Abductive Reasoning with the GPT-4 Language Model: Case studies from criminal investigation, medical practice, scientific research

This study evaluates the GPT-4 Large Language Model's abductive reasoning in complex fields like medical diagnostics, criminology, and cosmology. Using an interactive interview format, the AI assistant demonstrated reliability in generating and selecting hypotheses. It inferred plausible medical diagnoses based on patient data and provided potential causes and explanations in criminology and cosmology. The results highlight the potential of LLMs in complex problem-solving and the need for further research to maximize their practical applications.Comment: The article is 12 pages long and has one figure. It also includes a link to some ChatGPT dialogues that show the experiments that support the article's findings. The article will be published in V. Bambini and C. Barattieri di San Pietro (eds.), Sistemi Intelligenti, Special Section "Multidisciplinary perspectives on ChatGPT and the family of Large Language Models