publications-IDSO

Publications on information-driven self-organisation (IDSO)

R. Nigmatullin, M. Prokopenko, Thermodynamic efficiency of interactions in self-organizing systems, Entropy, 23(6): 757, 2021.
B. P. Evans, M. Prokopenko, A maximum entropy model of bounded rational decision-making with prior beliefs and market feedback, Entropy, 23(6): 669, 2021.
E. Crosato, M. Prokopenko, M. Harré, The polycentric dynamics of Melbourne and Sydney: Suburb attractiveness divides a city at the home ownership level, Proceedings of Royal Society A, 477: 20200514, 2021.
N. Harding, R. E. Spinney, M. Prokopenko, Population mobility induced phase separation in SIS epidemic and social dynamics, Scientific Reports, 10: 7646, 2020.
E. Crosato, M. Prokopenko, R. E. Spinney, Irreversibility and emergent structure in active matter, Physical Review E, 100, 042613, 2019.
B. Slavko, K. Glavatskiy, M. Prokopenko, Dynamic resettlement as a mechanism of phase transitions in urban configurations, Physical Review E, 99, 042143, 2019.
A. J. W. Ward, T. M. Schaerf, A. L. J. Burns, J. T. Lizier, E. Crosato, M. Prokopenko and M. M. Webster, Cohesion, order and information flow in the collective motion of mixed-species shoals, Royal Society Open Science, 5: 181132, 2018.
E. Crosato, R. Nigmatullin, M. Prokopenko, On critical dynamics and thermodynamic efficiency of urban transformations, Royal Society Open Science, 5: 180863, 2018.
N. Harding, R. Nigmatullin, M. Prokopenko, Thermodynamic efficiency of contagions: a statistical mechanical analysis of the SIS epidemic model, Interface Focus, 8 20180036, 2018.
R. E. Spinney, J. T. Lizier, M. Prokopenko, Entropy balance and information processing in bipartite and non-bipartite composite systems, Physical Review E, 98 (3), 032141, 2018.
R. E. Spinney, M. Prokopenko, D. Chu, Information ratchets exploiting spatially structured information reservoirs, Physical Review E, 98 (2), 022124, 2018.
A. C. Kalloniatis, M. L. Zuparic, M. Prokopenko, Fisher information and criticality in the Kuramoto model of nonidentical oscillators, Physical Review E, 98 (2), 022302, 2018.
O. M. Cliff, M. Prokopenko, R. Fitch, Minimising the Kullback–Leibler Divergence for Model Selection in Distributed Nonlinear Systems, Entropy 20 (2), 51, 2018.
E. Crosato, R. E. Spinney, R. Nigmatullin, J. T. Lizier, M. Prokopenko, Thermodynamics and computation during collective motion near criticality, Physical Review E, 97 (1), 012120, 2018.
E. Crosato, L. Jiang, V. Lecheval, J. T. Lizier, X. R. Wang, P. Tichit, G. Theraulaz, M. Prokopenko, Informative and misinformative interactions in a school of fish, Swarm Intelligence, 12(4): 283-305, 2018 (also on arXiv).
E. Y. Erten, J. T. Lizier, M. Piraveenan, M. Prokopenko, Criticality and Information dynamics in epidemiological models, Entropy, 19 (5), 194, 2017.
R. E. Spinney, M. Prokopenko, J. T. Lizier, Transfer entropy in continuous time, with applications to jump and neural spiking processes, Physical Review E, 95 (3), 032319, 2017.
O. M. Cliff, J. T. Lizier, X. R. Wang, P. Wang, O. Obst, M. Prokopenko, Quantifying long-range interactions and coherent structure in multi-agent dynamics, Artificial life, 23 (1), 34-57, 2017.
O. M. Cliff, M. Prokopenko, R. Fitch, An information criterion for inferring coupling in distributed dynamical systems, Frontiers of Robotics and AI, 3, 71, 2016.
R. E. Spinney, J. T. Lizier, M. Prokopenko, Transfer entropy in physical systems and the arrow of time, Physical Review E, 94, 022135, 2016.
M. Prokopenko, L. Barnett, M. Harré, J. T. Lizier, O. Obst, X. R. Wang, Fisher Transfer Entropy: Quantifying the gain in transient sensitivity, Proceedings of The Royal Society A, vol. 471(2184), 20150610, 2015.
C. Salge, N. Ay, D. Polani, M. Prokopenko. Zipf's Law: Balancing Signal Usage Cost and Communication Efficiency, PLOS ONE, 10(10): e0139475, 2015.
