Talk: Stefania Centrone (TUM) & Cosimo Perini Brogi (Lucca)

Title:

Machine Translation, Problem Solving and Pattern Recognition. Early Criticism Revisited

Abstract:

Dreyfus’s What Computers Can’t Do questions the foundational ideas of early artificial intelligence research. Challenging the prevailing orthodoxy, Dreyfus posits that the failure to manifest advancements in areas like language translation and problem-solving stems from a foundational misalignment with the intricacies of human “information processing”. This paper revisits these challenges drawing on the notable progress shown by contemporary AI-driven systems – in translation, problem-solving, and pattern recognition – read through the lens of Husserl’s Logical Investigations, Pólya’s explaination of heristic processes, and Wittgenstein’s thesis of meaning-as-use.