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GUIDED SELF-ORGANISATION
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Publications
GSO trends are discussed in
  • M. Prokopenko and C. Gershenson, Entropy Methods in Guided Self-Organisation, Entropy, special issue on Entropy Methods in Guided Self-Organization, 16(10), 5232-5241, 2014.
  • Guided Self-Organization: Inception,  M. Prokopenko (ed)., Springer, 2014.
  • 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.
  • 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.
  • M. Prokopenko. Guided self-organization, HFSP Journal, 3(5), 287-289, DOI: 10.2976/1.3233933, 2009.
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  • Selected papers of GSO-2008 were published by the Human Frontier Science Program (HFSP) Journal, in the Special Issue on Guided Self-Organization.
  • A special issue of Theory in Biosciences followed with selected papers from GSO-2009.
  • Selected papers from GSO-2010 and GSO-2011 were published in a topical issue of Advances in Complex Systems.
  • A special issue in the Entropy journal comprised selected papers from GSO-2013.
  • The book "Guided Self-Organisation: Inception" was published in 2014 by Springer.
  • Following GSO-2014, a research topic "Theory and Applications of Guided Self-Organisation in Real and Synthetic Dynamical Systems" was published in Computational Intelligence section of Frontiers Robotics and AI during 2015 and 2016.
  • Frontiers in Robotics and AI has also run two GSO-related research topics in 2019-2020: Complexity and Self-Organization and ​Designing Self-Organization in the Physical Realm
  • A workshop on "Evolution of Social Complexity" explored several related topics in 2020.

See below for more publications...
  • R. Nigmatullin, M. Prokopenko, Thermodynamic efficiency of interactions in self-organizing systems, Entropy, 23(6), 757, 2021.
  • N. E. Carey, P. Bardunias, R. Nagpal, J. Werfel, Validating a termite-inspired construction coordination mechanism using an autonomous robot, Frontiers in Robotics and AI, doi.org/10.3389/frobt.2021.645728, 2021.
  • C. Gershenson, V. Trianni, J. Werfel, H. Sayama, Self-organization and Artificial Life, Artificial Life, 26 (3): 391–408, 2020.
  • N. C. Volpi, D. Polani, Goal-directed empowerment: Combining intrinsic motivation and task-oriented behaviour, IEEE Transactions on Cognitive and Developmental Systems, doi: 10.1109/TCDS.2020.3042938, 2020.
  • 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.
  • S. Blaes, M. Vlastelica, J. Zhu, G. Martius, Control what you can: Intrinsically motivated task-planning agent, in Neural Information Processing (NeurIPS’19), 12520-12531, Curran Associates, Inc., NeurIPS'19, 2019.
  • M. Prokopenko, M. Harré, J. Lizier, F. Boschetti, P. Peppas, S. Kauffman, Self-referential basis of undecidable dynamics: from the Liar paradox and the halting problem to the edge of chaos, Physics of Life Reviews, 31, 134-156, 2019.
  • Biehl, M., Guckelsberger, C., Salge, C., Smith, S. and Polani, D. Expanding the active inference landscape: More intrinsic motivations in the perception-action loop, Frontiers in Neurorobotics, 12, 45, 2018.
  • Crosato E., Jiang L., Lecheval, V., Lizier, J. T., Wang, X. R., Tichit, P., Theraulaz, G. and Prokopenko, M. Informative and misinformative interactions in a school of fish, Swarm Intelligence, 2018.
  • Crosato, E., Spinney, R. E., Nigmatullin, R., Lizier, J. T. and Prokopenko, M. Thermodynamics and computation during collective motion near criticality, Physical Review E, 97 (1), 012120, 2018.
  • Kalloniatis, A. C., Zuparic, M. L. and Prokopenko, M. Fisher Information and criticality in the Kuramoto model of nonidentical oscillators, Physical Review E, 98 (2), 022302, 2018.
  • Melenbrink, N. and Werfel, J. Local force cues for strength and stability in a distributed robotic construction system, Swarm Intelligence, 12(2): 129-153, 2018.
