Deducing Food Preferences for Fronto-dementia Sufferers: What Might be Discovered Using Mind Genomics Thinking Incorporated into Artificial Intelligence

This paper presents a novel approach to understanding how to learn about food preferences of people who cannot communicate due to advanced FTD (Fronto-temporal dementia).The approach combines Mind Genomics discoveries of mind-sets in the world of everyday experience with the power of AI, artificial intelligence (Socrates as a Service).The paper shows how to present AI with the appropriate queries in the Mind Genomics platform (bimileap.com).The queries suggests to AI the existence of basic mind-sets for food preference, but do not specify the nature of such mind-sets.The queries allow the user to learn about different types of such preference mind-sets, as well as how to observe the behavior of FTD sufferers, and deduce their preference.The approach is presented as a new way to learn the practicalities of caring for patients, a way that can be customized to the user and to the issued being confronted and requiring a practical solution.