Mental Structures

An ongoing philosophical discussion concerns how various types of mental states fall within broad representational genera—for example, whether perceptual states are “iconic” or “sentential,” “analog” or “digital,” and so on. Here, I examine the grounds for making much more specific claims about how mental states are structured from constituent parts. For example, the state I am in when I perceive the shape of a mountain ridge may have as constituent parts my representations of the shapes of each peak and saddle of the ridge. More specific structural claims of this sort are a guide to how mental states fall within broader representational kinds. Moreover, these claims have significant implications of their own about semantic, functional, and epistemic features of our mental lives. But what are the conditions on a mental state's having one type of constituent structure rather than another? Drawing on explanatory strategies in vision science, I argue that, other things being equal, the constituent structure of a mental state determines what I call its distributional properties—namely, how mental states of that type can, cannot, or must co‐occur with other mental states in a given system. Distributional properties depend critically on and are informative about the underlying structures of mental states, they abstract in important ways from aspects of how mental states are processed, and they can yield significant insights into the variegation of psychological capacities

Learning-based constraints on schemata

Schemata are frequently used in cognitive science as a descriptive framework for explaining the units of knowledge. However, the specific properties which comprise a schema are not consistent across authors. In this paper we attempt to ground the concept of a schema based on constraints arising from issues of learning. To do this, we consider the different forms of schemata used in computational models of learning. We propose a framework for comparing forms of schemata which is based on the underlying representation used by each model, and the mechanisms used for learning and retrieving information from its memory. Based on these three characteristics, we compare examples from three classes of model, identified by their underlying representations, specifically: neural network, production-rule and symbolic network models

Design Ltd.: Renovated Myths for the Development of Socially Embedded Technologies

This paper argues that traditional and mainstream mythologies, which have been continually told within the Information Technology domain among designers and advocators of conceptual modelling since the 1960s in different fields of computing sciences, could now be renovated or substituted in the mould of more recent discourses about performativity, complexity and end-user creativity that have been constructed across different fields in the meanwhile. In the paper, it is submitted that these discourses could motivate IT professionals in undertaking alternative approaches toward the co-construction of socio-technical systems, i.e., social settings where humans cooperate to reach common goals by means of mediating computational tools. The authors advocate further discussion about and consolidation of some concepts in design research, design practice and more generally Information Technology (IT) development, like those of: task-artifact entanglement, universatility (sic) of End-User Development (EUD) environments, bricolant/bricoleur end-user, logic of bricolage, maieuta-designers (sic), and laissez-faire method to socio-technical construction. Points backing these and similar concepts are made to promote further discussion on the need to rethink the main assumptions underlying IT design and development some fifty years later the coming of age of software and modern IT in the organizational domain.Comment: This is the peer-unreviewed of a manuscript that is to appear in D. Randall, K. Schmidt, & V. Wulf (Eds.), Designing Socially Embedded Technologies: A European Challenge (2013, forthcoming) with the title "Building Socially Embedded Technologies: Implications on Design" within an EUSSET editorial initiative (www.eusset.eu/

