Professor Mikhail Prokopenko

PhD in Computer Science (Macquarie University, Sydney, 2002)
Director, Complex Systems Research Group
School of Civil Engineering
Director, inter-faculty Centre for Complex Systems

J05 - J05 Civil Engineering Building
The University of Sydney

Telephone +61 2 9351 7569

Website Centre for Complex Systems

Complex Systems Research Group

Research Cluster on Complex Systems

Research interests

Complex systems - which include things such as power and data grids, communication and transport systems, social networks and ecosystems - evolve and 'self-organise' over time. This can result in both benefits and challenges. Professor Mikhail Prokopenko's research aims to leverage the benefits while also addressing the challenges.

"Self-organisation is pervasive: individual organisms within a swarm achieve collective coherence out of isolated actions; ecosystems develop spatial structures in order to deal with diminishing resources; and large-scale natural and social systems including bushfires, landslides and disease epidemics feature spontaneous, scale-invariant behaviour.

"Sometimes self-organisation strengthens the overall system, increasing its resilience in the face of external disturbances, adaptability to new tasks and scalability with respect to new constraints, but in some regimes it can also manifest itself as a crisis. Examples of such crises include cascading power failures, loss of data in sensor and communication networks, traffic disruptions, epidemic outbreaks and ecosystem collapses.

"The general objective of my research is to alleviate these problems by understanding and computational modelling of the critical phenomena intrinsic to self-organisation, and ultimately increase the robustness and resilience of a diverse range of complex systems from digital circuitry to power grids to social networks.

"This will result in increased productivity, lower maintenance costs, less downtime and greater overall safety and reliability, as well as contribute to global health and sustainability by identifying more timely and precise emergency interventions during socio-ecological, socio-economic and technological system crises.

"Studying how order is created out of interactions, despite a relentlessly increasing flow of entropy, is one of the most rewarding scientific experiences, and finding ways to guide processes that seemingly spontaneously self-organise, towards desirable outcomes is among the most complex of engineering tasks.

"I joined the University of Sydney in 2014, having worked prior with CSIRO for 20 years. This has allowed me to concentrate on strategic research full time within a highly collaborative environment. This hopefully will enable me to have a significant impact on advancing national and international research into complex systems, by enhancing my ability to productively interact across disciplines and research institutions."

Teaching and supervision

Postgraduate Program on Complex Systems:

Current research students

Project title Research student
A Robotic Framework Derived from the Principles of Complex Systems Dynamics Oliver CLIFF
Information Dynamics and Guided Self-Organisation of Collective Motion Emanuele CROSATO
Agent-based modeling, simulation and forecasting of epidemics E. Yagmur ERTEN
Identifying the synergistic information interactions of distributed computation in complex systems Conor FINN
Studies of critical dynamics in large-scale epidemics in Australia Nathan HARDING

Associations

  • Fellow of Royal Society of New South Wales
  • Specialty Chief Editor of Computational Intelligence section in Frontiers of Robotics and AI, in partnership with Nature Publishing Group
  • senior member of IEEE
  • member of IEEE Information Theory Society
  • member of the International Society for Adaptive Behavior (ISAB)
  • COSNet: Complex Open Systems ARC Network (established 2004)
  • an editor of special issues on Guided Self-Organization in Entropy (2014), Advances in Complex Systems (2012); Theory in Biosciences (2011) and HFSP Journal (2009)
  • an editor of a special issue on Complex networks in Artificial Life (2011)
  • a section editor for Encyclopedia of Machine Learning (Evolutionary Computation) (2010)
  • a member of Editorial board of Encyclopedia of Machine Learning and Data Mining (2013)

Awards and honours

  • RoboCup-2016 (Leipzig, Germany): World Championship in Simulation League 2D, team Gliders2016
  • RoboCup-2015 (Hefei, China): 3rd Place in Simulation League 2D, team Gliders2015
  • RoboCup-2014 (Joao Pessoa, Brazil): 2nd Place in Simulation League 2D, team Gliders2014
  • RoboCup Dutch Open 2012 (Eindhoven, The Netherlands): 2nd Place in Simulation League 2D, team Gliders2012
  • 2011 CSIRO ICT Centre Chief Scientist’s Award (highest number of journal publications with impact factor)
  • Research Grant from Max Planck Institute for Mathematics in the Sciences (Leipzig, Germany, July-October 2009)
  • 2008 CSIRO "Go for Growth” Award, ICT Centre, Autonomous Systems
  • 2008 CSIRO ICT Centre Publishing Award, for scientific excellence and outstanding contributions both within the ICT Centre and to the international research community
  • Most Innovative Technology - The 2004 AJB CEBIT Exhibition Award - Ageless Aerospace Vehicles, 2004
  • Teamwork award - CSIRO Telecommunications and Industrial Physics Divisional Award to the Ageless Aerospace Vehicle (AAV) Team, June 2003
  • JSAI (Japanese Society for Artificial Intelligence) Award for scientific contribution to the RoboCup Simulation League, 2002 - for the work on entropy of joint beliefs as a measure of multi-agent coordination potential
  • Certificate of Recognition of the Missouri Chapter of the Fulbright Association and the University of Missouri-Columbia for the participation with distinction as 1992 - 1994 Edmund S. Muskie Fellow in a Fulbright Program of International Research and Cooperation (Columbia, Missouri, USA, 1994)
  • Two-year Benjamin Franklin Fellowship Grant (USA, 1992)

In the media

    International collaboration


      Domestic collaboration


        Industry engagement

          Themes

          Complex systems

          Selected grants

          2017

          • Australian housing market risks: simulation, modelling and analysis; Harre M, Prokopenko M, Farmer J, Ormerod P, Brede M; Australian Research Council (ARC)/Discovery Projects (DP).
          • CRISIS: Crisis Response in Interdependent Social-Infrastructure Systems; Prokopenko M, Goldani Altmann E, Bunker D, Fletcher R, Lizier J, Nigmatullin R, Miles R, Penny D, Sarkar S, Sleigh A; DVC Research/Sydney Research Excellence Initiative 2020 (SREI).

