A domain-independent problem-solving system based on principles of Artificial Life is introduced. In this system, DIAS, the input and output dimensions of the domain are laid out in a spatial medium. A population of actors, each seeing only part of this medium, solves problems collectively in it. The process is independent of the domain and can be implemented through different kinds of actors. Through a set of experiments on various problem domains, DIAS is shown able to solve problems with different dimensionality and complexity, to require no hyperparameter tuning for new problems, and to exhibit lifelong learning, i.e. adapt rapidly to run-time changes in the problem domain, and do it better than a standard non-collective approach. DIAS therefore demonstrates a role for Alife in building scalable, general, and adaptive problem-solving systems.

PDF

In Proceedings of the 2022 Conference on Artificial Life, 2022.

@inproceedings{hodjat:alife22, title={DIAS: A Domain-Independent Alife-Based Problem-Solving System}, author={Babak Hodjat and Hormoz Shahrzad and Risto Miikkulainen}, booktitle={Proceedings of the 2022 Conference on Artificial Life}, month={ }, url="http://nn.cs.utexas.edu/?hodjat:alife22", year={2022} }