Editing Commonsense reasoning (section)

== Approaches and techniques ==
Commonsense's reasoning study is divided into knowledge-based approaches and approaches that are based on [[machine learning]] over and using a large data corpora with limited interactions between these two types of approaches.{{citation needed|date=February 2021}} There are also [[crowdsourcing]] approaches, attempting to construct a knowledge basis by linking the collective knowledge and the input of non-expert people. Knowledge-based approaches can be separated into approaches based on mathematical logic.{{citation needed|date=February 2021}}

In knowledge-based approaches, the experts are analyzing the characteristics of the inferences that are required to do reasoning in a specific area or for a certain task. The knowledge-based approaches consist of mathematically grounded approaches, informal knowledge-based approaches and large-scale approaches. The mathematically grounded approaches are purely theoretical and the result is a printed paper instead of a program. The work is limited to the range of the domains and the reasoning techniques that are being reflected on. In informal knowledge-based approaches, theories of reasoning are based on anecdotal data and intuition that are results from empirical behavioral psychology. Informal approaches are common in computer programming. Two other popular techniques for extracting commonsense knowledge from Web documents involve [[Web mining]] and [[Crowd sourcing]].

COMET (2019), which uses both the [[OpenAI]] [[GPT-3|GPT]] language model architecture and existing commonsense knowledge bases such as [[ConceptNet]], claims to generate commonsense inferences at a level approaching human benchmarks. Like many other current efforts, COMET over-relies on surface language patterns and is judged to lack deep human-level understanding of many commonsense concepts. Other language-model approaches include training on visual scenes rather than just text, and training on textual descriptions of scenarios involving commonsense physics.<ref name=quanta>{{cite news |last1=Pavlus |first1=John |title=Common Sense Comes to Computers |url=https://www.quantamagazine.org/common-sense-comes-to-computers-20200430/ |access-date=3 May 2020 |work=Quanta Magazine |date=30 April 2020 |language=en}}</ref><ref>Bosselut, Antoine, et al. "Comet: Commonsense transformers for automatic knowledge graph construction." arXiv preprint arXiv:1906.05317 (2019).</ref>