          2016

          • Large-scale computational modelling of epidemics in Australia; Prokopenko M, Pattison P, Gambhir M, Lizier J, Piraveenan M; Australian Research Council (ARC)/Discovery Projects (DP).

          Selected publications

          Download citations: PDF RTF Endnote

          Edited Books

          • Prokopenko, M. (2014). Guided Self-Organisation: Inception. germany: Springer-Verlag.

          Book Chapters

          • Lizier, J., Prokopenko, M., Zomaya, A. (2014). A Framework for the Local Information Dynamics of Distributed Computation in Complex Systems. In Mikhail Prokopenko (Eds.), Guided Self-Organization: Inception, (pp. 115-158). Berlin, Germany: Springer-Verlag.
          • Miller, J., Wang, R., Lizier, J., Prokopenko, M., Rossi, L. (2014). Measuring Information Dynamics in Swarms. In Mikhail Prokopenko (Eds.), Guided Self-Organization: Inception, (pp. 343-364). Berlin, Germany: Springer-Verlag.
          • Prokopenko, M., Polani, D., Ay, N. (2014). On the Cross-Disciplinary Nature of Guided Self-Organisation. In Mikhail Prokopenko (Eds.), Guided Self-Organization: Inception, (pp. 3-15). Berlin, Germany: Springer-Verlag.
          • Prokopenko, M. (2013). Design Versus Self-Organization. In Mikhail Prokopenko (Eds.), Advances in Applied Self-Organizing Systems, Second Edition, (pp. 3-21). London: Springer-Verlag. [More Information]
          • Adamatzky, A., Akl, S., Alonso-Sanz, R., van Dessel, W., Ibrahim, Z., Ilachinski, A., Jones, J., Kayem, A., Martinez, G., de Oliveira, P., et al (2012). Biorationality of motorways. In A Adamatzky (Eds.), Bioevaluation of World Transport Networks, (pp. 309-325). Singapore: World Scientific Publishing.
          • Adamatzky, A., Prokopenko, M. (2012). Tracing historical development of Australian highways. In A Adamatzky (Eds.), Bioevaluation of World Transport Networks, (pp. 47-68). Singapore: World Scientific Publishing.
          • Mathews, G., Durrant-Whyte, H., Prokopenko, M. (2008). Decentralised decision making for multiagent systems. In Mikhail Prokopenko (Eds.), Advances in Applied Self-organizing Systems, (pp. 77-103). London: Springer.
          • Mathews, G., Durrant-Whyte, H., Prokopenko, M. (2005). Measuring Global Behaviour of Multi-Agent Systems from Pair-Wise Mutual Information. In Rajiv Khosla, Robert Howlett, Lakhmi Jain (Eds.), Knowledge-Based Intelligent Information and Engineering Systems: 9th International Conference, KES 2005, Melbourne, Australia, September 14-16, 2005, Proceedings, Part II, (pp. 587-594). Germany: Springer.

