publications-MAS

Publications on complex networks and multi-agent systems

B. P. Evans, K. Glavatskiy, M. Harré, M. Prokopenko, The impact of social influence in Australian real-estate: market forecasting with a spatial agent-based model, Journal of Economic Interaction and Coordination, DOI: 10.1007/s11403-021-00324-7, 2021 (also on arXiv).
K. Glavatskiy, M. Prokopenko, Adrian Carro, Paul Ormerod, M. Harré, Explaining herding and volatility in the cyclical price dynamics of urban housing markets using a large‑scale agent‑based model, Business and Economics, 1:76, DOI: 10.1007/s43546-021-00077-2, 2021.
J. Bell, G. Bianconi, D. Butler, J. Crowcroft, P. C. W. Davies, C. Hicks, H. Kim, I. Kiss, F. Di Lauro, C. Maple, A. Paul, M. Prokopenko, P. Tee, S. I. Walker, Beyond COVID-19: Network science and sustainable exit strategies, Journal of Physics: Complexity, 2(2): 021001, 2021.
S. L. Chang, N. Harding, C. Zachreson, O. M. Cliff, M. Prokopenko, Modelling transmission and control of the COVID-19 pandemic in Australia, Nature Communications, 11, 5710, 2020.
O. M. Cliff, N. McLean, V. Sintchenko, K. M. Fair, T. C. Sorrell, S. Kauffman, M. Prokopenko, Inferring evolutionary pathways and directed genotype networks of foodborne pathogens, PLoS Computational Biology, 16(10): e1008401, 2020.
R. J. Rockett, A. Arnott, C. Lam, R. Sadsad, V. Timms, K.-A. Gray, J.-S. Eden, S. L. Chang, M. Gall, J. Draper, E. Sim, N. L. Bachmann, I. Carter, K. Basile, R. Byun, M. V. O. Sullivan, S. C. A. Chen, S. Maddocks, T. C. Sorrell, D. E. Dwyer, E. C. Holmes, J. Kok, M. Prokopenko, V. Sintchenko, Revealing COVID-19 transmission by SARS-CoV-2 genome sequencing and agent based modelling, Nature Medicine, 26: 1398–1404, 2020.
S. L. Chang, M. Piraveenan, M. Prokopenko, Impact of network assortativity on epidemic and vaccination behaviour, Chaos, Solitons & Fractals, 140: 110143, 2020.
N. Harding, R. E. Spinney, M. Prokopenko, Population mobility induced phase separation in SIS epidemic and social dynamics, Scientific Reports, 10: 7646, 2020.
C. Zachreson, K. M. Fair, N. Harding, M. Prokopenko, Interfering with influenza: nonlinear coupling of reactive and static mitigation strategies, Journal of Royal Society Interface, 17(165): 20190728, 2020.
N. Harding, R. E. Spinney, M. Prokopenko, Phase transitions in spatial connectivity during influenza pandemics, Entropy, 22(2), 133, 2020.
K. M. Fair, C. Zachreson, M. Prokopenko, Creating a surrogate commuter network from Australian Bureau of Statistics census data, Scientific Data, 6, 150, 2019.
S. L. Chang, M. Piraveenan, M. Prokopenko, The Effects of Imitation Dynamics on Vaccination Behaviours in SIR-Network Model, International Journal of Environmental Research and Public Health, 16(14), 2477, 2019.
O. M. Cliff, V. Sintchenko, T. C. Sorrell, K. Vadlamudi, N. McLean, M. Prokopenko, Network properties of Salmonella epidemics, Scientific Reports, 9, 6159, 2019; see also: Supplementary Information.
C. Zachreson, K. M. Fair, O. M. Cliff, N. Harding, M. Piraveenan, M. Prokopenko, Urbanization affects peak timing, prevalence, and bimodality of influenza pandemics in Australia: Results of a census-calibrated model, Science Advances, 4(12), eaau5294, 2018.
D. Penny, C. Zachreson, R. Fletcher, D. Lau, J. T. Lizier, N. Fischer, D. Evans, C. Pottier, M. Prokopenko, The demise of Angkor: Systemic vulnerability of urban infrastructure to climatic variations, Science Advances, 4(10), eaau4029, 2018.
O. M. Cliff, N. Harding, M. Piraveenan, E. Y. Erten, M. Gambhir, M. Prokopenko, Investigating Spatiotemporal Dynamics and Synchrony of Influenza Epidemics in Australia: An Agent-Based Modelling Approach, Simulation Modelling Practice and Theory, 87, 412-431, 2018 (also on arXiv).
S. L. Chang, M. Prokopenko, Instability of mixed Nash equilibria in generalised Hawk-Dove game: A project conflict management scenario, Games, 8 (4), 42, 2017.
M. Zuparic, V. Jauregui, M. Prokopenko, Y. Yue, Quantifying the impact of communication on performance in multi-agent teams, Artificial Life and Robotics, 22 (3), 357-373, 2017.
Harré, M., and Prokopenko, M. The social brain: scale-invariant layering of Erdős–Rényi networks in small-scale human societies, Journal of The Royal Society Interface, vol. 13(118), 20160044, 2016.
X. R. Wang, J. T. Lizier, T. Nowotny, A. Z. Berna, M. Prokopenko, S. C. Trowell, Feature Selection for Chemical Sensor Arrays Using Mutual Information, PLoS ONE, 9(3): e89840, 2014.
M. Piraveenan, M. Prokopenko, L. Hossein, Percolation Centrality: Quantifying Graph-Theoretic Impact of Nodes during Percolation in Networks, PLoS ONE, 8(1): e53095, 2013.

