Associate Professor Adrian Pearce
- Automated Planning & Scheduling
- Optimisation in multi-agent systems and supply chains
- Reasoning about Action and Epistemic Reasoning
Adrian Pearce is a researcher and innovator in planning and scheduling. His research has improved the efficiency and robustness of a range of applications including production scheduling for mining, supply chain optimization, robotics, logistics and air traffic management. He has contributed deeply in research on reasoning about actions within the field of artificial intelligence. In conjunction with colleagues in the Melbourne School of Engineering and Optimisation Group, he has made fundamental breakthroughs in the ability to perform collaborative planning and scheduling. His research tackles optimization problems, including more efficient and productive supply chain management for agile mine scheduling and cognitive robotics applications in defence. He is presently the Director (acting) of the Defence Science Institute.
- Blom M, Pearce A, Stuckey P. Short-term scheduling of an open-pit mine with multiple objectives. ENGINEERING OPTIMIZATION. Taylor & Francis Ltd. 2017, Vol. 49, Issue 5.
- Blom M, Pearce A, Stuckey P. A Decomposition-Based Algorithm for the Scheduling of Open-Pit Networks Over Multiple Time Periods. MANAGEMENT SCIENCE. INFORMS Applied Probability Society. 2016, Vol. 62, Issue 10.
- Miller T, Felli P, Muise C, Pearce A, Sonenberg E. Knowing Whether in proper epistemic knowledge bases. 30th AAAI Conference on Artificial Intelligence (AAAI). 2016.
- Muise C, Felli P, Miller T, Pearce A, Sonenberg E. Planning for a single agent in a multi-agent environment using FOND. 25th International Joint Conference on Artificial Intelligence (IJCAI). AAAI Press. 2016, Vol. 2016-January.
- Davies T, Pearce A, Stuckey P, Lipovetzky N. Sequencing operator counts. IJCAI International Joint Conference on Artificial Intelligence. AAAI Press. 2016, Vol. 2016-January.
- De Giacomo G, Lesperance Y, Pearce A. Situation Calculus Game Structures and GDL. 22nd European Conference on Artificial Intelligence (ECAI). IOS Press. 2016, Vol. 285. Editors: Kaminka GA, Fox M, Bouquet P, Hullermeier E, Dignum V, Dignum F, Vanharmelen F.
- Sonenberg E, Miller T, Pearce A, Felli P, Muise CJ, Dignum F. Social planning for social HRI. 2nd Workshop on Cognitive Architectures for Social Human-Robot Interaction (CogArch4sHRI). arXiv.org. 2016, Vol. abs/1602.06483. Editors: Baxter P, Trafton G, Lemaignan S.
- Muise C, Dignum F, Felli P, Miller T, Pearce A, Sonenberg E. Towards team formation via automated planning. International Workshop on Coordination, Organisation, Institutions and Norms in Multi-Agent Systems (COIN@IJCAI). Springer Verlag. 2016, Vol. 9628.
- Burt C, Lipovetzky N, Pearce A, Stuckey P. Approximate uni-directional benders decomposition. AAAI Workshop - Technical Report. 2015, Vol. WS-15-12.
- Kelly RF, Pearce A. Asynchronous knowledge with hidden actions in the situation calculus. ARTIFICIAL INTELLIGENCE. Elsevier BV. 2015, Vol. 221.
- Felli P, Miller T, Muise C, Pearce A, Sonenberg E. Computing social behaviours using agent models. IJCAI International Joint Conference on Artificial Intelligence. AAAI Press. 2015, Vol. 2015-January.
- Muise C, Miller T, Felli P, Pearce A, Sonenberg E. Efficient reasoning with consistent proper epistemic knowledge bases. Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS. 2015, Vol. 3.
- Davies T, Pearce A, Stuckey P, Sondergaard H. Optimisation and relaxation for multiagent planning in the situation calculus. Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS. 2015, Vol. 2.
- Ewin C, Pearce A, Vassos S. Optimizing Long-Running Action Histories in the Situation Calculus Through Search. 18th International Conference on Principles and Practice of Multi-Agent Systems (PRIMA). Springer Verlag. 2015, Vol. 9387. Editors: Chen Q, Torroni P, Villata S, Hsu J, Omicini A.
- Muise C, Belle V, Felli P, McIlraith S, Miller T, Pearce A, Sonenberg E. Planning over multi-agent epistemic states: A classical planning approach. Proceedings of the National Conference on Artificial Intelligence. 2015, Vol. 5.
View a full list of publications on the University of Melbourne’s ‘Find An Expert’ profile