论文标题
DIAS：独立于域的基于Alife的问题解决系统
DIAS: A Domain-Independent Alife-Based Problem-Solving System
论文作者
论文摘要
引入了基于人工生命原理的独立于域的问题解决系统。在此系统中，DIAS，域的输入和输出尺寸在空间介质中布置。一群参与者（每个人都看到这种媒介的一部分）在其中共同解决了问题。该过程独立于域，可以通过不同种类的参与者实施。通过一组在各种问题领域的实验，DIAS能够解决具有不同维度和复杂性的问题，不需要针对新问题进行超参数调整，并且可以表现出终身学习，即迅速适应问题域中的运行时间变化，并比标准非倾向方法更好地适应问题。因此，DIA证明了Alife在构建可扩展，一般和自适应问题解决系统中的作用。
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.
