Abductive Reasoning with the GPT-4 Language Model: Case studies from criminal investigation, medical practice, scientific research
This work addresses the problem of applying AI to complex reasoning tasks in fields like medicine and criminology, but it is incremental as it builds on existing LLM capabilities without introducing new methods.
The study evaluated GPT-4's abductive reasoning in medical diagnostics, criminology, and cosmology, finding it reliable in generating and selecting hypotheses, which highlights its potential for complex problem-solving.
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.