| 1. |
- Hedblom, Maria M., et al.
(author)
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Deciphering The Cookie Monster : A case study in impossible combinations
- 2021
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In: Proceedings of the 12th International Conference on Computational Creativity, ICCC 2021. - : Association for Computational Creativity (ACC). - 9789895416035 ; , s. 222-226
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Conference paper (peer-reviewed)abstract
- In conceptual blending, the transfer of properties from the input spaces relies on a shared semantic base. At the same time, interesting blends are supposed to resolve deep semantic clashes where many concept combinations correspond to impossible blends, i.e. blends whose input spaces lack any obvious similarities. Instead of a shared structure, the blends are based on bidirectional affordance structures. While humans can easily map this information, computational systems for creative constructions require an understanding of how these features relate to one another. In this paper, we discuss this problem from the perspective of linguistics and computational blending and propose a method combining theory weakening and semantic prioritisation. To demonstrate the problem space, we look at the Sesame Street character ‘The Cookie Monster’ and formalise the blending process using description logic.
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| 2. |
- Righetti, Guendalina, et al.
(author)
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Asymmetric Hybrids : Dialogues for Computational Concept Combination
- 2021
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In: Formal Ontology in Information Systems. - : IOS Press. - 9781643682488 - 9781643682495 ; , s. 81-96
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Conference paper (peer-reviewed)abstract
- When people combine concepts these are often characterisedas “hybrid”, “impossible”, or “humorous”. However, when simplyconsidering them in terms of extensional logic, the novel conceptsunderstood as a conjunctive concept will often lack meaning having anempty extension (consider “a tooth that is a chair”, “a pet flower”,etc.). Still, people use different strategies to produce new non-emptyconcepts: additive or integrative combination of features, alignment offeatures, instantiation, etc. All these strategies involve the ability to dealwith conflicting attributes and the creation of new (combinations of)properties. We here consider in particular the case where a Head concepthas superior ‘asymmetric’ control over steering the resulting conceptcombination (or hybridisation) with a Modifier concept. Specifically, wepropose a dialogical approach to concept combination and discuss animplementation based on axiom weakening, which models the cognitiveand logical mechanics of this asymmetric form of hybridisation.
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