M. Prokopenko, I. Einav, Information thermodynamics of near-equilibrium computation, Physical Review E, 91(6), 1-8, 2015.
M. Prokopenko, C. Gershenson, Entropy Methods in Guided Self-Organisation, Entropy, 16(10), 5232-5241, 2014.
M. Prokopenko, J. T. Lizier, Transfer Entropy and Transient Limits of Computation, Scientific Reports, 4:5394, 2014.
M. Prokopenko, Grand challenges for Computational Intelligence, Frontiers of Robotics and AI, 1:2, 1-3, 2014.
M. Prokopenko, N. Ay, D. Polani, On the cross-disciplinary nature of Guided Self-Organisation, in M. Prokopenko (ed.), Guided Self-Organisation: Inception, pp. 3-15, Springer, 2014.
J. M. Miller, X. R. Wang, J. T. Lizier, M. Prokopenko, L. F. Rossi, Measuring Information Dynamics in Swarms, in M. Prokopenko (ed.), Guided Self-Organisation: Inception, pp. 343-364, Springer, 2014.
J. T. Lizier, M. Prokopenko, A. Y. Zomaya, A framework for the local information dynamics of distributed computation in complex systems, in M. Prokopenko (ed.), Guided Self-Organisation: Inception, pp. 115-158, Springer, 2014.
M. Prokopenko (ed.), Guided Self-Organisation: Inception, Springer, 2014.
M. Prokopenko, J. T. Lizier, D. C. Price, On thermodynamic interpretation of transfer entropy, Entropy, 15(2): 524-543, 2013.
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.
D. Polani, M. Prokopenko, L. S. Yaeger, Information and Self-Organization of Behavior, Advances in Complex Systems, topical issue on Guided Self-Organisation, 16(2): 1303001-1-1303001-12, 2013.
X. R. Wang, J. M. Miller, J. T. Lizier, M. Prokopenko, L. F. Rossi, Quantifying and Tracing Information Cascades in Swarms, PLoS ONE, 7(7): e40084, 2012.
J. T. Lizier, M. Prokopenko, and A. Y. Zomaya, Coherent information structure in complex computation, Theory in Biosciences, special issue on Guided Self-Organisation (GSO-2010), 131: 193–203, 2012.
N. Ay, H. Bernigau, R. Der, M. Prokopenko, Information driven self-organization: The dynamical system approach to autonomous robot behavior, Theory in Biosciences, special issue on Guided Self-Organisation (GSO-2010), 131: 161–179, 2012.
N. Ay, R. Der, M. Prokopenko, Guided Self-Organization: Perception-Action Loops of Embodied Systems, Theory in Biosciences, special issue on Guided Self-Organisation (GSO-2010), 131: 125–127, 2012.
J. T. Lizier, M. Prokopenko, and A. Y. Zomaya, Local measures of information storage in complex distributed computation, Information Sciences, 208: 39–54, DOI: 10.1016/j.ins.2012.04.016, 2012.
M. Prokopenko, J. T. Lizier, O. Obst, and X. R. Wang, Relating Fisher information to order parameters, Physical Review E, 84, 041116, 2011.
C. Gershenson, M. Prokopenko, Complex networks, Artificial Life, special issue on Complex Networks, 17(4), 1-3, 2011.
J. T. Lizier, S. Pritam, M. Prokopenko, Information dynamics in small-world Boolean networks, Artificial Life, special issue on Complex Networks, 17(4), 293-314, 2011.
X. R. Wang, J. T. Lizier, M. Prokopenko, Fisher Information at the Edge of Chaos in Random Boolean Networks, Artificial Life, special issue on Complex Networks, 17(4), 315-329, 2011.
J. T. Lizier, J. Heinzle, C. S Soon, J.-D. Haynes, M. Prokopenko, Spatiotemporal information transfer pattern differences in motor selection, BMC Neuroscience, 12(Suppl 1):P261, doi:10.1186/1471-2202-12-S1-P261, 2011.
M. Rubinov, J. T. Lizier, M. Prokopenko, M. Breakspear, Maximized directed information transfer in critical neuronal networks, BMC Neuroscience, 12(Suppl 1):P18, doi:10.1186/1471-2202-12-S1-P18, 2011.
M. Prokopenko, N. Ay, O. Obst and D. Polani, Phase Transitions in Least-Effort Communications, Journal of Statistical Mechanics: Theory and Experiment, 2010(11): P11025, 2010.