          Journals

          • Cliff, O., Lizier, J., Wang, R., Wang, P., Obst, O., Prokopenko, M. (2017). Quantifying Long-Range Interactions and Coherent Structure in Multi-Agent Dynamics. Artificial Life, 23(1), 34-57. [More Information]
          • Spinney, R., Prokopenko, M., Lizier, J. (2017). Transfer entropy in continuous time, with applications to jump and neural spiking processes. Physical Review E, 95(3), 032319:1-032319:21. [More Information]
          • Cliff, O., Prokopenko, M., Fitch, R. (2016). An Information Criterion for Inferring Coupling of Distributed Dynamical Systems. Frontiers in Robotics and AI, 3, 1-9. [More Information]
          • Harre, M., Prokopenko, M. (2016). The social brain: scale-invariant layering of Erdos-Renyi networks in small-scale human societies. Journal of the Royal Society Interface, 13(118), 1-6. [More Information]
          • Spinney, R., Lizier, J., Prokopenko, M. (2016). Transfer entropy in physical systems and the arrow of time. Physical Review E, 94(2), 1-15. [More Information]
          • Prokopenko, M., Barnett, L., Harre, M., Lizier, J., Obst, O., Wang, X. (2015). Fisher Transfer Entropy: Quantifying the gain in transient sensitivity. Proceedings of the Royal Society A, 471(2184), 1-14. [More Information]
          • Prokopenko, M., Einav, I. (2015). Information thermodynamics of near-equilibrium computation. Physical Review E, 91(6), 1-8. [More Information]
          • Budden, D., Wang, P., Obst, O., Prokopenko, M. (2015). RoboCup Simulation Leagues: Enabling Replicable and Robust Investigation of Complex Robotic Systems. IEEE Robotics and Automation Magazine, 22(3), 140-146. [More Information]
          • Salge, C., Ay, N., Polani, D., Prokopenko, M. (2015). Zipf's law: Balancing signal usage cost and communication efficiency. PloS One, 10(10), 1-14. [More Information]
          • Prokopenko, M., Gershenson, C. (2014). Entropy methods in guided self-organisation. Entropy, 16(10), 5232-5241-5232-5241. [More Information]
          • Wang, X., Lizier, J., Nowotny, T., Berna, A., Prokopenko, M., Trowell, S. (2014). Feature selection for chemical sensor arrays using mutual information. PloS One, 9(3), 1-17. [More Information]
          • Prokopenko, M. (2014). Grand challenges for computational intelligence. Frontiers in Robotics and AI, 1, 1-3. [More Information]
          • Prokopenko, M., Lizier, J. (2014). Transfer entropy and transient limits of computation. Scientific Reports, 4, 1-7. [More Information]
          • Adamatzky, A., Akl, S., Alonso-Sanz, R., Dessel, W., Ibrahim, Z., Ilachinski, A., Jones, J., Kayem, A., Marti´nez, G., Oliveira, P., et al (2013). Are motorways rational from slime mould's point of view? International Journal of Parallel, Emergent and Distributed Systems, 28(3), 230-248. [More Information]
          • Cupac, V., Lizier, J., Prokopenko, M. (2013). Comparing dynamics of cascading failures between network-centric and power flow models. Electrical Power and Energy Systems, 49(1), 369-379. [More Information]
          • Polani, D., Prokopenko, M., Yaeger, L. (2013). Information and self-organization of behavior. Advances in Complex Systems, 16(2-3), 1-12. [More Information]
          • Prokopenko, M., Lizier, J., Price, D. (2013). On thermodynamic interpretation of transfer entropy. Entropy, 15(2), 524-543. [More Information]
          • Piraveenan, M., Prokopenko, M., Hossain, L. (2013). Percolation Centrality: Quantifying Graph-Theoretic Impact of Nodes during Percolation in Networks. PloS One, 8(1), 1-14. [More Information]
          • Piraveenan, M., Prokopenko, M., Zomaya, A. (2012). Assortative mixing in directed biological networks. IEEE - ACM Transactions on Computational Biology and Bioinformatics, 9(1), 66-78. [More Information]
          • Lizier, J., Prokopenko, M., Zomaya, A. (2012). Coherent information structure in complex computation. Theory in Biosciences, 131(3), 193-203. [More Information]
          • Ay, N., Der, R., Prokopenko, M. (2012). Guided self-organization: Perception-action loops of embodied systems. Theory in Biosciences, 131(3), 125-127. [More Information]
          • Ay, N., Bernigau, H., Der, R., Prokopenko, M. (2012). Information-driven self-organization: The dynamical system approach to autonomous robot behavior. Theory in Biosciences, 131(3), 161-179. [More Information]
          • Lizier, J., Prokopenko, M., Zomaya, A. (2012). Local measures of information storage in complex distributed computation. Information Sciences, 208(2012), 39-54. [More Information]
          • Piraveenan, M., Prokopenko, M., Zomaya, A. (2012). On Congruity of Nodes and Assortative Information Content in Complex Networks. Networks and Heterogeneous Media, 7(3), 441-461. [More Information]
          • Wang, X., Miller, J., Lizier, J., Prokopenko, M., Rossi, L. (2012). Quantifying and Tracing Information Cascades in Swarms. PloS One, 7(7), 1-7. [More Information]
          • Adamatzky, A., Prokopenko, M. (2012). Slime mould evaluation of Australian motorways. International Journal of Parallel, Emergent and Distributed Systems, 27(4), 275-295. [More Information]
          • Gershenson, C., Prokopenko, M. (2011). Complex networks. Artificial Life, 17(4), 259-261. [More Information]
          • Wang, X., Lizier, J., Prokopenko, M. (2011). Fisher information at the edge of chaos in random boolean networks. Artificial Life, 17(4), 315-329. [More Information]
          • Lizier, J., Pritam, S., Prokopenko, M. (2011). Information dynamics in small-world boolean networks. Artificial Life, 17(4), 293-314. [More Information]
          • Lizier, J., Heinzle, J., Horstmann, A., Haynes, J., Prokopenko, M. (2011). Multivariate information-theoretic measures reveal directed information structure and task relevant changes in fMRI connectivity. Journal of Computational Neuroscience, 30(1), 85-107. [More Information]
          • Prokopenko, M., Lizier, J., Obst, O., Wang, X. (2011). Relating Fisher information to order parameters. Physical Review E, 84(4), 1-10. [More Information]
          • Lizier, J., Prokopenko, M. (2010). Differentiating Information Transfer and Causal Effect. European Physical Journal B, 73(4), 605-615. [More Information]
          • Lizier, J., Prokopenko, M., Zomaya, A. (2010). Information modification and particle collisions in distributed computation. Chaos, 20(3), 1-13. [More Information]
          • Piraveenan, M., Prokopenko, M., Zomaya, A. (2010). Local assortativeness in scale-free networks (Addendum). EPL, 89(4), 49901 -1-49901 -2. [More Information]
          • Prokopenko, M., Ay, N., Obst, O., Polani, D. (2010). Phase transitions in least-effort communications. Journal of Statistical Mechanics, (11). [More Information]
          • Prokopenko, M., Boschetti, F., Ryan, A. (2009). An information-theoretic primer on complexity, self-organization, and emergence. Complexity, 15(1), 11-28. [More Information]
          • Piraveenan, M., Prokopenko, M., Zomaya, A. (2009). Assortativeness and information in scale-free networks. European Physical Journal B, 67(3), 291-300. [More Information]
          • Mathews, G., Durrant-Whyte, H., Prokopenko, M. (2009). Decentralised decision making in heterogeneous teams using anonymous optimisation. Robotics and Autonomous Systems, 57(3), 310-320. [More Information]
          • Piraveenan, M., Prokopenko, M., Zomaya, A. (2009). Local assortativity and growth of Internet. European Physical Journal B, 70(2), 275-285. [More Information]
          • Prokopenko, M., Polani, D., Chadwick, M. (2009). Stigmergic gene transfer and emergence of universal coding. HFSP Journal, 3(5), 317-327. [More Information]
          • Piraveenan, M., Prokopenko, M., Zomaya, A. (2008). Local Assortativeness in Scale-Free Networks. EPL, 84(2), 28002-p1-28002-p6. [More Information]
          • Lizier, J., Prokopenko, M., Zomaya, A. (2008). Local information transfer as a spatiotemporal filter for complex systems. Physical Review E, 77(2), 026110-1-026110-11. [More Information]

