Mexico

description logic

noun-noun combination

computational conceptual blending

### **Welcome to the Twelfth International Conference on Computational Creativity, ICCC’21!**

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Computational creativity is an interdisciplinary endeavor that is located at the intersection of the fields of artificial intelligence, cognitive psychology, philosophy, social sciences and the arts. The goal of computational creativity is to model, simulate or replicate creativity using a computer, to achieve one of several ends:

* to construct a program or computer capable of showing some level of creativity
* to better understand human creativity and to formulate an algorithmic perspective on creative behavior in humans
* to design programs that can enhance human creativity without necessarily being creative themselves

<br>The ICCC conference series organized by the [**Association for Computational Creativity**](https://computationalcreativity.net/) since 2010 is the only scientific conference that focuses on computational creativity alone and also covers all aspects of it.



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ICCC'21

Welcome to the Twelfth International Conference on Computational Creativity, ICCC’21!

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 bi- directional 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.

S5 - Deciphering The Cookie Monster: A case study in impossible combinations

technical paper

K1 - ML Design for Creative Pursuits

L1 - Witscript: A System for Generating Improvised Jokes in a
Conversation

L3 - Exploring a Masked Language Model for Creative TextTransformation

S1 - Computational filling of curatorial gaps in a fine arts exhibition

S2 - Framing through Music: A Pilot Study

S3 - Visual Conceptual Blending with Large-scale Language and Vision Models

S4 - What Does it Take to Cross the Aesthetic Gap? The Development of Image Aesthetic Quality Assessment in Computer Vision

L4 - MuSyFI - Music Synthesis From Images

L5 - Supporting Computational Music Remixing with a Co-Creative Learning Companion

L6 - LyricJam: A system for generating lyrics for live instrumental music

https://assets.underline.io/transcript/21631/subtitle/3f87ee8ea74d29cd55905eb4fabe45e5.vtt

English (automatic)

S5 - Deciphering The Cookie Monster: A case study in impossible combinations

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K1 - ML Design for Creative Pursuits

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L6 - LyricJam: A system for generating lyrics for live instrumental music