Optimality Principles in Computational Approaches to Conceptual Blending: Do We Need Them (at) All?

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Pedro Martins, Senja Pollak, Tanja Urbancic and Amilcar Cardoso: Optimality Principles in Computational Approaches to Conceptual Blending: Do We Need Them (at) All? In: Computational Creativity 2016 ICCC 2016, 346-353



Optimality principles are a key element in the Conceptual Blending (CB) framework, as they are responsible for guiding the integration process towards ‘good blends’. Despite their relevance, these principles are often overlooked in the design of computational models of CB. In this paper, we analyse the explicit or implicit presence and relevance of the optimality principles in three different computational approaches to the CB, known from the literature. The approaches chosen for the analysis are Divago, Blending from a generalisationbased analogy model, and blending as a convolution of neural patterns. The analysis contains a discussion on the relevance of the principles and how some of absent principles can be introduced in the different models.

Extended Abstract


 author = {Pedro Martins, Senja Pollak, Tanja Urbancic and Amilcar Cardoso},
 title = {Optimality Principles in Computational Approaches to Conceptual Blending: Do We Need Them (at) All?},
 booktitle = {Proceedings of the Seventh International Conference on Computational Creativity},
 series = {ICCC2016},
 year = {2016},
 month = {Jun-July},
 location = {Paris, France},
 pages = {346-353},
 url = {http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/Optimality-Principles-in-Computational-Approaches-to-Conceptual-Blending.pdf http://de.evo-art.org/index.php?title=Optimality_Principles_in_Computational_Approaches_to_Conceptual_Blending:_Do_We_Need_Them_(at)_All%3F },
 publisher = {Sony CSL Paris},

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