Much of our understanding of navigation comes from the study of individual species, often
with specific tasks tailored to those species. Here, we provide a novel experimental and …

We characterise the problem of abstraction in the context of deep reinforcement learning.
Various well established approaches to analogical reasoning and associative memory might …

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 …

Object permanence, the understanding and belief that objects continue to exist even when
they are not directly observable, is important for any agent interacting with the world …

Conclusion We have proposed the cognitive diagnostic framework Camilla and a multi-
dimensional metric Ability for providing both interpretable and reliable assessment of …

Comparative cognition is the study of cognition across the tree of life. Nonhuman animals
(hereafter animals) display a broad and often surprising range of cognitive abilities. Kea (a …

Affordance understanding is the cognitive capability to identify what action-possibilities exist
with a particular object or set of objects, given an agent's specific physical properties and …

Computational modeling should and will play an increasingly important role in the future of
comparative cognition. Computational comparative cognition is a burgeoning field, poised to …

Object Permanence (OP) is the understanding that objects continue to exist when not
directly observable. To date, this ability has proven difficult to build into AI systems, with …

Artificial intelligence research focuses on machine reasoning and knowledge-based
problem-solving. Yet, Einstein observed that knowledge stagnates without human …