Associate Professor Michael Kirley

  • Room: Level: 06 Room: 608
  • Building: Doug McDonell Building
  • Campus: Parkville

Research interests

  • Artificial Intelligence (Machine learning; Reinforcement learning)
  • Complex Adaptive Systems (Nonlinear dynamical systems)
  • Evolutionary Computation (Algorithms; Metaheuristics; Optimisation)
  • Evolutionary Game Theory (Cooperation; Cultural dynamics)
  • Multi-Agent Systems (Autonomous agents; Simulation)

Biography

Dr Michael Kirley is a member of the academic staff at The University of Melbourne, where he holds an appointment as an Associate Professor in the School of Computing and Information Systems within the Melbourne School of Engineering.

Michael's research is focussed on understanding complex adaptive systems, where the overarching goal is to develop an interdisciplinary synthesis describing evolutionary processes in both natural and artificial systems. His main scientific contributions are in three areas:

  • First, in the analysis and design of evolutionary algorithms; including exploratory landscape analysis with applications in large-scale, open and dynamic environments.
  • Second, developing new mechanisms and algorithms, inspired by evolutionary game theory, to explore the evolution of social behaviours such as cooperation and cultural dynamics.
  • Third, combining computational and agent-based software engineering methodologies to build robust simulation models of complex social-ecological systems.

Michael has received multiple awards for excellence in both teaching and research:

  • Excellence in Research 2009, Department of Computer Science and Software Engineering, The University of Melbourne
  • Excellence in Teaching 2011, Department of Computer Science and Software Engineering, The University of Melbourne
  • Teaching Excellence 2005, Faculty of Engineering, The University of Melbourne
  • Excellence in Teaching 2004, Department of Computer Science and Software Engineering, The University of Melbourne

Recent publications

  1. Sun Y, Kirley M, Halgamuge S. A Recursive Decomposition Method for Large Scale Continuous Optimization. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION. IEEE - Institute of Electrical and Electronic Engineers. 2018, Vol. 22, Issue 5. DOI: 10.1109/TEVC.2017.2778089
  2. Sun Y, Kirley M, Omidvar MN, Li X. Adaptive threshold parameter estimation with recursive differential grouping for problem decomposition. GECCO 2018 - Proceedings of the 2018 Genetic and Evolutionary Computation Conference. 2018. DOI: 10.1145/3205455.3205483
  3. Sun Y, Kirley M, Li X. Cooperative Co-evolution with online optimizer selection for large-scale optimization. GECCO 2018 - Proceedings of the 2018 Genetic and Evolutionary Computation Conference. 2018. DOI: 10.1145/3205455.3205625
  4. Shank DB, Kashima Y, Peters K, Li Y, Robins G, Kirley M. Norm Talk and Human Cooperation: Can We Talk Ourselves Into Cooperation?. Journal of Personality and Social Psychology. American Psychological Association. 2018. DOI: 10.1037/pspi0000163
  5. Sun Y, Kirley M, Halgamuge S. A Memetic Cooperative Co-evolution Model for Large Scale Continuous Optimization. 3rd Australasian Conference on Artificial Life and Computational Intelligence (ACALCI). Springer Verlag. 2017, Vol. 10142. Editors: Wagner M, Li X, Hendtlass T. DOI: 10.1007/978-3-319-51691-2_25
  6. Chica M, Chiong R, Kirley M, Ishibuchi H. A Networked N-player Trust Game and its Evolutionary Dynamics. IEEE Transactions on Evolutionary Computation. IEEE - Institute of Electrical and Electronic Engineers. 2017. DOI: 10.1109/TEVC.2017.2769081
  7. Cruz C, Kirley M, Karakiewicz J. Generation and Exploration of Architectural Form Using a Composite Cellular Automata. 3rd Australasian Conference on Artificial Life and Computational Intelligence (ACALCI). Springer Verlag. 2017, Vol. 10142. Editors: Wagner M, Li X, Hendtlass T. DOI: 10.1007/978-3-319-51691-2_9
  8. Kashima Y, Kirley M, Stivala A, Robins G. Modeling cultural dynamics. Computational Social Psychology. 2017. DOI: 10.4324/9781315173726
  9. Sun Y, Kirley M, Halgamuge S. Quantifying Variable Interactions in Continuous Optimization Problems. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION. IEEE - Institute of Electrical and Electronic Engineers. 2017, Vol. 21, Issue 2. DOI: 10.1109/TEVC.2016.2599164
  10. Von Der Osten F, Kirley M, Miller T. Sustainability is possible despite greed - Exploring the nexus between profitability and sustainability in common pool resource systems. SCIENTIFIC REPORTS. Nature Publishing Group. 2017, Vol. 7, Issue 1. DOI: 10.1038/s41598-017-02151-y
  11. Von Der Osten F, Kirley M, Miller T. The minds of many: Opponent modelling in a stochastic game. IJCAI International Joint Conference on Artificial Intelligence. AAAI Press. 2017.
  12. Cruz C, Karakiewicz J, Kirley M. A Morphogenetic Design Strategy Using a Composite CA Model. Genetic and Evolutionary Computation Conference (GECCO). Association for Computing Machinery Inc.. 2016. Editors: Friedrich T. DOI: 10.1145/2908961.2909058
  13. Varmazyar M, Haritos N, Kirley M. A wavelet-based Bayesian damage identification technique using an evolutionary algorithm. AUSTRALIAN JOURNAL OF STRUCTURAL ENGINEERING. Institution of Engineers Australia. 2016, Vol. 17, Issue 4. DOI: 10.1080/13287982.2016.1259712
  14. Stivala A, Kashima Y, Kirley M. Culture and cooperation in a spatial public goods game. PHYSICAL REVIEW E. American Physical Society. 2016, Vol. 94, Issue 3. DOI: 10.1103/PhysRevE.94.032303
  15. Stivala A, Robins G, Kashima Y, Kirley M. Diversity and Community Can Coexist. AMERICAN JOURNAL OF COMMUNITY PSYCHOLOGY. Springer. 2016, Vol. 57, Issue 1-2. DOI: 10.1002/ajcp.12021

View a full list of publications on the University of Melbourne’s ‘Find An Expert’ profile