An essential aspect of knowing language is knowing the words of that language. This knowledge is usually thought to reside in the mental lexicon, a kind of dictionary that contains information regarding a word’s meaning, pronunciation, syntactic characteristics, and so on. In this article, a very different view is presented. In this view, words are understood as stimuli that operate directly on mental states. The phonological, syntactic and semantic properties of a word are revealed by the effects it has on (...) those states. (shrink)

Time underlies many interesting human behaviors. Thus, the question of how to represent time in connectionist models is very important. One approach is to represent time implicitly by its effects on processing rather than explicitly (as in a spatial representation). The current report develops a proposal along these lines first described by Jordan (1986) which involves the use of recurrent links in order to provide networks with a dynamic memory. In this approach, hidden unit patterns are fed back to themselves: (...) the internal representations which develop thus reflect task demands in the context of prior internal states. A set of simulations is reported which range from relatively simple problems (temporal version of XOR) to discovering syntactic/semantic features for words. The networks are able to learn interesting internal representations which incorporate task demands with memory demands: indeed, in this approach the notion of memory is inextricably bound up with task processing. These representations reveal a rich structure, which allows them to be highly context‐dependent, while also expressing generalizations across classes of items. These representations suggest a method for representing lexical categories and the type/token distinction. (shrink)

Although for many years a sharp distinction has been made in language research between rules and words—with primary interest on rules—this distinction is now blurred in many theories. If anything, the focus of attention has shifted in recent years in favor of words. Results from many different areas of language research suggest that the lexicon is representationally rich, that it is the source of much productive behavior, and that lexically specific information plays a critical and early role in the interpretation (...) of grammatical structure. But how much information can or should be placed in the lexicon? This is the question I address here. I review a set of studies whose results indicate that event knowledge plays a significant role in early stages of sentence processing and structural analysis. This poses a conundrum for traditional views of the lexicon. Either the lexicon must be expanded to include factors that do not plausibly seem to belong there; or else virtually all information about word meaning is removed, leaving the lexicon impoverished. I suggest a third alternative, which provides a way to account for lexical knowledge without a mental lexicon. (shrink)

Periodically in science there arrive on the scene what appear to be dramatically new theoretical frameworks (what the philosopher of science Thomas Kuhn has called paradigm shifts). Characteristic of such changes in perspective is the recasting of old problems in new terms. By altering the conceptual vocabulary we use to think about problems, we may discover solutions which were obscured by prior ways of thinking about things. Connectionism, artificial life, and dynamical systems are all approaches to cognition which are relatively (...) new and have been claimed to represent such paradigm shifts. Just how deep the shifts are remains an open question, but each of these approaches certainly seems to offer novel ways of dealing with basic questions in cognitive science. (shrink)

Anticipation plays a role in language comprehension. In this article, we explore the extent to which verb sense influences expectations about upcoming structure. We focus on change of state verbs like shatter, which have different senses that are expressed in either transitive or intransitive structures, depending on the sense that is used. In two experiments we influence the interpretation of verb sense by manipulating the thematic fit of the grammatical subject as cause or affected entity for the verb, and test (...) whether readers’ expectations for a transitive or intransitive structure change as a result. This sense‐biasing context influenced reading times in the postverbal regions. Reading times for transitive sentences were faster following good‐cause than good‐theme subjects, but the opposite pattern was found for intransitive sentences. We conclude that readers use sense‐contingent subcategorization preferences during on‐line comprehension. (shrink)

The nature–nurture controversy has been with us since it was first outlined by Plato and Aristotle. Nobody likes it anymore. All reasonable scholars today agree that genes and environment interact to determine complex cognitive outcomes. So why does the controversy persist? First, it persists because it has practical implications that cannot be postponed (i.e., what can we do to avoid bad outcomes and insure better ones?), a state of emergency that sometimes tempts scholars to stake out claims they cannot defend. (...) Second, the controversy persists because we lack a precise, testable theory of the process by which genes and the environment interact. In the absence of a better theory, innateness is often confused with (1) domain specificity (outcome X is so peculiar that it must be innate), (2) species specificity (we are the only species who do X, so X must lie in the human genome), (3) localization (outcome X is mediated by a particular part of the brain, so X must be innate), and (4) learnability (we cannot figure out how X could be learned, so X must be innate). We believe that an explicit, plausible theory of interaction is now around the corner, and that many of the classic maneuvers to defend or attack innateness will soon disappear. In the interim, some serious errors can be avoided if we keep these confounded issues apart. That is the major goal of this chapter: not to attack innateness but to clarify what claims about innateness are (and are not) about. (shrink)

McRae, Brown and Elman argue against the view that events are structured as frequently‐occurring sequences of world stimuli. They underline the importance of temporal structure defining event types and advance a more complex temporal structure, which allows for some variance in the component elements.

