Explaining Aha! moments in artificial agents through IKE-XAI: Implicit Knowledge Extraction for eXplainable AI

Collective eXplainable AI: Explaining Cooperative Strategies and Agent Contribution in Multiagent Reinforcement Learning With Shapley Values

(2022) Alexandre Heuillet et al.   IEEE Computational Intelligence Magazine

The development of place value concepts: Approximation before principles

(2022) Kelly S. Mix et al.   CHILD DEVELOPMENT

Children’s exploratory play tracks the discriminability of hypotheses

(2021) Max H. Siegel et al.   Nature Communications

A Sandbox Approach to Regulating High-Risk Artificial Intelligence Applications

(2021) Jon Truby et al.   European Journal of Risk Regulation

EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: The MonuMAI cultural heritage use case

(2021) Natalia Díaz-Rodríguez et al.   Information Fusion

“Let me explain!”: exploring the potential of virtual agents in explainable AI interaction design

(2020) Katharina Weitz et al.   Journal on Multimodal User Interfaces

Continual learning for robotics: Definition, framework, learning strategies, opportunities and challenges

(2019) Timothée Lesort et al.   Information Fusion

Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI

(2019) Alejandro Barredo Arrieta et al.   Information Fusion

Enabling robots to communicate their objectives

(2018) Sandy H. Huang et al.   AUTONOMOUS ROBOTS

An architecture for ethical robots inspired by the simulation theory of cognition

(2018) Dieter Vanderelst et al.   Cognitive Systems Research

DQNViz: A Visual Analytics Approach to Understand Deep Q-Networks

(2018) Junpeng Wang et al.   IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS

Open-Ended Learning: A Conceptual Framework Based on Representational Redescription

(2018) Stephane Doncieux et al.   Frontiers in Neurorobotics

LSTM: A Search Space Odyssey

(2017) Klaus Greff et al.   IEEE Transactions on Neural Networks and Learning Systems

Building machines that learn and think like people

(2016) Brenden M. Lake et al.   BEHAVIORAL AND BRAIN SCIENCES

Problem Solving as Probabilistic Inference with Subgoaling: Explaining Human Successes and Pitfalls in the Tower of Hanoi

(2016) Francesco Donnarumma et al.   PLoS Computational Biology

The Cognitive Neuroscience of Insight

(2014) John Kounios et al.   Annual Review of Psychology

The origins of inquiry: inductive inference and exploration in early childhood

(2012) Laura Schulz   TRENDS IN COGNITIVE SCIENCES

Bottom-up learning of explicit knowledge using a Bayesian algorithm and a new Hebbian learning rule

(2010) Sébastien Hélie et al.   NEURAL NETWORKS