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Mikhail Prokopenko
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2020 – today
- 2024
- [i29]Mikhail Prokopenko, Paul C. W. Davies, Michael Harré, Marcus Heisler, Zdenka Kuncic, Geraint F. Lewis, Ori Livson, Joseph T. Lizier, Fernando E. Rosas:
Biological arrow of time: Emergence of tangled information hierarchies and self-modelling dynamics. CoRR abs/2409.12029 (2024) - 2023
- [j40]Adam J. Svahn, Mikhail Prokopenko:
An Ansatz for Computational Undecidability in RNA Automata. Artif. Life 29(2): 261-288 (2023) - 2022
- [i28]Quang Dang Nguyen, Mikhail Prokopenko:
Optimising cost-effectiveness of pandemic response under partial intervention measures. CoRR abs/2205.08996 (2022) - [i27]Benjamin Patrick Evans, Mikhail Prokopenko:
Bounded strategic reasoning explains crisis emergence in multi-agent market games. CoRR abs/2206.05568 (2022) - [i26]Sheryl Le Chang, Quang Dang Nguyen
, Alexandra Martiniuk, Vitali Sintchenko, Tania C. Sorrell
Persistence of the Omicron variant of SARS-CoV-2 in Australia: The impact of fluctuating social distancing. CoRR abs/2211.10965 (2022) - 2021
- [j39]Bohdan Slavko
Diffusive Resettlement: Irreversible Urban Transitions in Closed Systems. Entropy 23(1): 66 (2021) - [j38]Benjamin Patrick Evans
A Maximum Entropy Model of Bounded Rational Decision-Making with Prior Beliefs and Market Feedback. Entropy 23(6): 669 (2021) - [j37]Ramil Nigmatullin
Thermodynamic Efficiency of Interactions in Self-Organizing Systems. Entropy 23(6): 757 (2021) - [i25]Benjamin Patrick Evans, Mikhail Prokopenko:
A maximum entropy model of bounded rational decision-making with prior beliefs and market feedback. CoRR abs/2102.09180 (2021) - [i24]Benjamin Patrick Evans, Mikhail Prokopenko:
Bounded rationality for relaxing best response and mutual consistency: An information-theoretic model of partial self-reference. CoRR abs/2106.15844 (2021) - [i23]Sheryl Le Chang, Oliver M. Cliff, Cameron Zachreson, Mikhail Prokopenko:
Nowcasting transmission and suppression of the Delta variant of SARS-CoV-2 in Australia. CoRR abs/2107.06617 (2021) - 2020
- [j36]Nathan Harding
Phase Transitions in Spatial Connectivity during Influenza Pandemics. Entropy 22(2): 133 (2020) - [j35]Quang Dang Nguyen
Structure-Preserving Imitation Learning With Delayed Reward: An Evaluation Within the RoboCup Soccer 2D Simulation Environment. Frontiers Robotics AI 7: 123 (2020) - [j34]Oliver M. Cliff
Inferring evolutionary pathways and directed genotype networks of foodborne pathogens. PLoS Comput. Biol. 16(10) (2020) - [i22]Sheryl Le Chang, Nathan Harding, Cameron Zachreson, Oliver M. Cliff
Modelling transmission and control of the COVID-19 pandemic in Australia. CoRR abs/2003.10218 (2020) - [i21]Adam J. Svahn, Mikhail Prokopenko:
An Ansatz for undecidable computation in RNA-world automata. CoRR abs/2008.05263 (2020) - [i20]Benjamin Patrick Evans, Kirill Glavatskiy
The impact of social influence in Australian real-estate: market forecasting with a spatial agent-based model. CoRR abs/2009.06914 (2020)
2010 – 2019
- 2019
- [c55]Mikhail Prokopenko
Gliders2d: Source Code Base for RoboCup 2D Soccer Simulation League. RoboCup 2019: 418-428 - [c54]Mikhail Prokopenko
Fractals2019: Combinatorial Optimisation with Dynamic Constraint Annealing. RoboCup 2019: 616-630 - [i19]Mikhail Prokopenko, Peter Wang:
Fractals2019: Combinatorial Optimisation with Dynamic Constraint Annealing. CoRR abs/1909.01788 (2019) - 2018
- [j33]Oliver M. Cliff
Minimising the Kullback-Leibler Divergence for Model Selection in Distributed Nonlinear Systems. Entropy 20(2): 51 (2018) - [j32]Oliver M. Cliff
Investigating spatiotemporal dynamics and synchrony of influenza epidemics in Australia: An agent-based modelling approach. Simul. Model. Pract. Theory 87: 412-431 (2018) - [j31]Emanuele Crosato
Informative and misinformative interactions in a school of fish. Swarm Intell. 12(4): 283-305 (2018) - [i18]Oliver M. Cliff, Nathan Harding, Mahendra Piraveenan, E. Yagmur Erten, Manoj Gambhir, Mikhail Prokopenko:
Investigating Spatiotemporal Dynamics and Synchrony of Influenza Epidemics in Australia: An Agent-Based Modelling Approach. CoRR abs/1806.02578 (2018) - [i17]Kristopher M. Fair, Cameron Zachreson, Mikhail Prokopenko:
