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 …

We aim to understand how people assess human likeness in navigation produced by
people and artificially intelligent (AI) agents in a video game. To this end, we propose a …

Memory is inherently entangled with prediction and planning. Flexible behavior in biological
and artificial agents depends on the interplay of learning from the past and predicting the …

In this paper, we propose a new approach called Adaptive Behavioral Costs in
Reinforcement Learning (ABC-RL) for training a human-like agent with competitive strength …

Artificial intelligence (AI) has enabled agents to master complex video games, from first-
person shooters like Counter-Strike to real-time strategy games such as StarCraft II and …

This paper describes methods for training autonomous agents to play the game" Doom 2"
through Imitation Learning (IL) using only pixel data as input. We also explore how …

Since the introduction of the Turing Test to measure machine intelligence, more and more
sophisticated artificial systems have been developed to pass the test. These systems …

We present a temporally layered architecture (TLA) for temporally adaptive control with
minimal energy expenditure. The TLA layers a fast and a slow policy together to achieve …

We not only perceive the physical state of the environment, but also the causal structures
underlying the physical state. Determining whether an object has intentionality is a key …

Few studies have used brain activity and personality to explore how agents developed with
different artificial intelligence (AI) methods can affect humans differently in a video game …