For more than three decades, research into the psycholinguistics of pronoun interpretation has argued that hearers use various interpretation ‘preferences’ or ‘strategies’ that are associated with specific linguistic properties of antecedent expressions. This focus is a departure from the type of approach outlined in Hobbs , who argues that the mechanisms supporting pronoun interpretation are driven predominantly by semantics, world knowledge and inference, with particular attention to how these are used to establish the coherence of a discourse. On the basis (...) of three new experimental studies, we evaluate a coherence-driven analysis with respect to four previously proposed interpretation biases—based on grammatical role parallelism, thematic roles, implicit causality, and subjecthood—and argue that the coherence-driven analysis can explain the underlying source of the biases and predict in what contexts evidence for each will surface. The results further suggest that pronoun interpretation is incrementally influenced by probabilistic expectations that hearers have regarding what coherence relations are likely to ensue, together with their expectations about what entities will be mentioned next, which, crucially, are conditioned on those coherence relations. (shrink)

Sibley, Kello, Plaut, and Elman (2008) proposed the sequence encoder as a model that learns fixed‐width distributed representations of variable‐length sequences. In doing so, the sequence encoder overcomes problems that have restricted models of word reading and recognition to processing only monosyllabic words. Bowers and Davis (2009) recently claimed that the sequence encoder does not actually overcome the relevant problems, and hence it is not a useful component of large‐scale word‐reading models. In this reply, it is noted that the (...) sequence encoder has facilitated the creation of large‐scale word‐reading models. The reasons for this success are explained and stand as counterarguments to claims made by Bowers and Davis. (shrink)

PurposeThis study investigated whether the ability to utilize statistical regularities from fluent speech and map potential words to meaning at 18-months predicts vocabulary at 18- and again at 24-months.MethodEighteen-month-olds were exposed to an artificial language with statistical regularities within the speech stream, then participated in an object-label learning task. Learning was measured using a modified looking-while-listening eye-tracking design. Parents completed vocabulary questionnaires when their child was 18-and 24-months old.ResultsAbility to learn the object-label pairing for words after exposure to the artificial (...) language predicted productive vocabulary at 24-months and amount of vocabulary change from 18- to 24 months, independent of non-verbal cognitive ability, socio-economic status and/or object-label association performance.ConclusionEighteen-month-olds’ ability to use statistical information derived from fluent speech to identify words within the stream of speech and then to map the “words” to meaning directly predicts vocabulary size at 24-months and vocabulary change from 18 to 24 months. The findings support the hypothesis that statistical word segmentation is one of the important aspects of word learning and vocabulary acquisition in toddlers. (shrink)

La pensée de Lévinas, du début jusqu’à la fin, est animée par le souci de libérer le moi du « mal de l’être » – c’est-à-dire, de l’expérience de l’être anonyme et irrémissible, sans fin ni commencement, que Lévinas nomme il y a. Dans les premiers ouvrages , l’autofondation du sujet répond à ce souci, mais cette tentative de libération échoue en tant qu’elle condamne le sujet à la présence toujours présente de lui-même et à sa persévérance dans l’effort d’être. (...) La notion de substitution que développera pleinement Autrement qu’être réussit là où la tentative des premiers ouvrages a échoué. La substitution dans la responsabilité libère la subjectivité mais, selon un paradoxe essentiel, la libère en la rendant otage de l’autre. Si la substitution dans la responsabilité est en effet l’événement de la subjectivation, comme le soutient Lévinas, alors il n’y a pas d’éthique sans libération et pas de libération sans éthique.Levinas’ thought, form start to finish, was animated by a concern for liberation of the self form the « evil of Being » – that is, form the experience of anonymous, irremissible Being without start or finish, which Levins names there is. In the early works , the autofoundation of the subject responds to this concern, but this attempt at liberation falls short as it condemns the subject to the ever present presence of itself and its perseverance in the effort of existing. The notion of substituion, developed most fully in Autrement qu’être, then succeeds xhere the aerlier effort failed. Substitution in responsibility liberates subjectivity, but, according to an essential paradox, liberates it as hostage of the other. If substitution in responsibility is indeed the event of subjectification, as Levinas argues, then there is no ethics without liberation, and no liberation without ethics. (shrink)

