Framer: Planning models from natural language action descriptions A Lindsay, J Read, JF Ferreira, T Hayton, J Porteous, P Gregory Twenty-Seventh International Conference on Automated Planning and Scheduling, 2017 | 51 | 2017 |
Domain model acquisition in domains with action costs P Gregory, A Lindsay Twenty-Sixth International Conference on Automated Planning and Scheduling, 2016 | 33 | 2016 |
Automated extension of narrative planning domains with antonymic operators J Porteous, A Lindsay, J Read, M Truran, M Cavazza | 29 | 2015 |
Subliminal cueing of selection behavior in a virtual environment G Aranyi, S Kouider, A Lindsay, H Prins, I Ahmed, G Jacucci, P Negri, ... Presence: Teleoperators and Virtual Environments 23 (1), 33-50, 2014 | 25 | 2014 |
Covert persuasive technologies: bringing subliminal cues to human-computer interaction O Barral, G Aranyi, S Kouider, A Lindsay, H Prins, I Ahmed, G Jacucci, ... International Conference on Persuasive Technology, 1-12, 2014 | 15 | 2014 |
Storyframer: From input stories to output planning models T Hayton, J Porteous, J Ferreira, A Lindsay, J Read Workshop on Knowledge Engineering for Planning and Scheduling (KEPS). The …, 2017 | 14 | 2017 |
Towards exploiting generic problem structures in explanations for automated planning A Lindsay Proceedings of the 10th International Conference on Knowledge Capture, 235-238, 2019 | 11 | 2019 |
Extending narrative planning domains with linguistic resources J Porteous, JF Ferreira, A Lindsay, M Cavazza Proceedings of the 19th International Conference on Autonomous Agents and …, 2020 | 9 | 2020 |
The dimensions of driverlog P Gregory, A Lindsay PlanSIG 2007, 52, 2007 | 9 | 2007 |
Improving planning performance in PDDL+ domains via automated predicate reformulation S Franco, M Vallati, A Lindsay, TL McCluskey International Conference on Computational Science, 491-498, 2019 | 8 | 2019 |
Protagonist vs antagonist provant: Narrative generation as counter planning J Porteous, A Lindsay Proceedings of the 18th International Conference on Autonomous Agents and …, 2019 | 8 | 2019 |
Visualization of patient behavior from natural language recommendations J Siddle, A Lindsay, JF Ferreira, J Porteous, J Read, F Charles, ... Proceedings of the Knowledge Capture Conference, 1-4, 2017 | 7 | 2017 |
Problem models for rule based planning A Lindsay University of Strathclyde, 2015 | 5 | 2015 |
Narrative planning model acquisition from text summaries and descriptions T Hayton, J Porteous, J Ferreira, A Lindsay Proceedings of the AAAI Conference on Artificial Intelligence 34 (02), 1709-1716, 2020 | 4 | 2020 |
PlanCurves: An Interface for End-Users to Visualise Multi-Agent Temporal Plans P Le Bras, Y Carreno, A Lindsay, RPA Petrick, MJ Chantler | 4 | 2020 |
Domain model acquisition with missing information and noisy data P Gregory, A Lindsay, J Porteous Workshop on Knowledge Engineering for Planning and Scheduling (KEPS). The …, 2017 | 4 | 2017 |
Lifting the Limitations in a Rule-based Policy Language. A Lindsay, M Fox, D Long FLAIRS Conference, 2009 | 4 | 2009 |
Automated narrative planning model extension J Porteous, JF Ferreira, A Lindsay, M Cavazza Autonomous Agents and Multi-Agent Systems 35 (2), 1-29, 2021 | 3 | 2021 |
Investigating Human Response, Behaviour, and Preference in Joint-Task Interaction A Lindsay, B Craenen, S Dalzel-Job, RL Hill, R Petrick arXiv preprint arXiv:2011.14016, 2020 | 3 | 2020 |
Refining Process Descriptions from Execution Data in Hybrid Planning Domain Models A Lindsay, S Franco, R Reba, TL McCluskey Proceedings of the International Conference on Automated Planning and …, 2020 | 3 | 2020 |