The animal-ai environment: Training and testing animal-like artificial cognition

B Beyret, J Hernández-Orallo, L Cheke… - arXiv preprint arXiv …, 2019 - arxiv.org
Recent advances in artificial intelligence have been strongly driven by the use of game
environments for training and evaluating agents. Games are often accessible and versatile …

Animal-AI 3: What's New & Why You Should Care

K Voudouris, I Alhas, W Schellaert, M Crosby… - arXiv preprint arXiv …, 2023 - arxiv.org
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 …

The animal-AI testbed and competition

M Crosby, B Beyret, M Shanahan… - Neurips 2019 …, 2020 - proceedings.mlr.press
Modern machine learning systems are still lacking in the kind of general intelligence and
common sense reasoning found, not only in humans, but across the animal kingdom. Many …

[PDF][PDF] Science birds novelty: An open-world learning test-bed for physics domains

C Xue, V Pinto, P Zhang, C Gamage… - Proceedings of the …, 2022 - usc-isi-i2.github.io
Successfully operating in open worlds is a hallmark of human intelligence but still remains a
major challenge to modern Artificial Intelligence (AI) systems. With the increasing reliance …

The animal-ai olympics

M Crosby, B Beyret, M Halina - Nature Machine Intelligence, 2019 - nature.com
The Animal-AI Olympics | Nature Machine Intelligence Skip to main content Thank you for
visiting nature.com. You are using a browser version with limited support for CSS. To obtain the …

[PDF][PDF] TIELT: A testbed for gaming environments

M Molineaux, DW Aha - PROCEEDINGS OF THE NATIONAL …, 2005 - cdn.aaai.org
Many AI researchers want to test the utility of their systems in complex task environments
defined by (eg, real-time strategy) gaming simulators and/or simulators of …

[图书][B] Playing smart: On games, intelligence, and artificial intelligence

J Togelius - 2019 - books.google.com
A new vision of the future of games and game design, enabled by AI. Can games measure
intelligence? How will artificial intelligence inform games of the future? In Playing Smart …

Minatar: An atari-inspired testbed for thorough and reproducible reinforcement learning experiments

K Young, T Tian - arXiv preprint arXiv:1903.03176, 2019 - arxiv.org
The Arcade Learning Environment (ALE) is a popular platform for evaluating reinforcement
learning agents. Much of the appeal comes from the fact that Atari games demonstrate …

Multi-game decision transformers

KH Lee, O Nachum, MS Yang, L Lee… - Advances in …, 2022 - proceedings.neurips.cc
A longstanding goal of the field of AI is a method for learning a highly capable, generalist
agent from diverse experience. In the subfields of vision and language, this was largely …

Building thinking machines by solving animal cognition tasks

M Crosby - Minds and Machines, 2020 - Springer
Abstract In 'Computing Machinery and Intelligence', Turing, sceptical of the question 'Can
machines think?', quickly replaces it with an experimentally verifiable test: the imitation …