J. T. Lizier, M. Prokopenko, and A. Y. Zomaya, Information modification and particle collisions in distributed computation, Chaos, 20(3): 037109, 2010.
J. T. Lizier, J. Heinzle, A. Horstmann, J.-D. Haynes, M. Prokopenko, Multivariate information-theoretic measures reveal directed information structure and task relevant changes in fMRI connectivity, Journal of Computational Neuroscience, 30:85–107, 2011.
M. Piraveenan, M. Prokopenko, A. Y. Zomaya. Assortative mixing in directed biological networks, IEEE Transactions on Computational Biology and Bioinformatics, DOI: http://doi.ieeecomputersociety.org/10.1109/TCBB.2010.80, 2010.
J. T. Lizier, M. Prokopenko. Differentiating information transfer and causal effect, European Physical Journal B, 73(4), 605-615, 2010 (also on arXiv).
M. Prokopenko. Guided self-organization, HFSP Journal, 3(5), 287-289, DOI: 10.2976/1.3233933, 2009.
M. Prokopenko, F. Boschetti, A. Ryan. An information-theoretic primer on complexity, self-organisation and emergence, Complexity, 15(1), 11-28, Wiley, 2009.
M. Prokopenko, D. Polani, M. Chadwick. Stigmergic gene transfer and emergence of universal coding, HFSP Journal, 3(5), 317-327, DOI: 10.2976/1.3175813, 2009.
M. Prokopenko. Book review: Information and Self-Organization: A Macroscopic Approach to Complex Systems (H. Haken), Artificial Life, 15(3), 377-383, 2009.
M. Piraveenan, M. Prokopenko, A. Y. Zomaya. Assortativeness and information in scale-free networks, European Physical Journal B, 67, 291–300, 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.
J. T. Lizier, M. Prokopenko, I. Tanev and A. Y. Zomaya. Emergence of Glider-like Structures in a Modular Robotic System, 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. 366-373, MIT Press, 2008.
J. T. Lizier, M. Prokopenko, and A. Y. Zomaya. Local information transfer as a spatiotemporal filter for complex systems. Physical Review E, 77, 026110, 2008.
Prokopenko, M., Polani, D., Wang, P. Optimizing Associative Information Transfer within Content-addressable Memory, International Journal of Unconventional Computation, Vol. 4(3), Special issue "Towards Theory of Unconventional Computing", 273-296, 2008.
M. Prokopenko. Design vs Self-organization, in M. Prokopenko (ed.), Advances in Applied Self-organizing Systems, pp. 3-17, Springer-Verlag, London, UK, 2008.
J. T. Lizier, M. Prokopenko, A. Y. Zomaya, Information Transfer by Particles in Cellular Automata, In Randall, M., Abbass, H. A., Wiles, J. (eds.) Proceedings of the Third Australian Conference on Artificial Life, Gold Coast, Australia, December, 2007, Lecture Notes in Artificial Intelligence vol. 4828, Springer, Berlin, Heidelberg, 2007.
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, D. Polani, and P. Wang. Optimizing Potential Information Transfer with Self-referential Memory, in Calude, C. S., Dinneen, M. J., Paun, G., Rozenberg, G., and Stepney S., eds. Unconventional Computation : 5th International Conference (UC '06), York, UK, Springer, Lecture notes in computer science, vol. 4135, 228-242, 2006.
M. Prokopenko, V. Gerasimov, and I. Tanev. Measuring Spatiotemporal Coordination in a Modular Robotic System, in Artificial Life X: Proceedings of The 10th International Conference on the Simulation and Synthesis of Living Systems, Bloomington IN, USA, eds. Rocha, L.M., Yaeger, L.S., Bedau, M.A., Floreano, D., Goldstone, R.L., Vespignani, A., 2006.
G. Mathews, H. Durrant-Whyte, M. Prokopenko. Measuring Global Behaviour of Multi-Agent Systems from Pair-Wise Mutual Information. In Proceedings of the 9th International Conference on Knowledge Based and Intelligent Information and Engineering Systems (KES-2005), Melbourne, Australia, September 2005.
F. Boschetti, M. Prokopenko, I. Macreadie, A.-M. Grisogono. Defining and detecting emergence in complex networks. In Proceedings of the 9th International Conference on Knowledge Based and Intelligent Information and Engineering Systems (KES-2005), Melbourne, Australia, September 2005.