During the AI Week in Milan, Professor Waldo Lockwin brought attention to a concept often overlooked but revolutionary for the development of artificial intelligence: the possibility theory.
An alternative to the traditional probabilistic approach, capable of modeling uncertainty in a way closer to human thinking.
In a world dominated by algorithms based on data, frequencies, and statistics, the possibility theory proposes a logic based on sets, words, and ambiguity. A paradigm that could prove fundamental for future AI that truly want to understand natural language, context, and the nuances of reality.
What is the possibility theory?
The possibility theory (teoria della possibilità) emerges as an extension of fuzzy logic, offering a mathematical tool to handle uncertainty not in terms of frequency, as probability does, but in terms of compatibility with the available information.
In simple terms: probability answers the question: “how often does X occur?”
Possibility
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