Text representations as reflected in patterns of cognitive distance

Subjects performed a task that involved learning a text and then indicating, for each of a series of pairs of words, whether they belonged to the same sentence of that text. When the principle of argument overlap or causal coherence was the sole integrative factor in a text, negative response times and error rates reflected distances in the network representation predicted by the principle. When the two principles predicted conflicting representations for a text, response times and error rates reflected the predictions of the principle of argument overlap. The results were interpreted as suggesting that network connections predicted by the two principles are both present in the memory representations of texts and that causal connections are recorded at a more abstract level of representation than are argument overlap connections.     

Properties of cognitive maps constructed from texts

Subjects in three experiments read texts describing the locations of landmarks in a fictitious town. Later they drew sketch maps and verified sentences describing the relative locations of the landmarks. We predicted that subjects would develop mental models of the town that were organized around important landmarks (“anchors”), as are cognitive maps constructed through real-world navigation. More specifically, we expected that landmarks used in the text as reference points for describing the locations of some other landmarks would emerge as anchors in the subjects’ cognitive maps and would consequently be recalled more accurately. Results showed that subjects represented such reference-point landmarks more accurately than they did the locations of other landmarks. This effect was independent of: (1) the perspective from which the text was written (route or survey); (2) whether or not a map was present at learning; (3) the order of information in the text (linear or anchors-first), and (4) the amount of information available to the subjects while drawing sketch maps (the full text, the landmark names only, or no information).     

Real-time generation of representations for cognitive models

Computerized models of human cognition and behavior have been used to help researchers refine their theories of cognitive processes. Two difficulties inherent in using these cognitive models are that building representations of to-be-modeled groups or individuals is (1) time-consuming and (2) prone to error when performed manually. The use of computerized tools to build representations for cognitive models could alleviate these problems. Such a set of tools has been developed and applied to the task of modeling individual aviation pilots performing flight maneuvers in real time. A study conducted with 27 pilots confirms the accuracy of the computer-generated representations.     

A cognitive model in which representations are images

Interpretations of images of the brain are starting to reveal the conceptual tasks in which the person was engaged at the time of imaging. Existing mathematical models can explain the patterns of activity observed in such images in terms of the coherent activity of large populations of neurons, but not in terms of cognition. This paper is an early investigation into how such patterns might provide the internal representations for a cognitive system. Probes, working memories and memories are all represented as images. The accompanying process model describes how attention is set according to the contents of working memory, how attention determines what parts of the probe are memorised, how memories are activated according to similarity to the probe in areas in attention, and how working memory is managed. The model is demonstrated on re-creations of classic simulations of recognition memory and categorisation.     

Free trees and bidirectional trees as representations of psychological distance

Two types of graph-theoretic representations of psychological distances or dissimilarities are proposed: weighted free trees and weighted bidirectional trees. A weighted free tree is a generalization of the sort of graph representation used in hierarchical clustering. A weighted bidirectional tree is a further generalization which allows for asymmetric dissimilarities. The properties of these structures are discussed and numerical methods are presented that can be used to derive a representation for any given set of dissimilarities. The applicability of these structures is illustrated by using them to represent the data from experiments on the similarities among animal terms and on memory for sentences. An analysis based upon free trees is compared and contrasted with analyses using hierarchical clustering and multidimensional scaling.     

Emergent representations, interaction theory and the cognitive force of metaphor

We focus here on the problem of how new representations emerge through a cognitive agent's interaction with the environment. We address this problem within a framework where representation-building mechanisms operate to create new representations against a backdrop of existing representations, and argue that novel and creative metaphors in any language provide a prime example of this phenomenon. Our approach to modeling the emergence of representation integrates ideas from three different streams of research: (1) the interaction theory of metaphor proposed by Black and others to account for the creativity of metaphors; (2) gestalt theories of perception; and (3) contemporary research supporting a constructivist and action-oriented view of perception and cognition. Combining these insights together, we outline our Gestalt projection model, and discuss three different ways in which new representations might emerge through metaphors. Finally, we propose that metaphor may be viewed as a cognitive force through which a cognitive agent asserts its creative spirit onto the environment.     

Individual differences in cognitive representations of action influence the activation of goal concepts

Goal representations play a key role in various psychological processes, including behavioral regulation, self-perception and social understanding. Research on cognitive representations of action has identified individual differences in the general tendency to construe actions in terms of their goal (vs. movement parameters), which can be reliably assessed with the Behavior Identification Form (BIF). The aim of the present study was to examine how individual differences in action identification, as measured by the BIF, affect online processing of action in a laboratory study. The main results showed that the level of action identification predicted participants' performance in a task designed to implicitly assess people's automatic processing of action regarding goal features. We discussed the possible role of impaired goal processing in psychological dysfunctions.     

