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Fuzzy Logic and the Human Side of Artificial Intelligence

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Manage episode 518167136 series 3485398
Content provided by ResearchPod. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by ResearchPod or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

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

  continue reading

492 episodes

Artwork
iconShare
 
Manage episode 518167136 series 3485398
Content provided by ResearchPod. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by ResearchPod or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

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

  continue reading

492 episodes

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