A defining characteristic of Alzheimer’s disease is difficulty in retrieving semantic memories, or memories encoding facts and knowledge. While it has been suggested that this impairment is caused by a degradation of the semantic store, the precise ways in which the semantic store is degraded are not well understood. Using a longitudinal corpus of semantic fluency data, we derive semantic network representations of patients with Alzheimer’s disease and of healthy controls. We contrast our network-based approach with analyzing fluency data with (...) the standard method of counting the total number of items and perseverations in fluency data. We find that the networks of Alzheimer’s patients are more connected and that those connections are more randomly distributed than the connections in networks of healthy individuals. These results suggest that the semantic memory impairment of Alzheimer’s patients can be modeled through the inclusion of spurious associations between unrelated concepts in the semantic store. We also find that information from our network analysis of fluency data improves prediction of patient diagnosis compared to traditional measures of the semantic fluency task. (shrink)

Levinas and the Philosophy of Religion Jeffrey L. Kosky Reveals the interplay of phenomenology and religion in Levinas’s thought. "Kosky examines Levinas’s thought from the perspective of the philosophy of religion and he does so in a way that is attentive to the philosophical nuances of Levinas’s argument.... an insightful, well written, and carefully documented study... that uniquely illuminates Levinas’s work." —John D. Caputo For readers who suspect there is no place for religion and morality in postmodern philosophy, (...) class='Hi'>Jeffrey L. Kosky suggests otherwise in this skillful interpretation of the ethical and religious dimensions of Emmanuel Levinas’s thought. Placing Levinas in relation to Hegel and Nietzsche, Husserl and Heidegger, Derrida and Marion, Kosky develops religious themes found in Levinas’s work and offers a way to think and speak about ethics and morality within the horizons of contemporary philosophy of religion. Kosky embraces the entire scope of Levinas’s writings, from Totality and Infinity to Otherwise than Being, contrasting Levinas’s early religious and moral thought with that of his later works while exploring the nature of phenomenological reduction, the relation of religion and philosophy, the question of whether Levinas can be considered a Jewish thinker, and the religious and theological import of Levinas’s phenomenology. Kosky stresses that Levinas is first and foremost a phenomenologist and that the relationship between religion and philosophy in his ethics should cast doubt on the assumption that a natural or inevitable link exists between deconstruction and atheism. Jeffrey L. Kosky is translator of On Descartes’ Metaphysical Prism: The Constitution and the Limits of Onto-theo-logy in Cartesian Thought by Jean-Luc Marion. He has taught at Williams College. Indiana Series in the Philosophy of Religion—Merold Westphal, general editor May 2001 272 pages, 6 1/8 x 9 1/4, bibl., index, append. cloth 0-253-33925-1 $39.95 s / £30.50. (shrink)

Sibley et al. (2008) report a recurrent neural network model designed to learn wordform representations suitable for written and spoken word identification. The authors claim that their sequence encoder network overcomes a key limitation associated with models that code letters by position (e.g., CAT might be coded as C‐in‐position‐1, A‐in‐position‐2, T‐in‐position‐3). The problem with coding letters by position (slot‐coding) is that it is difficult to generalize knowledge across positions; for example, the overlap between CAT and TOMCAT is lost. Although we (...) agree this is a critical problem with many slot‐coding schemes, we question whether the sequence encoder model addresses this limitation, and we highlight another deficiency of the model. We conclude that alternative theories are more promising. (shrink)

Individuals vary in the way they navigate through space. Some take novel shortcuts, while others rely on known routes to find their way around. We wondered how and why there is so much variation in the population. To address this, we first compared the trajectories of 368 human subjects navigating a virtual maze with simulated trajectories. The simulated trajectories were generated by strategy-based path planning algorithms from robotics. Based on the similarities between human trajectories and different strategy-based simulated trajectories, we (...) found that there is a variation in the type of strategy individuals apply to navigate space, as well as variation within individuals on a trial-by-trial basis. Moreover, we observed variation within a trial when subjects occasionally switched the navigation strategies halfway through a trajectory. In these cases, subjects started with a route strategy, in which they followed a familiar path, and then switched to a survey strategy, in which they took shortcuts by considering the layout of the environment. Then we simulated a second set of trajectories using five different but comparable artificial maps. These trajectories produced the similar pattern of strategy variation within and between trials. Furthermore, we varied the relative cost, that is, the assumed mental effort or required timesteps to choose a learned route over alternative paths. When the learned route was relatively costly, the simulated agents tended to take shortcuts. Conversely, when the learned route was less costly, the simulated agents showed preference toward a route strategy. We suggest that cost or assumed mental effort may be the reason why in previous studies, subjects used survey knowledge when instructed to take the shortest path. We suggest that this variation we observe in humans may be beneficial for robotic swarms or collections of autonomous agents during information gathering. (shrink)

