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
Acquiring and Representing Meaning. Theoretical and Computational Perspectives
LENCI, ALESSANDRO;
2006-01-01
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, etcI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
