Reproduce “Machine Common Sense Concept Paper” 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

David Gunning

David Gunning’s 2018 concept paper proposes two routes to machine commonsense: experience-based learning modeled on early child cognition and a Web-based repository for question answering. The first targets expectations about objects, agents, and places; the second may combine manual construction, information extraction, machine learning, and crowdsourcing. The paper reports no completed services or measured results, only research strategies and proposed evaluations.

Summary by alphaXiv.

Tip: change arxiv.org to autoarxiv.org in any arXiv abstract link to open the paper here.