@inproceedings{1e0a92329cee4381a0d27432924c53bb,
title = "Computational creativity for valid Rube Goldberg Machines",
abstract = "Laboratory activity is an indispensable part of science and engineering education. To develop children{\textquoteright}s interest in science and engineering, we want to create hands-on activities using artificial intelligence. In this paper, we first describe the use of case-based reasoning (CBR) and an existing knowledge base to yield a combinatorial design space for experiments. We then apply automated planning techniques to generate experiment procedures. We further use functional modeling to represent the experiment devices and demonstrate how that representation enables the planner to generate a valid Rube Goldberg Machine. Finally, a semantic similarity metric is proposed to evaluate the quality of a generated chain of experiments.",
author = "Xiou Ge and Jinjun Xiong and Varshney, {Lav R.}",
note = "Funding Information: This work was funded in part by the IBM-Illinois Center for Cognitive Computing Systems Research (C3SR), a research collaboration as part of the IBM AI Horizons Network. We thank H. Gong and T. Sakakini for pointing us to the science domain wiki corpus used for the word2vec model. Publisher Copyright: {\textcopyright} ICCC 2018.All rights reserved. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 9th International Conference on Computational Creativity, ICCC 2018 ; Conference date: 25-06-2018 Through 29-06-2018",
year = "2018",
language = "English (US)",
series = "Proceedings of the 9th International Conference on Computational Creativity, ICCC 2018",
publisher = "Association for Computational Creativity (ACC)",
pages = "72--79",
editor = "Francois Pachet and Anna Jordanous and Carlos Leon",
booktitle = "Proceedings of the 9th International Conference on Computational Creativity, ICCC 2018",
}