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08/17/2023
Consciousness in Artificial Intelligence: Insights from the Science of Consciousness
Whether current or near-term AI systems could be conscious is a topic of...
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11/14/2022
Logical Tasks for Measuring Extrapolation and Rule Comprehension
Logical reasoning is essential in a variety of human activities. A repre...
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03/24/2022
On the link between conscious function and general intelligence in humans and machines
In popular media, there is often a connection drawn between the advent o...
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02/26/2022
AI agents for facilitating social interactions and wellbeing
Wellbeing AI has been becoming a new trend in individuals' mental health...
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07/14/2021
Experimental Evidence that Empowerment May Drive Exploration in Sparse-Reward Environments
Reinforcement Learning (RL) is known to be often unsuccessful in environ...
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12/04/2020
Deep Learning and the Global Workspace Theory
Recent advances in deep learning have allowed Artificial Intelligence (A...
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10/05/2020
Non-trivial informational closure of a Bayesian hyperparameter
We investigate the non-trivial informational closure (NTIC) of a Bayesia...
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06/18/2018
A unified strategy for implementing curiosity and empowerment driven reinforcement learning
Although there are many approaches to implement intrinsically motivated ...
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06/05/2018
Boredom-driven curious learning by Homeo-Heterostatic Value Gradients
This paper presents the Homeo-Heterostatic Value Gradients (HHVG) algori...
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06/01/2018
Being curious about the answers to questions: novelty search with learned attention
We investigate the use of attentional neural network layers in order to ...
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03/30/2018
Learning to generate classifiers
We train a network to generate mappings between training sets and classi...
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01/23/2018
Curiosity-driven reinforcement learning with homeostatic regulation
We propose a curiosity reward based on information theory principles and...
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12/19/2017
Efficient Algorithms for Searching the Minimum Information Partition in Integrated Information Theory
The ability to integrate information in the brain is considered to be an...
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08/15/2017
Learning body-affordances to simplify action spaces
Controlling embodied agents with many actuated degrees of freedom is a c...
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02/28/2017
A description length approach to determining the number of k-means clusters
We present an asymptotic criterion to determine the optimal number of cl...
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02/22/2017
Counterfactual Control for Free from Generative Models
We introduce a method by which a generative model learning the joint dis...
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12/14/2016
Permutation-equivariant neural networks applied to dynamics prediction
The introduction of convolutional layers greatly advanced the performanc...
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09/01/2016