We propose a novel problem solving algorithm called BIPLEX that involves hypothesis generation, experimentation, and outcome observation as part of the search for solutions. We introduce BIPLEX through various examples in a baking domain that demonstrate important features of the framework, including its representation of objects in terms of properties, as well its ability to interleave planning for experimentation and outcome evaluation when execution impasses are detected, which can lead to novel solution paths.
@inproceedings{sarathyscheutz22iccc,
title={BIPLEX: Creative Problem-Solving by Planning for Experimentation},
author={Vasanth Sarathy and Matthias Scheutz},
year={2022},
booktitle={13th International Conference on Computational Creativity},
url={https://hrilab.tufts.edu/publications/sarathyscheutz22iccc.pdf}
}