Reproduce “Networked AI: Architecture, Theory, and Applications” on OpenResearch
Turn your favorite coding agents into research agents that review literature, develop hypotheses, and run experiments.
Universal app for Apple silicon and Intel. Requires macOS 11 or later.
About this paper
Liang Song, Jiayue Jin, Peng Sun, Di Li, Yang Liu, Athanassios Skodras, Dimitris Ampeliotis, Yong Yuan and 4 more
The authors propose Networked AI, in which heterogeneous agents exchange local information, detect prediction-observation discrepancies, and update affected components under a regulation layer. In simulated grid-world navigation with unfamiliar obstacles, fitted total FLOPs to convergence increased about 8.03× from 2 to 6 agents for standalone AI and 1.37× for Networked AI; this comparison covers only tested configurations.
Summary by alphaXiv.
Tip: change arxiv.org to autoarxiv.org in any arXiv abstract link to open the paper here.