MIKHAIL PROKOPENKO
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Selected conference papers
  • S. L. Chang, C. Zachreson, O. M. Cliff, M. Prokopenko, Modelling the third COVID-19 pandemic wave in Australia (Extended Abstract), 24th International Congress on Modelling and Simulation, MODSIM 2021, Sydney, 5 - 10 Dec 2021.
  • C. Zachreson, K. Fair, N. Harding, O. M. Cliff, M. Prokopenko,  Large-scale Agent-based simulations of pandemic influenza in Australia: framework, historical trends, interventions, Conference on Complex Systems (CCS), Singapore, 30 Sept - 4 Oct 2019.
  • S. L. Chang, M. Piraveenan, M. Prokopenko, Imitation dynamics in a SIR-network model with paediatric vaccination, Conference on Complex Systems (CCS), Singapore, 30 Sept - 4 Oct 2019.
  • S. L. Chang, M. Piraveenan, M. Prokopenko, Impact of committed vaccine recipients on vaccination behaviours in a SIR-network model, Conference on Complex Systems (CCS), Singapore, 30 Sept - 4 Oct 2019.
  • B. Slavko, K. Glavatskiy, M. Prokopenko, Detecting phase transitions in urban dynamics: thermodynamics and Fisher information, Conference on Complex Systems (CCS), Singapore, 30 Sept - 4 Oct 2019.
  • M. Prokopenko, P. Wang, Fractals2019: Combinatorial Optimisation with Dynamic Constraint Annealing, RoboCup 2019: Robot World Cup XXIII, 616-630 (Champion paper), Springer-Verlag, 2019;  also: arXiv:1909.01788, 2019.
  • M. Prokopenko, P. Wang,  Gliders2d: Source Code Base for RoboCup 2D Soccer Simulation League, RoboCup 2019: Robot World Cup XXIII, 418-428, Springer-Verlag, 2019;  also:  arXiv:1812.10202, 2018.
  • M. Prokopenko, P. Wang. Disruptive innovations in RoboCup 2D Soccer Simulation League: from Cyberoos'98 to Gliders2016. In  Behnke, S., Sheh, R., Sariel, S., Lee, D. D. (eds.)  RoboCup 2016: Robot World Cup XX, Lecture Notes in Artificial Intelligence, 9976, 529-541 (Champion paper), 2017.
  • Y. Sun, L. F. Rossi, C. Shen, J. Miller, X.R. Wang, J.T. Lizier, U. Senanayake, M. Prokopenko, Information Transfer in Swarms with Leaders, Proceedings of the Collective Intelligence Conference 2014, MIT, 10-12 June, 2014, MIT, 2014.
  • M. Prokopenko, Information Dynamics at the Edge of Chaos: Measures, Examples, and Principles, Proceedings of the 2013 IEEE Symposium on Artificial Life, Singapore, April 2013, 148-152, Springer, 2013.
  • X. R. Wang, J. M. Miller, J. T. Lizier, M. Prokopenko and L. F. Rossi, Measuring Information Storage and Transfer in Swarms, Proceedings of The Eleventh European Conference on the Synthesis and Simulation of Living Systems (ECAL 2011), Paris, 2011. In Advances in Artificial Life, ECAL 2011, Massachusetts Institute of Technology, 838-845, 2011.
  • X. R. Wang, J. T. Lizier and M. Prokopenko, A Fisher Information Study of Phase Transitions in Random Boolean Networks, in H. Fellermann, M. Dörr, M. M. Hanczyc, L. Ladegaard Laursen, S. Maurer, D. Merkle, P.-A. Monnard, K. Stoy and S. Rasmussen (eds.) Artificial Life XII, Proceedings of the Twelfth International Conference on the Synthesis and Simulation of Living Systems, 305-312, MIT Press, 2010.
  • J. T. Lizier, M. Prokopenko and D. J. Cornforth, The information dynamics of cascading failures in energy networks, In Proceedings of European Conference on Complex Systems 2009 (ECCS 09), p. 54, 6 pages, 2009.
  • X. R. Wang, G. Mathews, D. C. Price, M. Prokopenko, Optimising Sensor Layouts for Direct Measurement of Discrete Variables, In Proceedings of The Third IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO 2009), San Francisco, California, September 14-18, 2009,  2009.
  • D. Polani, M. Prokopenko, and M. Chadwick. Modelling Stigmergic Gene Transfer, in S. Bullock, J. Noble, R. Watson, and M. A. Bedau (eds) Artificial Life XI - Proceedings of the Eleventh International Conference on the Simulation and Synthesis of Living Systems, pp. 490-497, MIT Press, 2008.
