Artificial intelligence often struggles with the ambiguity, nuance, and shifting context that defines human reasoning. Fuzzy logic offers an alternative, by modelling meaning in degrees rather than absolutes.

In this roundtable episode, ResearchPod speaks with Professors Edy Portmann, Irina Perfilieva, Vilem Novak, Cristina Puente, and José María Alonso about how fuzzy systems capture perception, language, social cues, and uncertainty. 

Their insights contribute to the upcoming FMsquare Foundation booklet on fuzzy logic, exploring the role of uncertainty-aware reasoning in the future of AI.

You can read the previous booklet from this series here: Fuzzy Design-Science Research

You can listen to previous fuzzy podcasts here: fmsquare.org