Individuals vary in the way they navigate through space. Some take novel shortcuts, while others rely on known routes to find their way around. We wondered how and why there is so much variation in the population. To address this, we first compared the trajectories of 368 human subjects navigating a virtual maze with simulated trajectories. The simulated trajectories were generated by strategy-based path planning algorithms from robotics. Based on the similarities between human trajectories and different strategy-based simulated trajectories, we (...) found that there is a variation in the type of strategy individuals apply to navigate space, as well as variation within individuals on a trial-by-trial basis. Moreover, we observed variation within a trial when subjects occasionally switched the navigation strategies halfway through a trajectory. In these cases, subjects started with a route strategy, in which they followed a familiar path, and then switched to a survey strategy, in which they took shortcuts by considering the layout of the environment. Then we simulated a second set of trajectories using five different but comparable artificial maps. These trajectories produced the similar pattern of strategy variation within and between trials. Furthermore, we varied the relative cost, that is, the assumed mental effort or required timesteps to choose a learned route over alternative paths. When the learned route was relatively costly, the simulated agents tended to take shortcuts. Conversely, when the learned route was less costly, the simulated agents showed preference toward a route strategy. We suggest that cost or assumed mental effort may be the reason why in previous studies, subjects used survey knowledge when instructed to take the shortest path. We suggest that this variation we observe in humans may be beneficial for robotic swarms or collections of autonomous agents during information gathering. (shrink)

Access to a deep pool of talent is essential to the success of every professional services firm. The supply of that talent is contingent upon the available rewards for the exercise of that talent, and both the existence of the potential rewards and the beliefs that individuals hold about the existence of the rewards affect the decision to remain in the field. One structural factor that may affect the judgment about whether to remain in a profession concerns promotions based on (...) the gender of the employee. In this study, we examine the “glass ceiling” within the context of the accounting profession. While advances have been made within the accounting profession to address the glass ceiling, the continued existence—and perceptions about the continued existence—of the issue exert adverse effects upon the available talent pool and may create long-term problems for the profession. In this study, we investigate glass ceiling perceptions among a large sample of female accounting professionals employed in accounting; the sample includes both public accountants, and those employed in industry accounting. Our study yields the finding of beliefs in bias-driven effects, structural effects, and cultural effects among these accounting professionals. Glass ceiling perceptions are also influenced by several demographic factors. Furthermore, accounting professionals employed by industry are more likely to report a glass ceiling within their firms than accounting professionals employed by public accounting firms. The findings are of interest to researchers who explore gender-related issues in professional service firms such as the field of accounting, and to senior members of practice who are tasked with ensuring the integrity and quality of the talent pool and the equitable distribution of rewards to employees. (shrink)

We examine whether a taxpayer’s decision to choose a taxpayer-favorable (vs. a taxpayer-unfavorable) characterization of income is associated with contextual and individual dimensions of that decision. Using a 2 × 2 factorial experimental design, we manipulate the prevailing social norm on whether there is a general belief that a specific form of income should be characterized as a capital gain (taxed at a lower tax rate and hence taxpayer favorable) or as ordinary income (taxed at a higher tax rate and (...) hence taxpayer unfavorable), and the group affiliation on whether the individual is making a tax characterization decision as a sole proprietor or as a member of a group practice. Moreover, we measure participants’ fairness perception of characterizing the income as capital gains versus ordinary. We study the decisions of 180 graduate business and accounting students from two US business schools to explore these dimensions using a tax-ambiguous income situation. Results indicate that both contextual and individual dimensions impact taxpayer decisions. Specifically, the social norm and fairness perception of characterizing income as capital gains affects the likelihood of choosing such a characterization. Being a sole proprietor or a member of a group practice does not have any significant main effect. However, relative to all other conditions, taxpayers are most likely to characterize income as capital gains when both the social norms are for capital gains characterization and when the taxpayer is a member of a group practice. Results remain largely robust to a variety of alternative explanations. We conclude the paper with a discussion of our findings and their implications for tax policy, enforcement, and research. (shrink)