          Conferences

          • Nakashima, T., Mifune, S., Henrio, J., Obst, O., Wang, P., Prokopenko, M. (2015). Kick extraction for reducing uncertainty in RoboCup logs. 17th International Conference on Human-Computer Interaction (HCI International 2015), Cham: Springer. [More Information]
          • Budden, D., Wang, P., Obst, O., Prokopenko, M. (2015). Simulation leagues: Analysis of competition formats. 18th Annual RoboCup International Symposium, Germany: Springer-Verlag. [More Information]
          • Nowotny, T., Berna, A., Binions, R., Wang, X., Lizier, J., Prokopenko, M., Trowell, S. (2014). Feature selection in Enose applications. 1st International Workshop on Odor Spaces, United Kingdom: BioMed Central. [More Information]
          • Budden, D., Prokopenko, M. (2014). Improved Particle Filtering for Pseudo-Uniform Belief Distributions in Robot Localisation. RoboCup 2013: Robot World Cup XVII: 17th RoboCup International Symposium, Berlin, Heidelberg: Springer Verlag. [More Information]
          • Sun, Y., Rossi, L., Shen, C., Miller, J., Wang, X., Lizier, J., Prokopenko, M., Senanayake, U. (2014). Information Transfer in Swarms with Leaders. Collective Intelligence Conference 2014, Cambridge, USA: Collective Intelligence 2014.
          • Cliff, O., Lizier, J., Wang, R., Wang, P., Obst, O., Prokopenko, M. (2014). Towards Quantifying Interaction Networks in a Football Match. RoboCup 2013: Robot World Cup XVII: 17th RoboCup International Symposium, Berlin, Heidelberg: Springer Verlag. [More Information]
          • Prokopenko, M., Obst, O., Wang, P., Budden, D., Cliff, O. (2013). Gliders2013: Tactical analysis with information dynamics. RoboCup 2013: Robot World Cup XVII: 17th RoboCup International Symposium, Berlin, Heidelberg: Springer Verlag.
          • Prokopenko, M. (2013). Information Dynamics at the Edge of Chaos: Measures, Examples, and Principles. 2013 IEEE Symposium on Artificial Life (ALife), Piscataway: (IEEE) Institute of Electrical and Electronics Engineers. [More Information]
          • Lizier, J., Pritam, S., Prokopenko, M. (2011). Computational capabilities of small-world Boolean networks. The Eleventh European Conference on the Synthesis and Simulation of Living Systems (ECAL 2011), Cambridge, Massachusetts: Massachusetts Institute of Technology.
          • Lizier, J., Piraveenan, M., Pradhana, D., Prokopenko, M., Yaeger, L. (2011). Functional and structural topologies in evolved neural networks. 10th European Conference of Artificial Life, ECAL 2009, Berlin, Heidelberg: Springer. [More Information]
          • Rubinov, M., Lizier, J., Prokopenko, M., Breakspear, M. (2011). Maximized directed information transfer in critical neuronal networks. 12th Annual Computational Neuroscience Meeting, Stockholm: BioMed Central Ltd. [More Information]
          • Wang, X., Miller, J., Lizier, J., Prokopenko, M., Rossi, L. (2011). Measuring Information Storage and Transfer in Swarms. The Eleventh European Conference on the Synthesis and Simulation of Living Systems (ECAL 2011), Cambridge, Massachusetts: Massachusetts Institute of Technology.
          • Obst, O., Polani, D., Prokopenko, M. (2011). Origins of Scaling in Genetic Code. 10th European Conference of Artificial Life, ECAL 2009, Berlin, Heidelberg: Springer. [More Information]
          • Lizier, J., Heinzle, J., Soon, C., Haynes, J., Prokopenko, M. (2011). Spatiotemporal information transfer pattern differences in motor selection. 12th Annual Computational Neuroscience Meeting, Stockholm: BioMed Central Ltd. [More Information]
          • Wang, X., Lizier, J., Prokopenko, M. (2010). A Fisher Information Study of Phase Transitions in Random Boolean Networks. The Twelfth International Conference on the Synthesis and Simulation of Living Systems, ALIFE 2010, Denmark: MIT Press.
          • Piraveenan, M., Prokopenko, M., Zomaya, A. (2010). Classifying Complex Networks using Unbiased Local Assortativity. The Twelfth International Conference on the Synthesis and Simulation of Living Systems, ALIFE 2010, Denmark: MIT Press.
          • Lizier, J., Haynes, J., Heinzle, J., Prokopenko, M. (2009). Directed information structure in inter-regional cortical interactions in a visuomotor tracking task. 12th Annual Computational Neuroscience Meeting, Stockholm: BioMed Central Ltd. [More Information]
          • Wang, R., Mathews, G., Price, D., Prokopenko, M. (2009). Optimising Sensor Layouts for Direct Measurement of Discrete Variables. 3rd IEEE International Conference on Self-Adaptive and Self-Organizing Systems SASO 2009, United States: (IEEE) Institute of Electrical and Electronics Engineers. [More Information]
          • Lizier, J., Prokopenko, M., Cornforth, D. (2009). The information dynamics of cascading failures in energy networks. European Conference on Complex Systems 2009 (ECCS’09), Warwick, United Kingdom: European Conference on Complex Systems.
          • Lizier, J., Prokopenko, M., Tanev, I., Zomaya, A. (2008). Emergence of Glider-like Structures in a Modular Robotic System. Eleventh International Conference on the Simulation and Synthesis of Living Systems (ALIFE XI), Cambridge, Massachusetts & London, UK: The MIT Press.
          • Wang, X., Lizier, J., Obst, O., Prokopenko, M., Wang, P. (2008). Spatiotemporal Anomaly Detection in Gas Monitoring Sensor Networks. 5th European Conference on Wireless Sensor Networks (EWSN 2008), Germany: Springer. [More Information]
          • Lizier, J., Prokopenko, M., Zomaya, A. (2008). The Information Dynamics of Phase Transitions in Random Boolean Networks. Eleventh International Conference on the Simulation and Synthesis of Living Systems (ALIFE XI), Cambridge, Massachusetts & London, UK: The MIT Press.
          • Mathews, G., Durrant-Whyte, H., Prokopenko, M. (2007). Asynchronous Gradient-Based Optimisation for Team Decision Making. 46th IEEE Conference on Decision and Control (CDC), USA: (IEEE) Institute of Electrical and Electronics Engineers.
          • Lizier, J., Prokopenko, M., Zomaya, A. (2007). Detecting Non-trivial Computation in Complex Dynamics. 9th European Conference on Artificial Life ECAL 2007, Germany: Springer.
          • Piraveenan, M., Polani, D., Prokopenko, M. (2007). Emergence of Genetic Coding: An Information-Theoretic Model. 9th European Conference on Artificial Life ECAL 2007, Germany: Springer. [More Information]
          • Lizier, J., Prokopenko, M., Zomaya, A. (2007). Information Transfer by Particles in Cellular Automata. Third Australian Conference on Artificial Life (ACAL 2007), Berlin, Germany: Springer.
          • Piraveenan, M., Prokopenko, M., Zomaya, A. (2007). Information-Cloning of Scale-Free Networks. 9th European Conference on Artificial Life ECAL 2007, Germany: Springer.
          • Mathews, G., Durrant-Whyte, H., Prokopenko, M. (2006). Scalable Decentralised Decision Making and Optimisation in Heterogeneous Teams. 2006 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, Germany: (IEEE) Institute of Electrical and Electronics Engineers.
          • Prokopenko, M., Piraveenan, M., Wang, P. (2005). On Convergence of Dynamic Cluster Formation in Multi-agent Networks. 8th European Conference on Artificial Life, ECAL 2005, Berlin, Germany: Springer. [More Information]
          • Piraveenan, M., Prokopenko, M., Wang, P., Price, D. (2005). On Decentralised Clustering in Self-monitoring Networks. The 4th International Joint Conference on Autonomous Agents and Multi-agent Systems (AAMAS2005).
          • Piraveenan, M., Prokopenko, M., Wang, P., Price, D. (2005). Towards Adaptive Clustering in Self-monitoring Multi-agent Networks. Knowledge-Based Intelligent Information and Engineering Systems, KES20059th International Conference, KES 2005, Berlin, Germany: Springer. [More Information]

