Adrian Pearce School of Computing and Information Systems Faculty of Engineering and IT The University of Melbourne Phone: +61 3 8344 1399 Office: 3108, Melbourne Connect, 700 Swanston St., Carlton, Victoria, 3010 Email: adrianrp (at) unimelb.edu.au

LinkedIn   |   UniMelb profile   |   Orcid Id   |   DBLP   |   Google Scholar Research Activities & Interests Adrian Pearce is a Professor in the School of Computing and Information Systems at the University of Melbourne. He conducts research in automated planning and scheduling and he has contributed deeply in research on reasoning about actions within the field of artificial intelligence. His research has improved the efficiency and robustness of a range of applications including production scheduling for manufacture, cognitive robotics for trusted autonomous systems and multi-agent systems, supply chain logistics for sustainable resources, and improved decision making for autonomous analysts. Adrian is a member of the AI and Autonomy Agent Lab, part of the Artificial Intelligence group in the School. Together with his colleagues, Adrian has made fundamental breakthroughs which facilitate collaborative constraint and resource optimisation for autonomous systems over complex supply chain networks. This involves satisfying constraints, such as resource or processing capacities, while meeting temporally extended goals, such as maintenance constraints. More productive and sustainable manufacturing and scheduling algorithms have resulted. Algorithms for cognitive robotics and decision making for autonomous analysts have also been developed which facilitate improved human-robot interaction, meeting both human constraints (faster than human thought, nested reasoning) and robot constraints (dealing with irreducible uncertainty and incompleteness). His research interests include Reasoning about action and change (the situation calculus, classical planning, generalized planning & reinforcement learning) Strategy synthesis (game structures - linear temporal logic & mu calculus) Introspective reasoning (theory of mind (ToM) reasoning - epistemic logic with nested beliefs) Contextual reasoning and ontology adaptation (constructive mathematics - intuitionistic logic, higher order type theory) Discrete and continuous optimization (mathematical programming - dual decomposition, MIP & SAT) Adrian Pearce's Recent Publications are also available at DBLP, Google Scholar & Orcid Id. PhD applications: I presently have a range of exciting research opportunities for graduates to do their thesis funded by Melbourne University scholarships, please contact me if your are interested in applying. Biography Prof. Pearce completed a BSc (Hons. first class) in Computer Science at The University of Melbourne and a PhD in Computer Science (APAI Award) at Curtin University in Perth. He completed a Postdoctoral Research Fellowship before joining Curtin University as a Lecturer. He has been at the University of Melbourne since 2000 where he is presently a Professor of Computer Science and Information Systems and the Deputy Head of School (Engagement). He received the Erasmus Mundus Academc Scholar Award in 2014 and was Visiting Academic at Free University of Bosen Bolzano in 2014 and Sapienza University of Rome in 2009 and 2014. He received Outstanding (Best Paper) award at the International Conference on Automated Planning and Scheduling (ICAPS) in 2015. He regularly serves on the Senior Program Committees of the International Joint Conference on Artificial Intelligence (IJCAI), the International Conference on Automated Planning and Scheduling (ICAPS), the International Conference on Knowledge Representation and Reasoning (KR), the AAAI Conference on Artificial Intelligence (AAAI), and the International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS). Conference Chair roles Program Track Chair, Operations Research Track, ICAPS 2018 (OR Track) (Delft) Workshop Chair, Impedance Matching in Cognitive Partenrships @ IJCAI, CogPartner @ IJCAI-17 (Melbourne) Doctoral Mentoring Consortium Chair, AAMAS 2015 (Istanbul) Doctoral Consortium Chair, KR2014 (Vienna, part of Vienna Summer of Logic) Doctoral Consortium Chair, AAMAS 2011 (Taipei) Senior Program Committee (SPC) & PC membership IJCAI-ECAI22 Senior Program Committee (SPC) Vienna Previous: IJCAI-21 Senior Program Committee (SPC) Montreal IJCAI-PRICAI 20 Senior Program Committee (SPC) Yokohama, Japan; IJCAI-19 (SPC) (Maccao); IJCAI-ECAI-2018 (Stockholm); IJCAI-16 (SPC) (New York) IJCAI-15 (Buenos Aires); IJCAI-13 (Beijing);IJCAI-11 (Barcelona);IJCAI-09 (Pasadena) ICAPS-2025 (Sponsorship Chair) Melbourne; Previous: ICAPS-2021 (PC) Guangzhou, China ; ICAPS-2020 (PC) Nancy, France; ICAPS-2019 (PC) Berkeley; ICAPS-2018 (Operations Research (OR) Track Program Chair) Delft, Netherlands; ICAPS-2017 (PC) Pittsburgh; ICAPS-2016 (Sponsorship Chair) London; AAAI-24 Vancouver Previous: AAAI-22 Virtual Conference; AAAI-21 Virtual Conference; AAAI-19 (SPC) (Hawaii); AAAI18 (SPC) (New Orleans); AAAI-16 (Phoenix, Arizona) AAAI-11 (San Francisco) KR2021 (Hanoi, Vietnam) Previous: KR2020 (Rhodes, Greece) KR2018 (Tempe, Arizona); KR2016 (Cape Town) KR2014 (Vienna); KR2012 (Rome) AAMAS 2019 (Montreal) Previous: AAMAS 2018 (Stockholm) AAMAS 2016 (Singapore) AAMAS 2015 (Istanbul); AAMAS 2013 (Saint Paul, Minnesota); AAMAS 2012 (Valencia); AAMAS 2010 (Toronto); Participation in Research Projects—ARC Grants, Centres & Research Contracts as Chief Investigator (CI) Below is a table of some of the current and past research projects. For a detailed list of my funded research projects, grants and contracts please visit my Orcid Id under 'funding'. Current Project ARC ITTC ARC Industrial Transformation Training Centre (ITTC) for Optimisation Technologies, Integrated Methodologies, and Applications (OPTIMA)   Foundations and analysis of AI enabled gaming - Non-monotonic ontology adaptation. FBI-CRC Future Battery Industries FBI-CRC - UniMelb Point of Contact (POC) & Super anode project (CI) Completed ARC Discovery Foundations of human-agent collaboration: situation-relevant information sharing ARC Discovery Concept-based retrieval ARC Linkage Making the Pilbara blend: agile mine scheduling through contingent planning ARC Linkage Enabelling intelligent agent behaviour in command support ARC COE Centre of Excellence for Intelligent and Perceptive Machines in Complex Environments (PIMCE) data61 (NICTA) Optimisation group (CI) & Associate Director Graduate Education (Victoria) Postgraduate Candidates Current Topic Destination Archana Vadakattu Strategy transfer in AI agents   Kevin McDonald Improving the design and implementation of reinforcement learning algorithms for team-based systems   Lyndon Benke Deceptive planning in multiagent environments   Oliver Kim Task planning in mobile robots using common sense as a generative model   Completed   Stefan O'Toole Learning action models Meta, London Toby Davies Learning from Conflict in Multi-Agent, Classical, and Temporal Planning Google, Paris Chris Ewin Online Multi-Agent Reasoning in Asynchronous Domains The University of Melbourne Adam Whiteside Classical Processing for Topological Quantum Error Correction Google, USA Michelle Blom Arguments and Actions: Decoupling Preference and Planning through Argumentation University of Melbourne Ryan Kelly Asynchronous multi-agent reasoning in the situation calculus Harrison.ai; Mozilla Jian (Alan) Huang Collaborative logic programming via deductive-inductive resolution JPMorgan, Sydney; Fidessa (Algorithmic trading), Hong Kong Michael Papasimeon Modelling Agent-Environment Interaction in Multi-Agent Simulations with Affordances DST Melbourne Don Perugini Agents for logistics: a provisional agreement approach Presagen, San Francisco Susannah Soon Multi-agent coordination: a graph-based approach to intention recognition Curtin University Yen-Ting Kuo Capturing domain knowledge for knowledge discovery Neutec Software Inc. Peter Hebden Distributed asynchronous clustering for small-world properties & Bloom gradient routing for wireless sensor networks The University College London Jian (Jenny) Ying Zhang Causation and Fuzzy Causal Networks Monash University; Swinburne University of Technology Terence Heung-Wing Law Focused Decomposition: multi-agent distributed constraint optimisation with linear communication TVB New Media Group, Hong Kong Recent Reviewing Artificial Intellignece Journal (AIJ) Memberships Member, Association for the Advancement of Artificial Intelligence (AAAI) Member, Association for Computing Machinery (ACM) Member, IEEE Computer Society Member, Institute of Electrical and Electronics Engineers (IEEE) Senior Member, Australian Computer Society Present Teaching AI Planning for Autonomy Elements of Quantum Computing Former Teaching Software Agents COMP90057 Advance Theoretical Computer Science COMP90048 Declarative Programming COMP30019 Graphics and Computation ENG10003 Engineering Systems Design 2

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Adrian Pearce (Email: adrianrp [at] unimelb.edu.au)
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