Judgments of relative position and distance on representations of spatial relations

This article examines Kosslyn's (1987) hypothesis of the unequal capacity of cerebral hemispheres to process categorical and coordinate spatial relations. Experiment 1 comprised 4 different tasks and failed to support this hypothesis in normal Ss. With the same stimulus patterns as in Kosslyn's study, the results failed to confirm cerebral asymmetry for representing the 2 types of spatial relations, in normal (Experiment 2) and commissurotomized (Experiment 3) Ss. In Experiment 4, a reduction in stimulus luminance produced a partial confirmation of the hypothesis as the right hemisphere proved more adept than the left hemisphere at operating on coordinate representations, whereas both were equally competent at processing categorical spatial-relation representations. The results suggest that the 2 hemispheres can operate on both types of spatial relations, but their respective efficiency depends on the quality of the representations to be processed.     

Body representations and cognitive ontology: Drawing the boundaries of the body image

The distinction between body image and body schema has been incredibly influential in cognitive neuroscience. Recently, researchers have begun to speculate about the relationship between these representations (Gadsby, 2017, 2018; Pitron & de Vignemont, 2017; Pitron et al., 2018). Within this emerging literature, Pitron et al. (2018) proposed that the long-term body image and long-term body schema co-construct one another, through a process of reciprocal interaction. In proposing this model, they make two assumptions: that the long-term body image incorporates the spatial characteristics of tools, and that it is distorted in the case of Alice in wonderland syndrome. Here, I challenge these assumptions, with a closer examination of what the term “long-term body image” refers to. In doing so, I draw out some important taxonomic principles for research into body representation.     

Measuring distance in personal relationships: The Relational Distance Index

This article describes the development of an instrument that measures people's reported use of distancing tactics in personal relationships. Two versions of the Relational Distance Index (RDI) were developed, an 8‐itemversion and a 17‐item version. Four studies were conducted to examine the instrument's psychometric properties. The index exhibited a stable two‐factor structure (unfriendly and withdrawal), had acceptable internaland temporal reliability, and performed well on the tests of convergent and discriminant validity. The data suggested the RDI is suitable for use with both student and nonstudent samples.     

WINDSOR: Windsor improved norms of distance and similarity of representations of semantics

Lexical co-occurrence models of semantic memory form representations of the meaning of a word on the basis of the number of times that pairs of words occur near one another in a large body of text. These models offer a distinct advantage over models that require the collection of a large number of judgments from human subjects, since the construction of the representations can be completely automated. Unfortunately, word frequency, a well-known predictor of reaction time in several cognitive tasks, has a strong effect on the co-occurrence counts in a corpus. Two words with high frequency are more likely to occur together purely by chance than are two words that occur very infrequently. In this article, we examine a modification of a successful method for constructing semantic representations from lexical co-occurrence. We show that our new method eliminates the influence of frequency, while still capturing the semantic characteristics of words.     

Measuring cognitive and dispositional characteristics of creativity in elementary students

This article describes the theoretical underpinning and development of a measurement instrument that provides teachers with a tool to observe the personal creativity characteristics of individual students. The instrument was developed by compiling a list of characteristics derived from the literature to be indicative of the personal characteristics of creative people. The list was then reduced by grouping like characteristics to 9 cognitive and dispositional traits that were considered appropriate for elementary students. The 9‐item instrument was then administered in 24 classrooms to 520 Year 6 and Year 7 students. Factor analysis using maximum likelihood extraction with an oblimin rotation revealed a single factor with an eigenvalue greater than 1 and accounting for 63% of the variance. All 9 items on this factor loaded at .72 or greater. The results indicated that the Creativity Checklist has very high internal consistency and is a reliable measurement instrument (a = .93).     

Context-specific prime-congruency effects: On the role of conscious stimulus representations for cognitive control

Recent research suggests that processing of irrelevant information can be modulated in a rapid online fashion by contextual information in the task environment depending on the usefulness of that information in different contexts. Congruency effects evoked by irrelevant stimulus attributes are smaller in contexts with high proportions of incongruent trials and larger in contexts with high proportions of congruent trials (e.g., Corballis and Gratton, 2003, Lehle and Hübner, 2008). The present study investigates these context-adaptation effects in a masked-priming paradigm. Context-specific adaptation effects transfer to stimulus identities that are equiprobale in all contexts – an observation that renders explanations in terms of event-learning processes unlikely. Yet, context-specific effects vanished when the irrelevant information remained unconscious. The results suggest that context-specific adaptation of congruency effects reflect cognitive control operations that alter the processing of irrelevant information depending on the experienced utility of that information for action control.     

Effects of the cognitive organization of route knowledge on judgments of macrospatial distance

The effects of route segmentation were examined in a series of three experiments, Subjects in Experiment 1 divided an actual route into segments. Subjects in Experiment 2 performed corresponding proximity-judgment and distance-estimation tasks involving locations selected on the basis of the route segments identified in Experiment 1. Subjects in Experiment 3 performed a simple unidirectional distance-estimation task. Results from these experiments indicated that subjects can readily divide a route into segments and that these segments significantly bias judgments of macrospatial distance. These findings suggest a similarity between route segmentation in macrospatial cognition and categorization in other cognitive-task domains.