  • Biehl, M. and Polani, D. Action and perception for spatiotemporal patterns, C. Knibbe et al, eds., Proceedings of the ECAL 2017, Lyon, France, 4-8 September 2017, Cambridge, MA: The MIT Press, 2017.
  • Carreón, G., Gershenson, C., and Pineda, L. A. Improving public transportation systems with self-organization: A headway-based model and regulation of passenger alighting and boarding, PLOS ONE, 12(12):1–20, 2017.
  • Prokopenko, M. Modelling complex systems and guided self-organisation, Journal and Proceedings of the Royal Society of New South Wales, 150, 463/464, 104-109, 2017.
  • Robu, A. D., Salge, C., Nehaniv, C. L. and Polani, D. Time as it could be measured in artificial living systems, C. Knibbe et al, eds., Proceedings of the ECAL 2017, Lyon, France, 4-8 September 2017, Cambridge, MA: The MIT Press, 2017.
  • Zapotecatl, J. L., Rosenblueth, D. A. and Gershenson, C. Deliberative self-organizing traffic lights with elementary cellular automata, Complexity, 2017:7691370, 2017.
  • Ghazi-Zahedi, K., Haeufle, D. F. B., Montúfar, G., Schmitt, S. and Ay, N. Evaluating morphological computation in muscle and DC-motor driven models of hopping movements, Frontiers in robotics and AI, 3:42, 2016.
  • Perrone, P. and Ay, N. Hierarchical quantification of synergy in channels, Frontiers in Robotics and AI, 2:35, 2016.
  • Spinney, R. E., Lizier, J. T. and Prokopenko, M. Transfer entropy in physical systems and the arrow of time, Physical Review E, 94, 022135, 2016.
  • Virágh, C., Nagy, M., Gershenson, C. and Vásárhelyi, G. Self-organized UAV traffic in realistic environments, In Intelligent Robots and Systems (IROS), 2016 IEEE/RSJ International Conference on, pages 1645–1652. IEEE, Daejeon, South Korea, 2016.
  • Gershenson, C. and Helbing, D. When slower is faster, Complexity, 21(2):9–15, 2015.
  • Kasthurirathna, D. and Piraveenan, M. Emergence of scale-free characteristics in socio-ecological systems with bounded rationality, Scientific Reports, 5:10448, 2015.
  • Prokopenko, M., Barnett, L., Harré, M., Lizier, J. T., Obst, O. and Wang, X. R. Fisher Transfer Entropy: Quantifying the gain in transient sensitivity, Phil. Trans. R. Soc. A, vol. 471(2184), 20150610, 2015.
  • Prokopenko, M. and Einav, I. Information thermodynamics of near-equilibrium computation, Physical Review E (Statistical, Nonlinear, and Soft Matter Physics), 91(6), 1-8, 2015.
  • Salge, C., Ay, N., Polani, D. and Prokopenko, M. Zipf's Law: Balancing Signal Usage Cost and Communication Efficiency, PLOS ONE, 10(10): e0139475, 2015.
  • Wibral, M., Lizier, J. T. and Priesemann, V. Bits from Biology for Biologically-inspired Computing, Frontiers in Robotics and AI, 2(5), 2015.
  • Harré, M. and Bossomaier, T. Strategic islands in economic games: Isolating economies from better outcomes, Entropy, 16(9), 5102-5121, 2014.
  • Kasthurirathna, D., Piraveenan, M. and Harré, M. Influence of topology in the evolution of coordination in complex networks under information diffusion constraints, European Physical Journal B, 87(1), 1-15, 2014.
  • Prokopenko, M. and Lizier, J. T. Transfer Entropy and Transient Limits of Computation, Scientific Reports, 4:5394, 2014.
  • Werfel, J., Petersen K. and Nagpal, R. Designing collective behavior in a termite-inspired robot construction team, Science, 343(6172): 754-758, 2014.
  • Barnett, L., Lizier, J. T., Harré, M., Seth, A. K. and Bossomaier, T. Information flow in a kinetic Ising model peaks in the disordered phase, Physical Review Letters, 111(17), 177203, 2013. Also see: Supplementary material.
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