Mark Wallace, Neil Yorke-Smith (2020), A New Constraint Programming Model and Solving for the Cyclic Hoist Scheduling Problem, In Constraints Volume 25 p.319-337.

Mark Wallace, N. Yorke-Smith (2020), A New Constraint Programming Model and Solving for the Cyclic Hoist Scheduling Problem p.xxviii-xxix.

Louis Gevers, Neil Yorke-Smith (2020), Cooperation in Harsh Environments: The Effects of Noise in Iterated Prisoner's Dilemma, L. Cao, W. Kosters, J. Lijffijt (Eds.), In Proceedings of BNAIC/BeneLearn 2020 p.414-415, RU Leiden.

Louis Gevers, Neil Yorke-Smith (2020), Cooperation in Harsh Environments: The Effects of Noise in Iterated Prisoner’s Dilemma, In Belgian/Netherlands Artificial Intelligence Conference p.414-415.

Shivam Miglani, Neil Yorke-Smith (2020), NLtoPDDL: One-Shot Learning of PDDL Models from Natural Language Process Manuals, In Working Notes of the ICAPS'20 Workshop on Knowledge Engineering for Planning and Scheduling (KEPS'20), ICAPS.

N. Yorke-Smith (2020), Responsible Artificial Intelligence: (book review), In Prometheus (Abingdon): critical studies in innovation p.299-302.

Roland Saur, Han la Poutré, Neil Yorke-Smith (2020), Towards Optimal Demand-Side Bidding in Parallel Auctions for Time-Shiftable Electrical Loads, In 2020 IEEE 18th International Conference on Industrial Informatics (INDIN) p.340-347, IEEE.

Ronald van Driel, N. Yorke-Smith (2020), Towards Unsatisfiable Core Learning for Chuffed.

Sara Bernardini, Simon Parkinson, Kartik Talamadupula, Neil Yorke-Smith (2019), 12th International Scheduling and Planning Applications Workshop (SPARK'19): Post-proceedings of SPARK 2019.

Pankaj R. Telang, Munindar P. Singh, Neil Yorke-Smith (2019), A Coupled Operational Semantics for Goals and Commitments, In The Journal of Artificial Intelligence Research Volume 65 p.31-85.