal changes, (...) concerning only the dynamics and neither the ontology nor the account of probabilities, that are necessary to get from classical mechanics to quantum physics. There is no cogent reason to go beyond these minimal changes. (shrink)

Emmanuel Levinas conceives of our lives as fundamentally interpersonal and ethical, claiming that our responsibilities to one another should shape all of our actions. While many scholars believe that Levinas failed to develop a robust view of political ethics, Michael L. Morgan argues against understandings of Levinas’s thought that find him politically wanting or even antipolitical. Morgan examines Levinas’s ethical critique of the political as well as his Jewish writings—including those on Zionism and the founding of the Jewish state—which (...) are controversial reflections of Levinas’s political expression. Unlike others who dismiss Levinas as irrelevant or anarchical, Morgan is the first to give extensive treatment to Levinas as a serious social political thinker whose ethics must be understood in terms of its political implications. Morgan reveals Levinas’s political commitments to liberalism and democracy as well as his revolutionary conception of human life as deeply interconnected on philosophical, political, and religious grounds. (shrink)

In this provocatively compelling new book, Michael Luntley offers a revolutionary reading of the opening section of Wittgenstein’s _Philosophical Investigations _ Critically engages with the most recent exegetical literature on Wittgenstein and other state-of-the-art philosophical work Encourages the re-incorporation of Wittgenstein studies into the mainstream philosophical conversation Has profound consequences for how we go on to read the rest of Wittgenstein’s major work Makes a significant contribution not only to the literature on Wittgenstein, but also to studies in philosophy (...) of language. (shrink)

This book brings together researchers with cognitive-scientific and literary backgrounds to present innovative research in all three variations on the possible interactions between literary studies and cognitive science. The tripartite structure of the volume reflects a more ambitious conception of what cognitive approaches to literature are and could be than is usually encountered, and thus aims both to map out and to advance the field. The first section corresponds to what most people think of as "cognitive poetics" or "cognitive literary (...) studies": the study of literature by literary scholars drawing on cognitive-scientific methods, findings, and/or debates to yield insights into literature. The second section demonstrates that literary scholars needn't only make use of cognitive science to study literature, but can also, in a reciprocally interdisciplinary manner, use a cognitively informed perspective on literature to offer benefits back to the cognitive sciences. Finally, the third section, "literature in cognitive science", showcases some of the ways in which literature can be a stimulating object of study and a fertile testing ground for theories and models, not only to literary scholars but also to cognitive scientists, who here engage with some key questions in cognitive literary studies with the benefit of their in-depth scientific knowledge and training. (shrink)

How to regard the weight we give to a proposition on the grounds of its being endorsed by an authority? I examine this question as it is raised within the epistemology of science, and I argue that “authority-based weight” should receive special handling, for the following reason. Our assessments of other scientists’ competence or authority are nearly always provisional, in the sense that to save time and money, they are not made nearly as carefully as they could be---indeed, they are (...) typically made on the basis of only a small portion of the available evidence. Consequently, we need to represent the authority-based elements of our epistemic attitudes in such a way as to allow the later revision of those elements, in case we decide in the light of new priorities that a more conscientious assessment is warranted. I look to the literature in confirmation theory, statistics, and economics for a semiformal model of this revision process, and make a particular proposal of my own. The discussion also casts some light on the question of why certain aspects of science’s epistemic state are not made public. (shrink)

A. THE TEXT The main importance of these two treatises lies in the insight they provide into Spinoza's conception of the relation between mathematics and certain disciplines not touched upon elsewhere in his major writings. The mathematics they involve are not the as those of the Ethics however, and the precise connection same between the geometrical order of this work and these excursions into optics and probability is by no means obvious. Add to this difficulty the knotty problems presented by (...) their editorial his tory, dating and scientific background, and it is not perhaps surprising that in spite of the fact that they provide such an excellent illustration of Spinoza's reaction to certain important developments in the history of physics and mathematics, they should not, so far, have attracted much attention. They were first published in 1687 by Levyn van Dyck (d. 1695), official printer to the town council in The Hague. Printing anything by Spinoza was not without its risks, and it is probably significant that during the same year van Dyck should also have published a lengthy and elaborate refutation of Spinozism by 1 the pious and eccentric physician ]. F. Helvetius. Spinoza's name was omitted from the title-page, possibly because the editor or publisher thought that his reputation as an atheist might prejudice the sale of the booklet, and it was not until 1860 that the Amsterdam bookseller Frederik Muller (1817-1881) identified him as its author. (shrink)

Ever since Darwin, scholars have noted that cultural entities such as languages, laws and theories seem to evolve through variation, selection and replication. These essays consider whether this comparison is just a metaphor.

This original and provocative study tells the story of American literary history from the perspective of its environmental context. Weaving together close readings of early American texts with ecological histories of tobacco, potatoes, apples and honey bees, Michael Ziser presents a method for literary criticism that explodes the conceptual distinction between the civilized and natural world. Beginning with the English exploration of Virginia in the sixteenth century, Ziser argues that the settlement of the 'New World' - and the cultivation (...) and exploitation of its bounty - dramatically altered how writers used language to describe the phenomena they encountered on the frontier. Examining the work of Harriot, Grainger, Cooper, Thoreau and others, Ziser reveals how these authors, whether consciously or not, transcribed the vibrant ecology of North America, and the ways that the environment helped codify a uniquely American literary aesthetic of lasting importance. (shrink)

Michael Bradie does not share Blackmore's enthusiasm for the ‘new science of memetics’.

Ce texte a déjà paru dans S. Efimova und M. Gamper, Prosa Prose : Geschichte, Poetik, Theorie, Berlin/Boston, De Gruyter, 2021. Nous remercions Michael Gamper ainsi que les éditions De Gruyter de nous avoir donné l'autorisation de le reproduire sur RHUTHMOS. Am 13. Juli 1876 schreibt Theodor Storm an Wolfgang Petersen und reagiert in seinem Brief auf dessen Kritik an seiner Erzählung Aquis Submersus : „Ich bin sonst immer ziemlich besorgt, nicht in Versr[h]ythmus zu verfallen, und sehe - Poétique (...) et Études littéraires – GALERIE – Nouvel article. (shrink)