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EnglishModelling the way word meanings dynamically function and combine in communicative contexts, evolve through learning and are categorised through high-level semantic classes presents one of the most di±cult challenges for cognitive science, and is a large stumbling block on the way to developing advanced arti¯cial systems for full text understanding. The problem of the form of semantic knowledge typically presents itself as a representation issue: i.e. what is the aptest way of representing the meaning of words and of the complex expressions they enter into? Pro- viding satisfactory answers to these questions is an essential requirement for explaining the e®ective use of semantic knowledge in concrete cog- nitive abilities. This is extremely important also in an engineering and computational perspective, as a key to a deeper understanding of the constructive principles underpinning the design of intelligent artifacts like robots and other arti¯cial intelligent agents. Similarly, the issue of semantic dynamics has a crucial role in modelling human cognition, since cognitive agents constantly update and revise their knowledge, ac- quire new words, assign new meanings to already known words, etc
| Titolo: | Acquiring and Representing Meaning. Theoretical and Computational Perspectives | |
| Autori: | LENCI A.; MONTEMAGNI S.; PIRRELLI V. | |
| Autori interni: | ||
| Anno del prodotto: | 2006 | |
| Abstract: | Modelling the way word meanings dynamically function and combine in communicative contexts, evolve through learning and are categorised through high-level semantic classes presents one of the most di±cult challenges for cognitive science, and is a large stumbling block on the way to developing advanced arti¯cial systems for full text understanding. The problem of the form of semantic knowledge typically presents itself as a representation issue: i.e. what is the aptest way of representing the meaning of words and of the complex expressions they enter into? Pro- viding satisfactory answers to these questions is an essential requirement for explaining the e®ective use of semantic knowledge in concrete cog- nitive abilities. This is extremely important also in an engineering and computational perspective, as a key to a deeper understanding of the constructive principles underpinning the design of intelligent artifacts like robots and other arti¯cial intelligent agents. Similarly, the issue of semantic dynamics has a crucial role in modelling human cognition, since cognitive agents constantly update and revise their knowledge, ac- quire new words, assign new meanings to already known words, etc | |
| Appare nelle tipologie: | 2.1 Contributo in volume (Capitolo o Saggio) |
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