DIAS: A Domain-Independent Alife-Based Problem-Solving System
March 14, 2022 ยท Declared Dead ยท ๐ The 2022 Conference on Artificial Life
"No code URL or promise found in abstract"
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Authors
Babak Hodjat, Hormoz Shahrzad, Risto Miikkulainen
arXiv ID
2203.06855
Category
cs.NE: Neural & Evolutionary
Cross-listed
cs.AI,
cs.LG,
cs.MA
Citations
0
Venue
The 2022 Conference on Artificial Life
Last Checked
4 months ago
Abstract
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.
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