Mapping Intelligence: Requirements and Possibilities. - Sankalp Bhatnagar; Anna Alexandrova; Shahar Avin; Stephen Cave; Lucy Cheke; Matthew Crosby; Jan Feyereisl; Marta Halina; Bao Sheng Loe; Seán Ó hÉigeartaigh; Fernando Martínez-Plumed; Huw Price; et al. (PT-AI, 2017)

The Animal-AI Testbed and Competition. - Matthew Crosby; Benjamin Beyret; Murray Shanahan; José Hernández-Orallo; Lucy Cheke; Marta Halina (NeurIPS (Competition and Demos), 2019)

The Animal-AI Environment: Training and Testing Animal-Like Artificial Cognition. - Benjamin Beyret; José Hernández-Orallo; Lucy Cheke; Marta Halina; Murray Shanahan; Matthew Crosby (CoRR, 2019)

Not a Number: Identifying Instance Features for Capability-Oriented Evaluation. - Ryan Burnell; John Burden; Danaja Rutar; Konstantinos Voudouris; Lucy Cheke; José Hernández-Orallo (IJCAI, 2022)

Evaluating Object Permanence in Embodied Agents using the Animal-AI Environment. - Konstantinos Voudouris; Niall Donnelly; Danaja Rutar; Ryan Burnell; John Burden; José Hernández-Orallo; Lucy Cheke (EBeM@IJCAI, 2022)

Inferring Capabilities from Task Performance with Bayesian Triangulation. - John Burden; Konstantinos Voudouris; Ryan Burnell; Danaja Rutar; Lucy Cheke; José Hernández-Orallo (CoRR, 2023)

Predictable Artificial Intelligence. - Lexin Zhou; Pablo Antonio Moreno Casares; Fernando Martínez-Plumed; John Burden; Ryan Burnell; Lucy Cheke; Cèsar Ferri; Alexandru Marcoci; Behzad Mehrbakhsh; Yael Moros-Daval; Seán Ó hÉigeartaigh; Danaja Rutar; et al. (CoRR, 2023)

Animal-AI 3: What's New & Why You Should Care. - Konstantinos Voudouris; Ibrahim Alhas; Wout Schellaert; Matthew Crosby; Joel Holmes; John Burden; Niharika Chaubey; Niall Donnelly; Matishalin Patel; Marta Halina; José Hernández-Orallo; Lucy G. Cheke (CoRR, 2023)

100 instances is all you need: predicting the success of a new LLM on unseen data by testing on a few instances. - Lorenzo Pacchiardi; Lucy G. Cheke; José Hernández-Orallo (CoRR, 2024)

Leaving the barn door open for Clever Hans: Simple features predict LLM benchmark answers. - Lorenzo Pacchiardi; Marko Tesic; Lucy G. Cheke; José Hernández-Orallo (CoRR, 2024)

A little less conversation, a little more action, please: Investigating the physical common-sense of LLMs in a 3D embodied environment. - Matteo G. Mecattaf; Ben Slater; Marko Tesic; Jonathan E. Prunty; Konstantinos Voudouris; Lucy G. Cheke (CoRR, 2024)

Bringing Comparative Cognition To Computers. - Konstantinos Voudouris; Lucy G. Cheke; Eric Schulz (CoRR, 2025)

General Scales Unlock AI Evaluation with Explanatory and Predictive Power. - Lexin Zhou; Lorenzo Pacchiardi; Fernando Martínez-Plumed; Katherine M. Collins; Yael Moros-Daval; Seraphina Zhang; Qinlin Zhao; Yitian Huang; Luning Sun; Jonathan E. Prunty; Zongqian Li; Pablo Sánchez-García; et al. (CoRR, 2025)

Cognitive Science-Inspired Evaluation of Core Capabilities for Object Understanding in AI. - Danaja Rutar; Alva Markelius; Konstantinos Voudouris; José Hernández-Orallo; Lucy Cheke (CoRR, 2025)