  The Animal-AI Environment is a unique game-based research platform designed
to serve both the artificial intelligence and cognitive science research
communities. In this paper, we present Animal-AI 3, the latest version of the
environment, outlining several major new features that make the game more
engaging for humans and more complex for AI systems. New features include
interactive buttons, reward dispensers, and player notifications, as well as an
overhaul of the environment's graphics and processing for significant increases
in agent training time and quality of the human player experience. We provide
detailed guidance on how to build computational and behavioural experiments
with Animal-AI 3. We present results from a series of agents, including the
state-of-the-art Deep Reinforcement Learning agent (dreamer-v3), on newly
designed tests and the Animal-AI Testbed of 900 tasks inspired by research in
comparative psychology. Animal-AI 3 is designed to facilitate collaboration
between the cognitive sciences and artificial intelligence. This paper serves
as a stand-alone document that motivates, describes, and demonstrates Animal-AI
3 for the end user.