V. Cupac, J. T. Lizier, M. Prokopenko, Comparing dynamics of cascading failures between network-centric and power flow models, International Journal of Electrical Power and Energy Systems, 49: 369-379, 2013.
A. Adamatzky, S. Akl, R. Alonso-Sanz, W. van Dessel, Z. Ibrahim, A. Ilachinski, J. Jones, A. V. D. M. Kayem, G. J. Martinez, P. de Oliveira, M. Prokopenko, T. Schubert, P. Sloot, E. Strano, X.-S. Yang, Are motorways rational from slime mould's point of view?, International Journal of Parallel, Emergent and Distributed Systems, 28(3): 230-248, 2013.
A. Adamatzky, M. Prokopenko, Slime mould evaluation of Australian motorways, International Journal of Parallel, Emergent and Distributed Systems, 27(4): 275–295, 2012.
M. Piraveenan, M. Prokopenko, A. Y. Zomaya. Assortative mixing in directed biological networks, IEEE Transactions on Computational Biology and Bioinformatics, 9(1): 66-78, 2012.
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, 99-102, 2009.
M. Piraveenan, M. Prokopenko, A. Y. Zomaya, Local Assortativity and Growth of Internet, European Physical Journal B, 70, 275–285, 2009.

G. Mathews, H. F. Durrant-Whyte, M. Prokopenko, Decentralised decision making in heterogeneous teams using anonymous optimisation, Robotics and Autonomous Systems, 57(3): 310-320, 2009.

M. Prokopenko, A. Zeman, and R. Li, Homeotaxis: Coordination with Persistent Time-Loops, In M. Asada et al. (Eds.) From Animals to Animats 10: the 10th International Conference on Simulation of Adaptive Behavior (SAB 2008), LNAI 5040, 403–414, Springer, Berlin, Heidelberg, 2008.

O. Obst, X. R. Wang, and M. Prokopenko, Using Echo State Networks for Anomaly Detection in Underground Coal Mines, in Proceedings of the International Conference on Information Processing in Sensor Networks (IPSN 2008), 219--229, IEEE Computer Society, 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.

M. Piraveenan, M. Prokopenko, P. Wang, A. Zeman, Decentralised multi-agent clustering in scale-free sensor networks, in J. Fulcher and L. C. Jain (eds.), Studies in Computational Intelligence (SCI), 115, 485–515, Springer, Berlin, 2008.

M. Prokopenko (ed.), Advances in Applied Self-organizing Systems, Springer-Verlag, London, UK, 2007.

G. Mathews, H. Durrant-Whyte, M. Prokopenko, Decentralised Decision Making for Multi-Agent Systems, in M. Prokopenko (ed.), Advances in Applied Self-organizing Systems, pp. 77-103, Springer-Verlag, London, UK, 2007.

G. M. Mathews, H. F. Durrant-Whyte, M. Prokopenko. Asynchronous Gradient-Based Optimisation for team decision making, 46th IEEE Conference on Decision and Control, New Orleans, LA, USA, pp. 3145-3150, IEEE, 2007.

E. Ogston, A. Zeman, M. Prokopenko, G. James. Clustering Distributed Energy Resources for Large-Scale Demand Management, 1st IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO-2007), Boston, Mass, USA, pp. 97-106, IEEE Computer Society, Mass. 2007.

V. Gerasimov, G. Healy, M. Prokopenko, P. Wang, and A. Zeman. Symbiotic Sensor Networks in Complex Underwater Terrains: a Simulation Framework, in B. Gabrys, R.J. Howlett, and L.C. Jain (Eds), Knowledge-Based Intelligent Information and Engineering Systems, 10th International Conference, KES 2006, Bournemouth, UK, October 9-11 2006, Proceedings, Part III, LNAI 4253, 315-323, Springer-Verlag Berlin Heidelberg, 2006.

A. Zeman and M. Prokopenko. Predicting Cluster Formation in Decentralized Sensor Grids, in B. Gabrys, R.J. Howlett, and L.C. Jain (Eds), Knowledge-Based Intelligent Information and Engineering Systems, 10th International Conference, KES 2006, Bournemouth, UK, October 9-11 2006, Proceedings, Part III, LNAI 4253, 324-332, Springer-Verlag Berlin Heidelberg, 2006.

G. M. Mathews, H. F. Durrant-Whyte, M. Prokopenko. Scalable Decentralised Decision Making and Optimisation in Heterogeneous Teams, IEEE International Conference on Multi-Sensor Fusion and Integration for Intelligent Systems (MFI-2006), Heidelberg, Germany, 383-388, September, 2006.