          2017

          • Cliff, O., Lizier, J., Wang, R., Wang, P., Obst, O., Prokopenko, M. (2017). Quantifying Long-Range Interactions and Coherent Structure in Multi-Agent Dynamics. Artificial Life, 23(1), 34-57. [More Information]
          • Spinney, R., Prokopenko, M., Lizier, J. (2017). Transfer entropy in continuous time, with applications to jump and neural spiking processes. Physical Review E, 95(3), 032319:1-032319:21. [More Information]

          2016

          • Cliff, O., Prokopenko, M., Fitch, R. (2016). An Information Criterion for Inferring Coupling of Distributed Dynamical Systems. Frontiers in Robotics and AI, 3, 1-9. [More Information]
          • Harre, M., Prokopenko, M. (2016). The social brain: scale-invariant layering of Erdos-Renyi networks in small-scale human societies. Journal of the Royal Society Interface, 13(118), 1-6. [More Information]
          • Spinney, R., Lizier, J., Prokopenko, M. (2016). Transfer entropy in physical systems and the arrow of time. Physical Review E, 94(2), 1-15. [More Information]

          2015

          • Prokopenko, M., Barnett, L., Harre, M., Lizier, J., Obst, O., Wang, X. (2015). Fisher Transfer Entropy: Quantifying the gain in transient sensitivity. Proceedings of the Royal Society A, 471(2184), 1-14. [More Information]
          • Prokopenko, M., Einav, I. (2015). Information thermodynamics of near-equilibrium computation. Physical Review E, 91(6), 1-8. [More Information]
          • Nakashima, T., Mifune, S., Henrio, J., Obst, O., Wang, P., Prokopenko, M. (2015). Kick extraction for reducing uncertainty in RoboCup logs. 17th International Conference on Human-Computer Interaction (HCI International 2015), Cham: Springer. [More Information]
          • Budden, D., Wang, P., Obst, O., Prokopenko, M. (2015). RoboCup Simulation Leagues: Enabling Replicable and Robust Investigation of Complex Robotic Systems. IEEE Robotics and Automation Magazine, 22(3), 140-146. [More Information]
          • Budden, D., Wang, P., Obst, O., Prokopenko, M. (2015). Simulation leagues: Analysis of competition formats. 18th Annual RoboCup International Symposium, Germany: Springer-Verlag. [More Information]
          • Salge, C., Ay, N., Polani, D., Prokopenko, M. (2015). Zipf's law: Balancing signal usage cost and communication efficiency. PloS One, 10(10), 1-14. [More Information]

