1 citations · 1 across the 3 of their papers we have counts for
3 papers
Less is More: some Computational Principles based on Parcimony, and Limitations of Natural Intelligence
Laura Cohen, Xavier Hinaut, Lilyana Petrova +3
Natural intelligence (NI) consistently achieves more with less. Infants learn language, develop abstract concepts, and acquire sensorimotor skills from sparse data, all within tigh…
Human-Robot Mutual Learning through Affective-Linguistic Interaction and Differential Outcomes Training [Pre-Print]
Emilia Heikkinen, Elsa Silvennoinen, Imran Khan +4
Owing to the recent success of Large Language Models, Modern A.I has been much focused on linguistic interactions with humans but less focused on non-linguistic forms of communicat…
A Human-Robot Mutual Learning System with Affect-Grounded Language Acquisition and Differential Outcomes Training
Alva Markelius, Sofia Sjöberg, Zakaria Lemhauori +4
This paper presents a novel human-robot interaction setup for robot and human learning of symbolic language for identifying robot homeostatic needs. The robot and human learn to us…