An Epigenetic Approach to Semantic Categories
(2020) In IEEE Transactions on Cognitive and Developmental Systems 12(2). p.139-147- Abstract
It is argued that early language learning in children emerges from five primary knowledge structures: Space, objects, actions, number and events. These structures constitute the basis for the semantic domains that are used to form categories that represent the meanings of early words. The domains are naturally modeled in conceptual spaces that are based on geometric notions rather than on symbolic representations. It is shown how these semantics domains can be used to generate an epigenetic model of language acquisition. The four first primary knowledge systems are used for prepositions, nouns, verbs and quantifiers respectively, while events form the meanings of declarative sentences. This semantic model leads to direct recommendations... (More)
It is argued that early language learning in children emerges from five primary knowledge structures: Space, objects, actions, number and events. These structures constitute the basis for the semantic domains that are used to form categories that represent the meanings of early words. The domains are naturally modeled in conceptual spaces that are based on geometric notions rather than on symbolic representations. It is shown how these semantics domains can be used to generate an epigenetic model of language acquisition. The four first primary knowledge systems are used for prepositions, nouns, verbs and quantifiers respectively, while events form the meanings of declarative sentences. This semantic model leads to direct recommendations for how the model can be implemented in robots and other artificial systems.
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- author
- Gardenfors, Peter LU
- organization
- publishing date
- 2020-06
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Cognition, Force, knowledge representation, language learning, Legged locomotion, robots, Semantics, semantics., Shape, Syntactics
- in
- IEEE Transactions on Cognitive and Developmental Systems
- volume
- 12
- issue
- 2
- pages
- 9 pages
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- external identifiers
-
- scopus:85046486376
- ISSN
- 2379-8920
- DOI
- 10.1109/TCDS.2018.2833387
- project
- Thinking in Time: Cognition, Communication and Learning
- language
- English
- LU publication?
- yes
- id
- 22c370c1-39cd-4860-a7e5-484098b6f6fe
- date added to LUP
- 2018-05-15 13:11:49
- date last changed
- 2022-04-25 07:14:41
@article{22c370c1-39cd-4860-a7e5-484098b6f6fe,
abstract = {{<p>It is argued that early language learning in children emerges from five primary knowledge structures: Space, objects, actions, number and events. These structures constitute the basis for the semantic domains that are used to form categories that represent the meanings of early words. The domains are naturally modeled in conceptual spaces that are based on geometric notions rather than on symbolic representations. It is shown how these semantics domains can be used to generate an epigenetic model of language acquisition. The four first primary knowledge systems are used for prepositions, nouns, verbs and quantifiers respectively, while events form the meanings of declarative sentences. This semantic model leads to direct recommendations for how the model can be implemented in robots and other artificial systems.</p>}},
author = {{Gardenfors, Peter}},
issn = {{2379-8920}},
keywords = {{Cognition; Force; knowledge representation; language learning; Legged locomotion; robots; Semantics; semantics.; Shape; Syntactics}},
language = {{eng}},
number = {{2}},
pages = {{139--147}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
series = {{IEEE Transactions on Cognitive and Developmental Systems}},
title = {{An Epigenetic Approach to Semantic Categories}},
url = {{http://dx.doi.org/10.1109/TCDS.2018.2833387}},
doi = {{10.1109/TCDS.2018.2833387}},
volume = {{12}},
year = {{2020}},
}