  • J. T. Lizier, M. Prokopenko, and A. Y. Zomaya. The Information Dynamics of Phase Transitions in Random Boolean Networks, in S. Bullock, J. Noble, R. Watson, and M. A. Bedau (eds) Artificial Life XI - Proceedings of the Eleventh International Conference on the Simulation and Synthesis of Living Systems, pp. 374-381, MIT Press, 2008.
  • M. Prokopenko, A. Zeman, and R. Li, Homeotaxis: Coordination with Persistent Time-Loops, In M. Asada et al. (Eds.), in From Animals to Animats 10: the 10th International Conference on Simulation of Adaptive Behavior (SAB 2008), LNAI 5040, 403–414, Springer, Berlin, Heidelberg, 2008.
  • X. R. Wang, J. Lizier, O. Obst, M. Prokopenko, P. Wang, Spatiotemporal Anomaly Detection in Gas Monitoring Sensor Networks. In R. Verdone (ed.), Proceedings of the 5th European Conference on Wireless Sensor Networks (EWSN-2008), LNCS 4913, pp. 90-105, Springer, 2008.
  • J. Lizier, M. Prokopenko, A. Zomaya. Detecting non-trivial computation in complex dynamics, F. Almeida e Costa, L. M. Rocha, E. Costa, I. Harvey, A. Coutinho (eds). Advances in Artificial Life: 9th European Conference on Artificial Life (ECAL-2007), Lisbon, Portugal, September 10-14, Lecture Notes in Artificial Intelligence, vol. 4648, pp. 895-904, Springer, Berlin, 2007.
  • M. Piraveenan, M. Prokopenko, A. Zomaya. Information-Cloning of Scale-free Networks, F. Almeida e Costa, L. M. Rocha, E. Costa, I. Harvey, A. Coutinho (eds). Advances in Artificial Life: 9th European Conference on Artificial Life (ECAL-2007), Lisbon, Portugal, September 10-14, Lecture Notes in Artificial Intelligence, vol. 4648, pp. 925-935, Springer, Berlin, 2007.
  • M. Piraveenan, D. Polani, M. Prokopenko. Emergence of Genetic Coding: an Information-theoretic Model, in F. Almeida e Costa, L. M. Rocha, E. Costa, I. Harvey, A. Coutinho (eds). Advances in Artificial Life: 9th European Conference on Artificial Life (ECAL-2007), Lisbon, Portugal, September 10-14, Lecture Notes in Artificial Intelligence, vol. 4648, pp. 42-52, Springer, Berlin, 2007.
  • M. Prokopenko, V. Gerasimov, and I. Tanev. Evolving Spatiotemporal Coordination in a Modular Robotic System, in Nolfi, S., Baldassarre, G., Calabretta R., Hallam, J. C. T., Marocco, D., Meyer J.-A., Miglino, O., and Parisi, D., eds. From Animals to Animats 9: 9th International Conference on the Simulation of Adaptive Behavior (SAB 2006), Rome, Italy, Springer, Lecture notes in computer science, vol. 4095, 558-569, 2006.
  • M. Prokopenko, V. Gerasimov, I. Tanev. Measuring Spatiotemporal Coordination in a Modular Robotic System, in Rocha, L.M., Yaeger, L.S., Bedau, M.A., Floreano, D., Goldstone, R.L., Vespignani, A. (eds.), Artificial Life X: Proceedings of The 10th International Conference on the Simulation and Synthesis of Living Systems, Bloomington IN, USA., 185-191, MIT Press, 2006.
  • M. Prokopenko, P. Wang, D. Price (2005). Complexity Metrics for Self-monitoring Impact Sensing Networks. The 2005 NASA/DoD International Conference on Evolvable Hardware (EH-05), Washington D.C., USA, June-July 2005.
  • M. Prokopenko, P. Wang. On Self-referential Shape Replication in Robust Aerospace Vehicles. In Proceedings of the 9th International Conference on the Simulation and Synthesis of Living Systems (ALIFE9), Boston, USA, September 2004.
  • P. Wang, M. Prokopenko. Evolvable Recovery Membranes in Self-Monitoring Aerospace Vehicles. In Proceedings of the 8th International Conference on Simulation of Adaptive Behaviour (SAB-2004), Los Angeles, USA, July 2004.
  • Mark Foreman, Mikhail Prokopenko, Peter Wang. Phase Transitions in Self-organising Sensor Networks. In Proceedings of the 7th European Conference on Artificial Life (ECAL-03), Germany, September 2003.
  • Mikhail Prokopenko, Peter Wang. Evaluating Team Performance at the Edge of Chaos. In Proceedings of the 7th RoboCup-2003 Symposium, Padua, July 2003.
  • Peppas, P., M. Pagnucco, M. Prokopenko, N. Foo, A. Nayak. Preferential Semantics for Causal Systems, in Proceedings of the 15th International Joint Conference on Artificial Intelligence, 118 - 123, 1999.
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