Spatial biases in mental arithmetic

Ein bedeutender Effekt der numerischen Kognition, der Operational Momentum Effekt, beschreibt die Beobachtung, dass Proband*innen das Ergebnis von Additionen überschätzen und das Ergebnis von Subtraktionen unterschätzen. Diverse theoretische Modelle wurden vorgebracht, um diesen Effekt zu erklären. Diese Modelle unterscheiden sich in Bezug darauf, ob sie räumliche Prozesse während des Kopfrechnens annehmen. Einige Studien haben seitdem Belege für eine Verknüpfung zwischen räumlicher Verarbeitung und Kopfrechnen liefern können. Die vorliegende Dissertation zielt darauf ab, räumliche Aufmerksamkeitsverschiebungen beim Kopfrechnen in drei Studien (Studie 1, Studie 3, Studie 4) und einer Kontrollstudie (Studie 2) vertieft zu untersuchen. Studie 1 zeigt, dass zwei-stellige Additionen mit Aufmerksamkeitsverschiebungen nach rechts assoziiert sind, während zwei-stellige Subtraktionen nicht mit Verschiebungen nach links einhergehen. Studie 3 liefert Hinweise für Aufmerksamkeitsverschiebungen in der Antwortphase von approximativen Rechenprozessen. Jedoch wurden ich dieser Studie keine Verschiebungen im Zeitfenster zwischen der Aufgabenpräsentation und der Antwortselektion gefunden. In Studie 4 wurden mittels steady-state visuell evozierten Potenzialen keinerlei räumliche Verschiebungen, sowohl im arithmetischen Kontext als auch in der Kontrollaufgabe gefunden. Die Kontrollstudie (Studie 2) untersuchte den Einfluss von kognitiver Belastung auf räumliche Aufmerksamkeit, wobei jedoch kein solcher Einfluss nachweisbar war. Zusammen unterstützen die Ergebnisse der vorliegenden Dissertation die Hypothese, dass räumliche und arithmetische Verarbeitung funktionell assoziiert sind (Studie 1, Studie 3). Andere Ergebnisse sind jedoch nicht so einfach mit den bestehenden Theorien vereinbar. Die Nulleffekte von Studie 2 und 4 betonen die Rolle methodischer Aspekte bei der Untersuchung räumlicher Aufmerksamkeitsverschiebungen, wie zum Beispiel die Wahl geeigneter Baseline-Aufgaben.A hallmark effect of numerical cognition, the operational momentum effect, describes the finding that participants tend to overestimate the result of addition problems and underestimate the result of subtraction problems. Several theoretical accounts proposed to explain that effect differ with regard to whether they assume spatial contributions to mental arithmetic. Several studies have since then provided evidence for an association between spatial processing and mental arithmetic. The present dissertation aimed at further enlarging upon this knowledge by investigating spatial biases in mental arithmetic via several behavioural and neurophysiological experimental paradigms. This thesis comprises three studies (Study 1, Study 3, Study 4) and a control study (Study 2). Study 1 demonstrated that spatial biases to the right can be observed in the context of two-digit addition processing, while no biases to the left were observed for two-digit subtraction processing. Study 3 provided evidence for spatial biases during the response stage of approximate arithmetic processing. Yet, no biases were observed in the time window between the task presentation and response selection. In Study 4, no biases could be measured via steady-state visually evoked potentials, neither in an arithmetic context nor in a control task. The control study (Study 2) investigated the impact of cognitive load on spatial biases. Still, no such impact could be shown in Study 2. Together, the results of the present dissertation provide support for the notion of a functional association between spatial and arithmetic processing (Study 1, Study 3). Nevertheless, several other findings are difficult to reconcile with the existing theoretical accounts. This implies that other mechanisms might be involved. Finally, the null effects of Study 2 and 4 highlighted the role of methodological aspects, like the choice of appropriate baseline tasks, when investigating attentional biases

Reexamining Linguistic Relativity: What Adult Bilinguals Can Teach Us About Culture, Language, And Cognition

Extending Whorf\u27s popular notion of linguistic relativity (LR) to bilingual contexts, one would argue that a speaker\u27s first language (L1) influences her thinking and behavior under second language (L2) conditions. According to one interpretation of LR, inter-language relativity, L1 instills in its speakers habitual ways of thinking and thus influences their perception and categorization in L2 contexts. Under intra-speaker relativity, bilinguals follow either L1 or L2 patterns of performance, depending on L2 proficiency. Finally, according to usage-based accounts of language, there is no qualitative difference between mono- and bilingual speakers, and a bilingual\u27s performance under L2 conditions is best viewed in terms of their ongoing engagement with L2. To investigate how much each interpretation contributes to our understanding of cognition, language, and culture, two studies were conducted with a sample of 45 adult Russian-English bilinguals. Each study was based on a popular research paradigm and tested all three interpretations of LR for their explanatory value. Study one utilized a one-word association task conducted in both languages, a common way to examine the conceptual organization of the bilingual lexicon. Study two utilized a different kind of association task to investigate influences of L1 (grammatical gender) under L2 conditions. In both studies, there was no evidence in support of either inter-language or intra-speaker relativity. There was evidence in support of usage-based accounts of language: bilinguals\u27 use of informal English appeared to moderate their performance under L2 conditions

Spatial Intuition in Elementary Arithmetic: A Neurocomputational Account

Elementary arithmetic (e.g., addition, subtraction) in humans has been shown to exhibit spatial properties. Its exact nature has remained elusive, however. To address this issue, we combine two earlier models for parietal cortex: A model we recently proposed on number-space interactions and a modeling framework of parietal cortex that implements radial basis functions for performing spatial transformations. Together, they provide us with a framework in which elementary arithmetic is based on evolutionarily more basic spatial transformations, thus providing the first implemented instance of Dehaene and Cohen's recycling hypothesis