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DIAS: A Domain-Independent Alife-Based Problem-Solving System

arXiv 2203.06855 ↗First posted 14 Mar 2022cs.NE cs.AI cs.LGcited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 3 of its 16 references that are in the map. First posted on arXiv 14 Mar 2022.

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References · 3

  1. 2018Particle Swarm Optimization: A survey of historical and recent developments with hybridization perspectivescited by 5
  2. 2018Theory of Estimation-of-Distribution Algorithmscited by 5
  3. 2018Self-Organization and Artificial Life: A Reviewcited by 3

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