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.

Deciphering The Cookie Monster: A case study in impossible combinations

**Title:** Deciphering The Cookie Monster: A case study in impossible combinations 
**Presenters:** Maria Hedblom, Guendalina Righetti and Oliver Kutz 
**Title:** Producing creative chess through chess engine selfplay 
**Presenter:** Wolf De Wulf 
**Title:** Meta-Evaluating Quantitative Internal Evaluation: a Practical Approach for Developers 
**Presenters:** Filippo Carnovalini, Nicholas Harley, Steven T. Homer, Antonio Roda and Geraint A. Wiggins 
**Title:** Should Machines Evaluate Us? Opportunities and Challenges 
**Presenters:** Kuakou Bossou and Maya Ackerman 
**Title:** Software Design Patterns of Computational Creativity: A Systematic Mapping Study 
**Presenters:** Porter Glines, Isaac Griffith and Paul Bodily

Theory & Practice 

technical paper

### **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

 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.

To access the Twelfth International Conference on Computational Creativity, ICCC’21, you need to register for the conference.  Instructions on how to access the event will be provided directly to attendees and included on the Twelfth International Conference on Computational Creativity, ICCC’21 conference website. 

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Welcome to the Twelfth International Conference on Computational Creativity, ICCC’21!

Guendalina Righetti

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Deciphering The Cookie Monster: A case study in impossible combinations

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