          2014

          • Lizier, J., Prokopenko, M., Zomaya, A. (2014). A Framework for the Local Information Dynamics of Distributed Computation in Complex Systems. In Mikhail Prokopenko (Eds.), Guided Self-Organization: Inception, (pp. 115-158). Berlin, Germany: Springer-Verlag.
          • Prokopenko, M., Gershenson, C. (2014). Entropy methods in guided self-organisation. Entropy, 16(10), 5232-5241-5232-5241. [More Information]
          • Wang, X., Lizier, J., Nowotny, T., Berna, A., Prokopenko, M., Trowell, S. (2014). Feature selection for chemical sensor arrays using mutual information. PloS One, 9(3), 1-17. [More Information]
          • Nowotny, T., Berna, A., Binions, R., Wang, X., Lizier, J., Prokopenko, M., Trowell, S. (2014). Feature selection in Enose applications. 1st International Workshop on Odor Spaces, United Kingdom: BioMed Central. [More Information]
          • Prokopenko, M. (2014). Grand challenges for computational intelligence. Frontiers in Robotics and AI, 1, 1-3. [More Information]
          • Prokopenko, M. (2014). Guided Self-Organisation: Inception. germany: Springer-Verlag.
          • Budden, D., Prokopenko, M. (2014). Improved Particle Filtering for Pseudo-Uniform Belief Distributions in Robot Localisation. RoboCup 2013: Robot World Cup XVII: 17th RoboCup International Symposium, Berlin, Heidelberg: Springer Verlag. [More Information]
          • Sun, Y., Rossi, L., Shen, C., Miller, J., Wang, X., Lizier, J., Prokopenko, M., Senanayake, U. (2014). Information Transfer in Swarms with Leaders. Collective Intelligence Conference 2014, Cambridge, USA: Collective Intelligence 2014.
          • Miller, J., Wang, R., Lizier, J., Prokopenko, M., Rossi, L. (2014). Measuring Information Dynamics in Swarms. In Mikhail Prokopenko (Eds.), Guided Self-Organization: Inception, (pp. 343-364). Berlin, Germany: Springer-Verlag.
          • Prokopenko, M., Polani, D., Ay, N. (2014). On the Cross-Disciplinary Nature of Guided Self-Organisation. In Mikhail Prokopenko (Eds.), Guided Self-Organization: Inception, (pp. 3-15). Berlin, Germany: Springer-Verlag.
          • Cliff, O., Lizier, J., Wang, R., Wang, P., Obst, O., Prokopenko, M. (2014). Towards Quantifying Interaction Networks in a Football Match. RoboCup 2013: Robot World Cup XVII: 17th RoboCup International Symposium, Berlin, Heidelberg: Springer Verlag. [More Information]
          • Prokopenko, M., Lizier, J. (2014). Transfer entropy and transient limits of computation. Scientific Reports, 4, 1-7. [More Information]

          2013

          • Adamatzky, A., Akl, S., Alonso-Sanz, R., Dessel, W., Ibrahim, Z., Ilachinski, A., Jones, J., Kayem, A., Marti´nez, G., Oliveira, P., et al (2013). Are motorways rational from slime mould's point of view? International Journal of Parallel, Emergent and Distributed Systems, 28(3), 230-248. [More Information]
          • Cupac, V., Lizier, J., Prokopenko, M. (2013). Comparing dynamics of cascading failures between network-centric and power flow models. Electrical Power and Energy Systems, 49(1), 369-379. [More Information]
          • Prokopenko, M. (2013). Design Versus Self-Organization. In Mikhail Prokopenko (Eds.), Advances in Applied Self-Organizing Systems, Second Edition, (pp. 3-21). London: Springer-Verlag. [More Information]
          • Prokopenko, M., Obst, O., Wang, P., Budden, D., Cliff, O. (2013). Gliders2013: Tactical analysis with information dynamics. RoboCup 2013: Robot World Cup XVII: 17th RoboCup International Symposium, Berlin, Heidelberg: Springer Verlag.
          • Polani, D., Prokopenko, M., Yaeger, L. (2013). Information and self-organization of behavior. Advances in Complex Systems, 16(2-3), 1-12. [More Information]
          • Prokopenko, M. (2013). Information Dynamics at the Edge of Chaos: Measures, Examples, and Principles. 2013 IEEE Symposium on Artificial Life (ALife), Piscataway: (IEEE) Institute of Electrical and Electronics Engineers. [More Information]
          • Prokopenko, M., Lizier, J., Price, D. (2013). On thermodynamic interpretation of transfer entropy. Entropy, 15(2), 524-543. [More Information]
          • Piraveenan, M., Prokopenko, M., Hossain, L. (2013). Percolation Centrality: Quantifying Graph-Theoretic Impact of Nodes during Percolation in Networks. PloS One, 8(1), 1-14. [More Information]

