193 citations · 211 across the 9 of their papers we have counts for
9 papers · 1 filter
Consciousness in Artificial Intelligence: Insights from the Science of Consciousness
Patrick Butlin, Robert Long, Eric Elmoznino +16
Whether current or near-term AI systems could be conscious is a topic of scientific interest and increasing public concern. This report argues for, and exemplifies, a rigorous and…
Logical Tasks for Measuring Extrapolation and Rule Comprehension
Ippei Fujisawa, Ryota Kanai
Logical reasoning is essential in a variety of human activities. A representative example of a logical task is mathematics. Recent large-scale models trained on large datasets have…
Experimental Evidence that Empowerment May Drive Exploration in Sparse-Reward Environments
Francesco Massari, Martin Biehl, Lisa Meeden +1
Reinforcement Learning (RL) is known to be often unsuccessful in environments with sparse extrinsic rewards. A possible countermeasure is to endow RL agents with an intrinsic rewar…
Deep Learning and the Global Workspace Theory
Rufin VanRullen, Ryota Kanai
Recent advances in deep learning have allowed Artificial Intelligence (AI) to reach near human-level performance in many sensory, perceptual, linguistic or cognitive tasks. There i…
A unified strategy for implementing curiosity and empowerment driven reinforcement learning
Ildefons Magrans de Abril, Ryota Kanai
Although there are many approaches to implement intrinsically motivated artificial agents, the combined usage of multiple intrinsic drives remains still a relatively unexplored res…
Boredom-driven curious learning by Homeo-Heterostatic Value Gradients
Yen Yu, Acer Y. C. Chang, Ryota Kanai
This paper presents the Homeo-Heterostatic Value Gradients (HHVG) algorithm as a formal account on the constructive interplay between boredom and curiosity which gives rise to effe…