Computing contrast on conceptual spaces
| Authors |
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|---|---|
| Publication date | 2019 |
| Host editors |
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| Book title | Proceedings of the 6th International Workshop on Artificial Intelligence and Cognition |
| Book subtitle | Palermo, Italy, July 2-4, 2018 |
| Series | CEUR Workshop Proceedings |
| Event | 6th International Workshop on Artificial Intelligence and Cognition, AIC 2018 |
| Pages (from-to) | 11-25 |
| Number of pages | 15 |
| Publisher | Aachen: CEUR-WS |
| Organisations |
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| Abstract |
This paper provides an updated formalization of the operation of contrast, and shows that, by applying it on conceptual spaces, membership functions to categories as e.g. those captured by adjectives or directional relationships emerge as a natural by-product. Because the outcome of contrast depends not only on the objects contrasted (a target and a reference, as for instance a prototype), but also on the frame in which those are contained, it is argued that contrast enables a continuous contextualization, offering a basis for “on the fly” predication. This investigation is used for inferring general requirements for the application of contrast and its generalization, and for comparison with current practices in the conceptual space literature. |
| Document type | Conference contribution |
| Language | English |
| Published at | http://ceur-ws.org/Vol-2418/paper2.pdf |
| Other links | http://ceur-ws.org/Vol-2418 https://www.scopus.com/pages/publications/85071291022 |
| Downloads |
paper2
(Final published version)
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| Permalink to this page | |
