Going Into Greater Depth in the Quest for Hidden Frames

Authors

Abstract

Semantic frames are a fundamental ingredient in computational implementations of Conceptual Blending (CB) theory. Therefore, we may ask the question of how to build them or where to retrieve them. This paper offers a solution which is to explore large-semantic networks for repeating structures resembling frames. We also include a feature the frames could have to give them a sense of completeness. Potential patterns were searched with a Multi-Objective-Evolutionary-Algorithm (MOEA) giving wider and ampler results when compared with a Single-Objective stochastic search.

Subject

Computational Creativity

Conference

International Conference on Computational Creativity 2019

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