Most current decision-making research focuses on classical economic scenarios, where
choice offers are prespecified and where action dynamics play no role in the decision …

Researchers across cognitive, neuro-and computer sciences increasingly reference 'human-
like'artificial intelligence and 'neuroAI'. However, the scope and use of the terms are often …

Highlights•Learning is supported by the brain's reinforcement learning network
(RL).•Executive functions (EF) support other forms of learning, but also interact with and …

We introduce a modeling tool which can evolve a set of 3D objects in a functionality-aware
manner. Our goal is for the evolution to generate large and diverse sets of plausible 3D …

Text-based simulated environments have proven to be a valid testbed for machine learning
approaches. The process of affordance extraction can be used to generate possible actions …

In the field of second language acquisition theory (SLA), the integration of computer
technology and artificial intelligence (AI) programs in the language learning process is …