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Relational Reasoning in a Neurally Plausible Cognitive Architecture : An Overview of the LISA Project: An Overview of the LISA Project
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Zeitschriftentitel: | Current Directions in Psychological Science |
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Personen und Körperschaften: | , |
In: | Current Directions in Psychological Science, 14, 2005, 3, S. 153-157 |
Format: | E-Article |
Sprache: | Englisch |
veröffentlicht: |
SAGE Publications
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Schlagwörter: |
author_facet |
Hummel, John E. Holyoak, Keith J. Hummel, John E. Holyoak, Keith J. |
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author |
Hummel, John E. Holyoak, Keith J. |
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 |
author_sort |
hummel, john e. |
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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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 |
url |
http://dx.doi.org/10.1111/j.0963-7214.2005.00350.x |
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2005 |
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153-157 |
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<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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author | Hummel, John E., Holyoak, Keith J. |
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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 |