Cognitive sciences最新文献

{"title":"Text Integration and Mathematical Connections: A Computer Model of Arithmetic Word Problem Solving","authors":"M. LeBlanc, S. Russell","doi":"10.1207/s15516709cog2003_2","DOIUrl":"https://doi.org/10.1207/s15516709cog2003_2","url":null,"abstract":"Understanding arithmetic word problems involves a complex interaction of text comprehension and mathematical processes. This article presents a computer simulation designed to capture the working memory demands required in “bottomup” comprehension of arithmetic word problems. The simulation's sentence-level parser and text integration component reflect the importance of processing the problem from its original natural language presentation. Children's probability of solution was analyzed in exploratory regression analyses as a function of the simulation's sentence-level and text integration processes. Working memory variables measuring the combined effects of concepts to remember and text integration inferences account for a significant proportion of variance in children's solution probabilities across the first four grade levels (K-3). Consistent with previous results from others, which highlighted the significance of small changes in problem wording, the simulation offers a process-oriented perspective as to why natural language presentation constrains the comprehension of mathematical relationships.","PeriodicalId":89752,"journal":{"name":"Cognitive sciences","volume":"197 3 1","pages":"357-407"},"PeriodicalIF":0.0,"publicationDate":"1996-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80616764","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Primitive Auditory Segregation Based on Oscillatory Correlation","authors":"Deliang Wang","doi":"10.1207/s15516709cog2003_3","DOIUrl":"https://doi.org/10.1207/s15516709cog2003_3","url":null,"abstract":"Auditory scene analysis is critical for complex auditory processing. We study auditory segregation from the neural network perspective, and develop a framework for primitive auditory scene analysis. The architecture is a laterally coupled two-dimensional network of relaxation oscillators with a global inhibitor. One dimension represents time and another one represents frequency. We show that this architecture, plus systematic delay lines, can in real time group auditory features into a stream by phase synchrony and segregate different streams by desynchronization. The network demonstrates a set of psychological phenomena regarding primitive auditory scene analysis, including dependency on frequency proximity and the rate of presentation, sequential capturing, and competition among different perceptual organizations. We offer a neurocomputational theory—shifting synchronization theory—for explaining how auditory segregation might be achieved in the brain, and the psychological phenomenon of stream segregation. Possible extensions of the model are discussed.","PeriodicalId":89752,"journal":{"name":"Cognitive sciences","volume":"47 1","pages":"409-456"},"PeriodicalIF":0.0,"publicationDate":"1996-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82137458","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Concept Discovery in a Scientific Domain","authors":"K. Dunbar","doi":"10.1207/s15516709cog1703_3","DOIUrl":"https://doi.org/10.1207/s15516709cog1703_3","url":null,"abstract":"The scientific reasoning strategies used to discover a new concept in a scientific domain were investigated in two studies. An innovative task in which subjects discover new concepts in molecular biology was used. This task was based upon one set of experiments that Jacob and Monod used to discover how genes are controlled, and for which they were awarded the Nobel prize. In the two studies reported in this article, subjects were taught some basic facts and experimental techniques in molecular biology, using a simulated molecular genetics laboratory on a computer. Following their initial training, they were then asked to discover how genes are controlled by other genes. In Study 1, subjects found no evidence that was consistent with their initial hypothesis. Subjects then set one of two goals for conducting experiments and evaluating data. One goal was to search for evidence consistent with the current hypothesis (and they did not attend to the features of discrepant findings); none of the subjects who only had this goal succeeded at discovering how the genes were controlled. Other subjects in Study 1 used a different goal: Upon noticing evidence inconsistent with their current hypothesis, these subjects set a new goal of attempting to explain the cause of the discrepant findings. Using this goal, a subset of these subjects discovered the correct solution to the problem. Study 2 was conducted to test the hypothesis that subjects' goals of finding evidence consistent with their current hypothesis blocks consideration of alternate