From Semantic Memory to Semantic Content
| Autor: | Henk Zeevat |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
business.industry
Computer science 05 social sciences computer.software_genre 050105 experimental psychology 03 medical and health sciences 0302 clinical medicine Semantic memory Natural (music) 0501 psychology and cognitive sciences Artificial intelligence Content (Freudian dream analysis) business computer 030217 neurology & neurosurgery Natural language processing |
| Zdroj: | Lecture Notes in Computer Science ISBN: 9783662595640 TbiLLC |
| DOI: | 10.1007/978-3-662-59565-7_16 |
| Popis: | Barsalou (1992), Lobner (2014, 2015) hypothesise that frames form the natural way in which the brain represents concepts and more complicated semantic content built from concepts. An interesting aspect of the hypothesis is that it becomes easy to define stochastic properties of concepts. Particular frames can be seen as a collection of stochastic variables. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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