RESOURCES

Play & Watch

Click here to play with Version 2.0 of the Animal-AI Environment and watch the agents that participated in the 2019 Animal-AI Olympics competition. (As of 2024/10/15, the link is broken and work is being carried out to release a newer, updated version.)

Animal-AI 3 (WebGL) will be available to play online soon right on your browser!

Publications & Conference Proceedings

• Voudouris, K., Alhas, I., Schellaert, W., Crosby, M., Holmes, J., Burden, J., Chaubey, N., Donnelly, N., Slater, B., Mecattaf, M., Patel, M., Halina, M., Hernández-Orallo, J., Cheke, L. G. (2024) The Animal-AI Environment: A Virtual Laboratory For Comparative Cognition and Artificial Intelligence Research. arXiv preprint arXiv:2312.11414v2. [arXiv] [pdf]

• Voudouris, K., Alhas, I., Schellaert, W., Crosby, M., Holmes, J., Burden, J., Chaubey, N., Donnelly, N., Patel, M., Halina, M., Hernández-Orallo, J., Cheke, L. G. (2023) Animal-AI 3: What's New & Why You Should Care. arXiv preprint arXiv:2312.11414. [arXiv] [pdf]

• Burden, J., Voudouris, K., Burnell, R., Rutar, D., Cheke, L., & Hernández-Orallo, J. (2023). Inferring Capabilities from Task Performance with Bayesian Triangulation. arXiv preprint arXiv:2309.11975. [arXiv] [pdf]

• Cardoso, R. P., Donnelly, N., Keedwell, E., Cheke, L., & Shanahan, M. (2023, July). What is a Stimulus? A Computational Perspective on an Associative Learning Model. In ALIFE 2023: Ghost in the Machine: Proceedings of the 2023 Artificial Life Conference. MIT Press. [A-Life] [pdf]

• Voudouris, K., Donnelly, N., Rutar, D., Burnell, R., Burden, J., Hernández-Orallo, J., & Cheke, L. (2022). Evaluating Object Permanence in Embodied Agents using the Animal-AI Environment. Proceedings of the Workshop on AI Evaluation Beyond Metrics at IJCAI-ECAI, Vienna. [pdf]

• Burnell, R., Burden, J., Rutar, D., Voudouris, K., Cheke, L., & Hernández-Orallo, J. (2022). Not a Number: Identifying Instance Features for Capability-Oriented Evaluation. In IJCAI (pp. 2827-2835). [pdf]

• Voudouris, K., Crosby, M., Beyret, B., Hernández-Orallo, J., Shanahan, M., Halina, M., & Cheke, L. G. (2022). Direct human-AI comparison in the animal-AI environment. Frontiers in Psychology, 13, 1884. [pdf]

• Crosby, M. (2020). Building thinking machines by solving animal cognition tasks. Minds and Machines, 30(4), 589-615. [mm]

• Crosby, M., Beyret, B., Shanahan, M., Hernández-Orallo, J., Cheke, L., & Halina, M. (2020). The animal-AI testbed and competition. In Neurips 2019 competition and demonstration track (pp. 164-176). PMLR. [pmlr][pdf]

• Crosby, M., Beyret, B., & Halina, M. (2019). The animal-ai olympics. Nature Machine Intelligence, 1(5), 257-257. [nat. mach. int.]

• Beyret, B., Hernández-Orallo, J., Cheke, L., Halina, M., Shanahan, M., & Crosby, M. (2019). The animal-ai environment: Training and testing animal-like artificial cognition. arXiv preprint arXiv:1909.07483. [arXiv] [pdf]