Séminaires du DIC

Titre : Rethinking the Physical Symbol Systems Hypothesis Résumé : It is now more than a half-century since the Physical Symbol Systems Hypothesis (PSSH) was first articulated as an empirical hypothesis.  More recent evidence from work with neural networks and cognitive architectures has weakened it, but it has not yet been replaced in any satisfactory manner.  Based […]

Titre : Symbols and Grounding in LLMs Résumé : Large language models (LLMs) appear to exhibit human-level abilities on a range of tasks, yet they are notoriously considered to be "black boxes", and little is known about the internal representations and mechanisms that underlie their behavior. This talk will discuss recent work which seeks to illuminate the […]

Dave CHALMERS – 28 septembre 2023 Titre : From the History of Philosophy to AI: Does Thinking Require Sensing? Résumé : There has recently been widespread discussion of whether large language models might be sentient or conscious. Should we take this idea seriously? I will discuss the underlying issue and will break down the strongest reasons for […]

Dimitri COELHO MOLLO – 21 septembre 2023 Titre : Grounding in Large Language Models: lessons for building functional ontologies for AI Résumé : My aim in this talk is twofold. First, I will rehearse the arguments, in joint work with Raphaël Millière, that motivate the claim that language grounding (but not language understanding) is possible, and in […]

Benjamin BERGEN – 14 septembre 2023 Titre : LLMs are impressive but we still need grounding to explain human cognition RÉSUMÉ : Human cognitive capacities are often explained as resulting from grounded, embodied, or situated learning. But Large Language Models, which only learn on the basis of word co-occurrence statistics, now rival human performance in a variety […]

Ron SUN – 27 avril 2023 Titre : Cognitive architectures and the crucial role of motivation: Linking intrinsic needs, goals, effort, and performance Résumé : Motivation is a crucially important aspect of human psychology. But “motivation” can denote a number of different things. Effects of motivation on cognition and performance have been found empirically in different fields, […]