hypotheses and generation of new goals. It was predicted that if subjects could achieve their initial goal of discovering evidence consistent with their current hypothesis, they would then attend to particular features of discrepant evidence and solve the problem. To test this prediction, an additional mechanism of genetic control that was consistent with subjects' initial goal was added to the genes. Here, subjects had to discover two mechanisms of control: one mechanism consistent with their current hypothesis, and one inconsistent with their hypothesis. Twice as many subjects reached the correct solution in Study 2 than in Study 1. The findings of the two studies indicate that goals provide a powerful constraint on the cognitive processes underlying scientific reasoning and that the types of goals that are represented determine many of the reasoning errors that subjects make.","PeriodicalId":89752,"journal":{"name":"Cognitive sciences","volume":"93 1","pages":"397-434"},"PeriodicalIF":0.0,"publicationDate":"1993-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75431333","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pronouns, Names, and the Centering of Attention in Discourse","authors":"P. Gordon, B. Grosz, L. A. Gilliom","doi":"10.1207/s15516709cog1703_1","DOIUrl":"https://doi.org/10.1207/s15516709cog1703_1","url":null,"abstract":"Centering theory, developed within computational linguistics, provides an account of ways in which patterns of interutterance reference can promote the local coherence of discourse. It states that each utterance in a coherent discourse segment contains a single semantic entity—the backward-looking center—that provides a link to the previous utterance, and an ordered set of entities—the forward-looking centers—that offer potential links to the next utterance. We report five reading-time experiments that test predictions of this theory with respect to the conditions under which it is preferable to realize (refer to) an entity using a pronoun rather than a repeated definite description or name. The experiments show that there is a single backward-looking center that is preferentially realized as a pronoun, and that the backward-looking center is typically realized as the grammatical subject of the utterance. They also provide evidence that there is a set of forward-looking centers that is ranked in terms of prominence, and that a key factor in determining prominence—surface-initial position—does not affect determination of the backward-looking center. This provides evidence for the dissociation of the coherence processes of looking backward and looking forward.","PeriodicalId":89752,"journal":{"name":"Cognitive sciences","volume":"58 1","pages":"311-347"},"PeriodicalIF":0.0,"publicationDate":"1993-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85487120","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Beginnings of Expertise for Ballads","authors":"D. Rubin, Wanda T. Wallace, Barbara C. Houston","doi":"10.1207/s15516709cog1703_4","DOIUrl":"https://doi.org/10.1207/s15516709cog1703_4","url":null,"abstract":"To study the beginning stages of expertise, 14 students, who were inexperienced with ballads, heard and recalled a series of 5 ballads over the course of 5 weeks. Compared with their first recall of the first ballad, their first recall of the fifth ballad had one and a half times as many words, two times as many rhyming words, and three times as much line structure evident in the written recall protocols. Compared with novices, the 14 beginning experts more often filled in blank spaces in novel ballads with words of the correct number of syllables and more often chose the original stanza of a novel ballad that was paired with a changed version of the stanza. The beginning experts were also able to compose, in 20 min, ballads about two thirds as long as the 10-stanza ballads they learned. Thirty characteristics were identified in the set of the five learned ballads. The ballads composed by the beginning experts used over half of these. The beginning experts also explicitly stated about one quarter of these 30 characteristics, but there was no statistical relationship between the characteristics used and the characteristics stated. Memory expertise is viewed as a pervasive aspect of cognition in which people make use of a variety of regularities in the material to be learned.","PeriodicalId":89752,"journal":{"name":"Cognitive sciences","volume":"4 1","pages":"435-462"},"PeriodicalIF":0.0,"publicationDate":"1993-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82093450","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Neural Network Model for Attribute-Based Decision Processes","authors":"M. Usher, D. Zakay","doi":"10.1207/s15516709cog1703_2","DOIUrl":"https://doi.org/10.1207/s15516709cog1703_2","url":null,"abstract":"We propose a neural model of multiattribute-decision