In the academic world, a researcher's number of publications can carry huge professional and financial rewards. This truth has led to many unethical authorship assignments throughout the world of publishing, including within faculty-student collaborations. Although the American Psychological Association passed a revised code of ethics in 1992 with special rules pertaining to such collaborative efforts, it is widely acknowledged that unethical assignments of authorship credit continue to occur regularly. This study found that of the 604 APA-member respondents, 165 felt they (...) had been involved in an unethical or unfair authorship assignment. Furthermore, nontenured faculty members and women were statistically more likely to be involved in an unethical or unfair assignment of authorship credit than tenured faculty members or men. (shrink)

Do firms respond to changes in economic growth by altering their corporate social responsibility programs? If they do respond, are their responses simply neglect of areas associated with corporate social performance or do they also cut back on positive programs such as profit sharing, public/private housing programs, or charitable contributions? In this paper, we argue that because CSP-related actions and programs tend to be discretionary, they are likely to receive less attention during tough economic times, a result of cost-cutting efforts. (...) However, the various CSP performance areas vary in terms of their resource requirements and their influence on financial performance, which suggests that firms may respond differently depending on area. Consequently, in addition to examining CSP concerns separately from positive actions and programs, we also examine the influence of economic growth across the five areas of diversity, employee relations, the environment, product quality/safety, and the community. Based on data from 837 firms over 15 years, our results suggest that firms neglect some areas associated with CSP during economic downturns, resulting in increased concerns about community and employee relations, product safety/quality, and the environment. However, this relationship does not apply to positive actions and programs. Instead, firms tend to increase their positive CSP programs in areas such as diversity, employee relations, and the environment during periods of slow economic growth and reduce them when the economy picks up. We offer potential explanations for our findings and discuss their importance to research on CSP. (shrink)

We examine whether a taxpayer’s decision to choose a taxpayer-favorable characterization of income is associated with contextual and individual dimensions of that decision. Using a 2 × 2 factorial experimental design, we manipulate the prevailing social norm on whether there is a general belief that a specific form of income should be characterized as a capital gain or as ordinary income, and the group affiliation on whether the individual is making a tax characterization decision as a sole proprietor or as (...) a member of a group practice. Moreover, we measure participants’ fairness perception of characterizing the income as capital gains versus ordinary. We study the decisions of 180 graduate business and accounting students from two US business schools to explore these dimensions using a tax-ambiguous income situation. Results indicate that both contextual and individual dimensions impact taxpayer decisions. Specifically, the social norm and fairness perception of characterizing income as capital gains affects the likelihood of choosing such a characterization. Being a sole proprietor or a member of a group practice does not have any significant main effect. However, relative to all other conditions, taxpayers are most likely to characterize income as capital gains when both the social norms are for capital gains characterization and when the taxpayer is a member of a group practice. Results remain largely robust to a variety of alternative explanations. We conclude the paper with a discussion of our findings and their implications for tax policy, enforcement, and research. (shrink)

When corporations are accused of unethical behaviour by external actors, executives from those organizations are usually compelled to offer communicative responses to defend their corporate image. To demonstrate the effect that corporate executives'' communicative responses have on third parties'' perception of corporate image, we present the Corporate Communicative Response Model in this paper. Of the five potential communicative responses contained in this model (no response, denial, excuse, justification, and concession), results from our empirical test demonstrate that a concession is the (...) most effective and robust communicative option. (shrink)

An exploration of how the writings of Jürgen Habermas lend philosophical support to the universal validity of reason, thus reinforcing the foundation of humanism.

Does Descartes belong to metaphysics? What do we mean when we say "metaphysics"? These questions form the point of departure for Jean-Luc Marion's groundbreaking study of Cartesian thought. Analyses of Descartes' notion of the _ego_ and his idea of God show that if Descartes represents the fullest example of metaphysics, he no less transgresses its limits. Writing as philosopher and historian of philosophy, Marion uses Heidegger's concept of metaphysics to interpret the Cartesian corpus—an interpretation strangely omitted from Heidegger's own history (...) of philosophy. This interpretation complicates and deepens the Heideggerian concept of metaphysics, a concept that has dominated twentieth-century philosophy. Examinations of Descartes' predecessors and his successors clarify the meaning of the Cartesian revolution in philosophy. Expertly translated by Jeffrey Kosky, this work will appeal to historians of philosophy, students of religion, and anyone interested in the genealogy of contemporary thought and its contradictions. (shrink)