Towards Reframing Codenames for Computational Modelling and Creativity Support Using Associative Creativity Principles
Zunjani, Faheem Hassan; Olteteanu, Ana-Maria – 2019
Using games to model, measure and increase creativity in children and adults would be a very engaging path to social impact and empirical progress. This paper proposes an approach to reframe the new and popular board game Codenames using associative creativity principles. The Remote Associates Test (RAT) is a test measuring creativity as a function of associative ability. comRAT-C is a previous computational cognitive system that can solve the RAT using associative and convergence principles. In this paper, we formalise Codenames using associative principles from comRAT-C. A way to computationally model and measure the difficulty of Codenames is proposed. We discuss whether Codenames or a future variant of it can be used in creativity research.
author = {Zunjani, Faheem Hassan and Olteteanu, Ana-Maria},
title = {Towards Reframing Codenames for Computational Modelling and Creativity Support Using Associative Creativity Principles},
year = {2019},
isbn = {9781450359177},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3325480.3325510},
doi = {10.1145/3325480.3325510},
pages = {407–413},
numpages = {7},
keywords = {games, creative cognition, computational modelling, cognitive ai systems, creativity},
location = {San Diego, CA, USA},
series = {C&C '19}
}