          2012

          • Piraveenan, M., Prokopenko, M., Zomaya, A. (2012). Assortative mixing in directed biological networks. IEEE - ACM Transactions on Computational Biology and Bioinformatics, 9(1), 66-78. [More Information]
          • Adamatzky, A., Akl, S., Alonso-Sanz, R., van Dessel, W., Ibrahim, Z., Ilachinski, A., Jones, J., Kayem, A., Martinez, G., de Oliveira, P., et al (2012). Biorationality of motorways. In A Adamatzky (Eds.), Bioevaluation of World Transport Networks, (pp. 309-325). Singapore: World Scientific Publishing.
          • Lizier, J., Prokopenko, M., Zomaya, A. (2012). Coherent information structure in complex computation. Theory in Biosciences, 131(3), 193-203. [More Information]
          • Ay, N., Der, R., Prokopenko, M. (2012). Guided self-organization: Perception-action loops of embodied systems. Theory in Biosciences, 131(3), 125-127. [More Information]
          • Ay, N., Bernigau, H., Der, R., Prokopenko, M. (2012). Information-driven self-organization: The dynamical system approach to autonomous robot behavior. Theory in Biosciences, 131(3), 161-179. [More Information]
          • Lizier, J., Prokopenko, M., Zomaya, A. (2012). Local measures of information storage in complex distributed computation. Information Sciences, 208(2012), 39-54. [More Information]
          • Piraveenan, M., Prokopenko, M., Zomaya, A. (2012). On Congruity of Nodes and Assortative Information Content in Complex Networks. Networks and Heterogeneous Media, 7(3), 441-461. [More Information]
          • Wang, X., Miller, J., Lizier, J., Prokopenko, M., Rossi, L. (2012). Quantifying and Tracing Information Cascades in Swarms. PloS One, 7(7), 1-7. [More Information]
          • Adamatzky, A., Prokopenko, M. (2012). Slime mould evaluation of Australian motorways. International Journal of Parallel, Emergent and Distributed Systems, 27(4), 275-295. [More Information]
          • Adamatzky, A., Prokopenko, M. (2012). Tracing historical development of Australian highways. In A Adamatzky (Eds.), Bioevaluation of World Transport Networks, (pp. 47-68). Singapore: World Scientific Publishing.

          2011

          • Gershenson, C., Prokopenko, M. (2011). Complex networks. Artificial Life, 17(4), 259-261. [More Information]
          • Lizier, J., Pritam, S., Prokopenko, M. (2011). Computational capabilities of small-world Boolean networks. The Eleventh European Conference on the Synthesis and Simulation of Living Systems (ECAL 2011), Cambridge, Massachusetts: Massachusetts Institute of Technology.
          • Wang, X., Lizier, J., Prokopenko, M. (2011). Fisher information at the edge of chaos in random boolean networks. Artificial Life, 17(4), 315-329. [More Information]
          • Lizier, J., Piraveenan, M., Pradhana, D., Prokopenko, M., Yaeger, L. (2011). Functional and structural topologies in evolved neural networks. 10th European Conference of Artificial Life, ECAL 2009, Berlin, Heidelberg: Springer. [More Information]
          • Lizier, J., Pritam, S., Prokopenko, M. (2011). Information dynamics in small-world boolean networks. Artificial Life, 17(4), 293-314. [More Information]
          • Rubinov, M., Lizier, J., Prokopenko, M., Breakspear, M. (2011). Maximized directed information transfer in critical neuronal networks. 12th Annual Computational Neuroscience Meeting, Stockholm: BioMed Central Ltd. [More Information]
          • Wang, X., Miller, J., Lizier, J., Prokopenko, M., Rossi, L. (2011). Measuring Information Storage and Transfer in Swarms. The Eleventh European Conference on the Synthesis and Simulation of Living Systems (ECAL 2011), Cambridge, Massachusetts: Massachusetts Institute of Technology.
          • Lizier, J., Heinzle, J., Horstmann, A., Haynes, J., Prokopenko, M. (2011). Multivariate information-theoretic measures reveal directed information structure and task relevant changes in fMRI connectivity. Journal of Computational Neuroscience, 30(1), 85-107. [More Information]
          • Obst, O., Polani, D., Prokopenko, M. (2011). Origins of Scaling in Genetic Code. 10th European Conference of Artificial Life, ECAL 2009, Berlin, Heidelberg: Springer. [More Information]
          • Prokopenko, M., Lizier, J., Obst, O., Wang, X. (2011). Relating Fisher information to order parameters. Physical Review E, 84(4), 1-10. [More Information]
          • Lizier, J., Heinzle, J., Soon, C., Haynes, J., Prokopenko, M. (2011). Spatiotemporal information transfer pattern differences in motor selection. 12th Annual Computational Neuroscience Meeting, Stockholm: BioMed Central Ltd. [More Information]

          2010

          • Wang, X., Lizier, J., Prokopenko, M. (2010). A Fisher Information Study of Phase Transitions in Random Boolean Networks. The Twelfth International Conference on the Synthesis and Simulation of Living Systems, ALIFE 2010, Denmark: MIT Press.
          • Piraveenan, M., Prokopenko, M., Zomaya, A. (2010). Classifying Complex Networks using Unbiased Local Assortativity. The Twelfth International Conference on the Synthesis and Simulation of Living Systems, ALIFE 2010, Denmark: MIT Press.
          • Lizier, J., Prokopenko, M. (2010). Differentiating Information Transfer and Causal Effect. European Physical Journal B, 73(4), 605-615. [More Information]
          • Lizier, J., Prokopenko, M., Zomaya, A. (2010). Information modification and particle collisions in distributed computation. Chaos, 20(3), 1-13. [More Information]
          • Piraveenan, M., Prokopenko, M., Zomaya, A. (2010). Local assortativeness in scale-free networks (Addendum). EPL, 89(4), 49901 -1-49901 -2. [More Information]
          • Prokopenko, M., Ay, N., Obst, O., Polani, D. (2010). Phase transitions in least-effort communications. Journal of Statistical Mechanics, (11). [More Information]

