Authors: Howard R. Moskowitz, Stephen D. Rappaport, Sharon Wingert, Taylor Mulvey, Petraq Papajorgji, Kenneth Tomaro, Martin Mulvey.
This paper presents a new approach to understanding the mind of people. The approach uses AI (artificial intelligence represented by LLM, large language models) to synthesize how a “mind-set” of similar-thinking individuals would feel in a specific situation. The situation here is defined by the user as pertaining to an 80-year-old person facing the prospect of diabetes. The approach “suggests” to the AI that there are a variety of mind-sets, requesting that AI answer 12 questions about each mind-set. The paper presents the results of this exercise for a variety of these mindsets, and further demonstrates the use of AI to analyze far more deeply the original information generated by AI for one of the mind-sets. The approach is presented as a new tool in the world of science, health, and social issues.
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