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Relational Reasoning in a Neurally Plausible Cognitive Architecture : An Overview of the LISA Project
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spelling Hummel, John E. Holyoak, Keith J. 0963-7214 1467-8721 SAGE Publications General Psychology http://dx.doi.org/10.1111/j.0963-7214.2005.00350.x <jats:p>Human mental representations are both flexible and structured—properties that, together, present challenging design requirements for a model of human thinking. The Learning and Inference with Schemas and Analogies (LISA) model of analogical reasoning aims to achieve these properties within a neural network. The model represents both relations and objects as patterns of activation distributed over semantic units, integrating these representations into propositional structures using synchrony of firing. The resulting propositional structures serve as a natural basis for memory retrieval, analogical mapping, analogical inference, and schema induction. The model also provides an a priori account of the limitations of human working memory and can simulate the effects of various kinds of brain damage on thinking.</jats:p> An Overview of the LISA Project Relational Reasoning in a Neurally Plausible Cognitive Architecture : An Overview of the LISA Project Current Directions in Psychological Science
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title_sub An Overview of the LISA Project
title Relational Reasoning in a Neurally Plausible Cognitive Architecture : An Overview of the LISA Project
title_unstemmed Relational Reasoning in a Neurally Plausible Cognitive Architecture : An Overview of the LISA Project
title_full Relational Reasoning in a Neurally Plausible Cognitive Architecture : An Overview of the LISA Project
title_fullStr Relational Reasoning in a Neurally Plausible Cognitive Architecture : An Overview of the LISA Project
title_full_unstemmed Relational Reasoning in a Neurally Plausible Cognitive Architecture : An Overview of the LISA Project
title_short Relational Reasoning in a Neurally Plausible Cognitive Architecture : An Overview of the LISA Project
title_sort relational reasoning in a neurally plausible cognitive architecture : an overview of the lisa project
topic General Psychology
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description <jats:p>Human mental representations are both flexible and structured—properties that, together, present challenging design requirements for a model of human thinking. The Learning and Inference with Schemas and Analogies (LISA) model of analogical reasoning aims to achieve these properties within a neural network. The model represents both relations and objects as patterns of activation distributed over semantic units, integrating these representations into propositional structures using synchrony of firing. The resulting propositional structures serve as a natural basis for memory retrieval, analogical mapping, analogical inference, and schema induction. The model also provides an a priori account of the limitations of human working memory and can simulate the effects of various kinds of brain damage on thinking.</jats:p>
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spelling Hummel, John E. Holyoak, Keith J. 0963-7214 1467-8721 SAGE Publications General Psychology http://dx.doi.org/10.1111/j.0963-7214.2005.00350.x <jats:p>Human mental representations are both flexible and structured—properties that, together, present challenging design requirements for a model of human thinking. The Learning and Inference with Schemas and Analogies (LISA) model of analogical reasoning aims to achieve these properties within a neural network. The model represents both relations and objects as patterns of activation distributed over semantic units, integrating these representations into propositional structures using synchrony of firing. The resulting propositional structures serve as a natural basis for memory retrieval, analogical mapping, analogical inference, and schema induction. The model also provides an a priori account of the limitations of human working memory and can simulate the effects of various kinds of brain damage on thinking.</jats:p> An Overview of the LISA Project Relational Reasoning in a Neurally Plausible Cognitive Architecture : An Overview of the LISA Project Current Directions in Psychological Science
spellingShingle Hummel, John E., Holyoak, Keith J., Current Directions in Psychological Science, Relational Reasoning in a Neurally Plausible Cognitive Architecture : An Overview of the LISA Project, General Psychology
title Relational Reasoning in a Neurally Plausible Cognitive Architecture : An Overview of the LISA Project
title_full Relational Reasoning in a Neurally Plausible Cognitive Architecture : An Overview of the LISA Project
title_fullStr Relational Reasoning in a Neurally Plausible Cognitive Architecture : An Overview of the LISA Project
title_full_unstemmed Relational Reasoning in a Neurally Plausible Cognitive Architecture : An Overview of the LISA Project
title_short Relational Reasoning in a Neurally Plausible Cognitive Architecture : An Overview of the LISA Project
title_sort relational reasoning in a neurally plausible cognitive architecture : an overview of the lisa project
title_sub An Overview of the LISA Project
title_unstemmed Relational Reasoning in a Neurally Plausible Cognitive Architecture : An Overview of the LISA Project
topic General Psychology
url http://dx.doi.org/10.1111/j.0963-7214.2005.00350.x