processes, based on an attractor neural network with dynamic thresholds. The model may be viewed as a generalization of the elimination by aspects model, whereby simultaneous selection of several aspects is allowed. Depending on the amount of synaptic inhibition, various kinds of scanning strategies may be performed, leading in some cases to vacillations among the alternatives. The model predicts that decisions of a longer time duration exhibit a lower violation of the simple scalability law, as opposed to shorter decisions. Furthermore, the model is suggested as a general attribute-based decision module. Accordingly, various decision strategies are manifested depending on the module's parameters.","PeriodicalId":89752,"journal":{"name":"Cognitive sciences","volume":"31 1","pages":"349-396"},"PeriodicalIF":0.0,"publicationDate":"1993-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74542484","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Planning English Sentences","authors":"D. Appelt","doi":"10.1017/cbo9780511624575","DOIUrl":"https://doi.org/10.1017/cbo9780511624575","url":null,"abstract":"From the Publisher: This book is an investigation into the problems of generating natural language utterances to satisfy specific goals in the speaker's mind. It is thus an ambitious and significant contribution to research on language generation in artificial intelligence.","PeriodicalId":89752,"journal":{"name":"Cognitive sciences","volume":"154 1","pages":"467-483"},"PeriodicalIF":0.0,"publicationDate":"1988-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73445480","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Learning Algorithm for Boltzmann Machines","authors":"D. Ackley, Geoffrey E. Hinton, T. Sejnowski","doi":"10.1016/B978-0-08-051581-6.50053-2","DOIUrl":"https://doi.org/10.1016/B978-0-08-051581-6.50053-2","url":null,"abstract":"","PeriodicalId":89752,"journal":{"name":"Cognitive sciences","volume":"59 1","pages":"147-169"},"PeriodicalIF":0.0,"publicationDate":"1985-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74969365","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Temporal Logic for Reasoning About Processes and Plans","authors":"D. McDermott","doi":"10.1207/s15516709cog0602_1","DOIUrl":"https://doi.org/10.1207/s15516709cog0602_1","url":null,"abstract":"Much previous work in artificial intelligence has neglected representing time in all its complexity. In particular, it has neglected continuous change and the indeterminacy of the future. To rectify this, I have developed a first-order temporal logic, in which it is possible to name and prove things about facts, events, plans, and world histories. In particular, the logic provides analyses of causality, continuous change in quantities, the persistence of facts (the frame problem), and the relationship between tasks and actions. It may be possible to implement a temporal-inference machine based on this logic, which keeps track of several “maps” of a time line, one per possible history.","PeriodicalId":89752,"journal":{"name":"Cognitive sciences","volume":"1 1","pages":"173-216"},"PeriodicalIF":0.0,"publicationDate":"1982-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74632103","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Model of the Time Course and Content of Reading","authors":"R. Thibadeau, M. Just, P. Carpenter","doi":"10.1207/s15516709cog0602_2","DOIUrl":"https://doi.org/10.1207/s15516709cog0602_2","url":null,"abstract":"This paper describes a computer simulation of reading that is strongly driven by eye fixation data from human readers. The simulation, READER, is a natural language understanding system that reads a text word by word and whose processing cycles on each word have some correspondence with the human gaze duration on that word. READER operates within a newly developed information processing architecture, a Collaborative, Activation-based, Production System (CAPS) that permits the modeling of the temporal properties of human comprehension. CAPS allows for concurrent, collaborative execution of processes operating at different levels of analysis. As READER encounters each successive word, the word is operated on by processes at the levels of word encoding, lexical access, syntactic and semantic analysis, and referential and schema-level processes. Like human readers, READER uses a strategy of immediacy of comprehension, attempting to interpret each word as soon as it is encountered, rather than unnecessarily buffering information. A major contribution of this simulation is its use of human performance characteristics in constraining and determining the model's mechanisms.","PeriodicalId":89752,"journal":{"name":"Cognitive sciences","volume":"1 1","pages":"157-203"},"PeriodicalIF":0.0,"publicationDate":"1982-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74680546","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}