          2009

          • Prokopenko, M., Boschetti, F., Ryan, A. (2009). An information-theoretic primer on complexity, self-organization, and emergence. Complexity, 15(1), 11-28. [More Information]
          • Piraveenan, M., Prokopenko, M., Zomaya, A. (2009). Assortativeness and information in scale-free networks. European Physical Journal B, 67(3), 291-300. [More Information]
          • Mathews, G., Durrant-Whyte, H., Prokopenko, M. (2009). Decentralised decision making in heterogeneous teams using anonymous optimisation. Robotics and Autonomous Systems, 57(3), 310-320. [More Information]
          • Lizier, J., Haynes, J., Heinzle, J., Prokopenko, M. (2009). Directed information structure in inter-regional cortical interactions in a visuomotor tracking task. 12th Annual Computational Neuroscience Meeting, Stockholm: BioMed Central Ltd. [More Information]
          • Piraveenan, M., Prokopenko, M., Zomaya, A. (2009). Local assortativity and growth of Internet. European Physical Journal B, 70(2), 275-285. [More Information]
          • Wang, R., Mathews, G., Price, D., Prokopenko, M. (2009). Optimising Sensor Layouts for Direct Measurement of Discrete Variables. 3rd IEEE International Conference on Self-Adaptive and Self-Organizing Systems SASO 2009, United States: (IEEE) Institute of Electrical and Electronics Engineers. [More Information]
          • Prokopenko, M., Polani, D., Chadwick, M. (2009). Stigmergic gene transfer and emergence of universal coding. HFSP Journal, 3(5), 317-327. [More Information]
          • Lizier, J., Prokopenko, M., Cornforth, D. (2009). The information dynamics of cascading failures in energy networks. European Conference on Complex Systems 2009 (ECCS’09), Warwick, United Kingdom: European Conference on Complex Systems.

          2008

          • Mathews, G., Durrant-Whyte, H., Prokopenko, M. (2008). Decentralised decision making for multiagent systems. In Mikhail Prokopenko (Eds.), Advances in Applied Self-organizing Systems, (pp. 77-103). London: Springer.
          • Lizier, J., Prokopenko, M., Tanev, I., Zomaya, A. (2008). Emergence of Glider-like Structures in a Modular Robotic System. Eleventh International Conference on the Simulation and Synthesis of Living Systems (ALIFE XI), Cambridge, Massachusetts & London, UK: The MIT Press.
          • Piraveenan, M., Prokopenko, M., Zomaya, A. (2008). Local Assortativeness in Scale-Free Networks. EPL, 84(2), 28002-p1-28002-p6. [More Information]
          • Lizier, J., Prokopenko, M., Zomaya, A. (2008). Local information transfer as a spatiotemporal filter for complex systems. Physical Review E, 77(2), 026110-1-026110-11. [More Information]
          • Wang, X., Lizier, J., Obst, O., Prokopenko, M., Wang, P. (2008). Spatiotemporal Anomaly Detection in Gas Monitoring Sensor Networks. 5th European Conference on Wireless Sensor Networks (EWSN 2008), Germany: Springer. [More Information]
          • Lizier, J., Prokopenko, M., Zomaya, A. (2008). The Information Dynamics of Phase Transitions in Random Boolean Networks. Eleventh International Conference on the Simulation and Synthesis of Living Systems (ALIFE XI), Cambridge, Massachusetts & London, UK: The MIT Press.

          2007

          • Mathews, G., Durrant-Whyte, H., Prokopenko, M. (2007). Asynchronous Gradient-Based Optimisation for Team Decision Making. 46th IEEE Conference on Decision and Control (CDC), USA: (IEEE) Institute of Electrical and Electronics Engineers.
          • Lizier, J., Prokopenko, M., Zomaya, A. (2007). Detecting Non-trivial Computation in Complex Dynamics. 9th European Conference on Artificial Life ECAL 2007, Germany: Springer.
          • Piraveenan, M., Polani, D., Prokopenko, M. (2007). Emergence of Genetic Coding: An Information-Theoretic Model. 9th European Conference on Artificial Life ECAL 2007, Germany: Springer. [More Information]
          • Lizier, J., Prokopenko, M., Zomaya, A. (2007). Information Transfer by Particles in Cellular Automata. Third Australian Conference on Artificial Life (ACAL 2007), Berlin, Germany: Springer.
          • Piraveenan, M., Prokopenko, M., Zomaya, A. (2007). Information-Cloning of Scale-Free Networks. 9th European Conference on Artificial Life ECAL 2007, Germany: Springer.

          2006

          • Mathews, G., Durrant-Whyte, H., Prokopenko, M. (2006). Scalable Decentralised Decision Making and Optimisation in Heterogeneous Teams. 2006 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, Germany: (IEEE) Institute of Electrical and Electronics Engineers.

          2005

          • Mathews, G., Durrant-Whyte, H., Prokopenko, M. (2005). Measuring Global Behaviour of Multi-Agent Systems from Pair-Wise Mutual Information. In Rajiv Khosla, Robert Howlett, Lakhmi Jain (Eds.), Knowledge-Based Intelligent Information and Engineering Systems: 9th International Conference, KES 2005, Melbourne, Australia, September 14-16, 2005, Proceedings, Part II, (pp. 587-594). Germany: Springer.
          • Prokopenko, M., Piraveenan, M., Wang, P. (2005). On Convergence of Dynamic Cluster Formation in Multi-agent Networks. 8th European Conference on Artificial Life, ECAL 2005, Berlin, Germany: Springer. [More Information]
          • Piraveenan, M., Prokopenko, M., Wang, P., Price, D. (2005). On Decentralised Clustering in Self-monitoring Networks. The 4th International Joint Conference on Autonomous Agents and Multi-agent Systems (AAMAS2005).
          • Piraveenan, M., Prokopenko, M., Wang, P., Price, D. (2005). Towards Adaptive Clustering in Self-monitoring Multi-agent Networks. Knowledge-Based Intelligent Information and Engineering Systems, KES20059th International Conference, KES 2005, Berlin, Germany: Springer. [More Information]

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