Creating a surrogate commuter network from Australian Bureau of Statistics census data. CoRR abs/1808.09267 (2018) - [i16]Mikhail Prokopenko, Peter Wang:
Gliders2d: Source Code Base for RoboCup 2D Soccer Simulation League. CoRR abs/1812.10202 (2018) - 2017
- [j30]Oliver M. Cliff
Quantifying Long-Range Interactions and Coherent Structure in Multi-Agent Dynamics. Artif. Life 23(1): 34-57 (2017) - [j29]Mathew Zuparic
Quantifying the impact of communication on performance in multi-agent teams. Artif. Life Robotics 22(3): 357-373 (2017) - [j28]E. Yagmur Erten
Criticality and Information Dynamics in Epidemiological Models. Entropy 19(5): 194 (2017) - [j27]Mikhail Prokopenko
Complexity, Criticality and Computation. Entropy 19(8): 403 (2017) - [j26]Sheryl Le Chang
Instability of Mixed Nash Equilibria in Generalised Hawk-Dove Game: A Project Conflict Management Scenario. Games 8(4): 42 (2017) - [c53]Mikhail Prokopenko
RoboCup 2D Soccer Simulation League: Evaluation Challenges. RoboCup 2017: 325-337 - [i15]Emanuele Crosato, Li Jiang, Valentin Lecheval, Joseph T. Lizier, X. Rosalind Wang, Pierre Tichit, Guy Theraulaz, Mikhail Prokopenko:
Informative and misinformative interactions in a school of fish. CoRR abs/1705.01213 (2017) - [i14]Mikhail Prokopenko, Peter Wang, Sebastian Marian, Aijun Bai, Xiao Li, Xiaoping Chen:
RoboCup 2D Soccer Simulation League: Evaluation Challenges. CoRR abs/1706.04315 (2017) - [i13]Emanuele Crosato, Ramil Nigmatullin, Joseph T. Lizier, Mikhail Prokopenko:
Entropy production and flux during collective motion near criticality. CoRR abs/1708.04004 (2017) - [i12]Mikhail Prokopenko, Michael Harré, Joseph T. Lizier, Fabio Boschetti, Pavlos Peppas, Stuart A. Kauffman:
Self-referential basis of undecidable dynamics: from The Liar Paradox and The Halting Problem to The Edge of Chaos. CoRR abs/1711.02456 (2017) - 2016
- [j25]Oliver M. Cliff
An Information Criterion for Inferring Coupling of Distributed Dynamical Systems. Frontiers Robotics AI 3: 71 (2016) - [c52]Mikhail Prokopenko
Disruptive Innovations in RoboCup 2D Soccer Simulation League: From Cyberoos'98 to Gliders2016. RoboCup 2016: 529-541 - [i11]Oliver M. Cliff, Mikhail Prokopenko, Robert Fitch
Learning the Structure of Nonlinear Dynamical Networks: An Information-Theoretic Perspective. CoRR abs/1605.06931 (2016) - [i10]Richard E. Spinney, Mikhail Prokopenko, Joseph T. Lizier:
Transfer entropy in continuous time, with applications to jump and neural spiking processes. CoRR abs/1610.08192 (2016) - [i9]Oliver M. Cliff, Mikhail Prokopenko, Robert Fitch
Inferring Coupling of Distributed Dynamical Systems via Transfer Entropy. CoRR abs/1611.00549 (2016) - [i8]Mikhail Prokopenko, Peter Wang:
Disruptive innovations in RoboCup 2D Soccer Simulation League: from Cyberoos'98 to Gliders2016. CoRR abs/1612.00947 (2016) - 2015
- [j24]David M. Budden, Peter Wang, Oliver Obst
RoboCup Simulation Leagues: Enabling Replicable and Robust Investigation of Complex Robotic Systems. IEEE Robotics Autom. Mag. 22(3): 140-146 (2015) - [c51]Tomoharu Nakashima
Kick Extraction for Reducing Uncertainty in RoboCup Logs. HCI (5) 2015: 622-633 - 2014
- [j23]Mikhail Prokopenko
Entropy Methods in Guided Self-Organisation. Entropy 16(10): 5232-5241 (2014) - [j22]Mikhail Prokopenko
Grand Challenges for Computational Intelligence. Frontiers Robotics AI 1: 2 (2014) - [c50]David M. Budden, Peter Wang, Oliver Obst
Simulation Leagues: Analysis of Competition Formats. RoboCup 2014: 183-194 - [i7]David M. Budden, Peter Wang, Oliver Obst, Mikhail Prokopenko:
Simulation leagues: Analysis of competition formats. CoRR abs/1403.4023 (2014) - [i6]Yu Sun, Louis F. Rossi, Chien-Chung Shen, Jennifer M. Miller, X. Rosalind Wang, Joseph T. Lizier, Mikhail Prokopenko, Upul Senanayake:
Information Transfer in Swarms with Leaders. CoRR abs/1407.0007 (2014) - [i5]David M. Budden, Peter Wang, Oliver Obst, Mikhail Prokopenko:
Simulation leagues: Enabling replicable and robust investigation of complex robotic systems. CoRR abs/1412.5711 (2014) - 2013
- [j21]Daniel Polani, Mikhail Prokopenko
Information and Self-Organization of Behavior. Adv. Complex Syst. 16(2-3) (2013) - [j20]Mikhail Prokopenko
On Thermodynamic Interpretation of Transfer Entropy. Entropy 15(2): 524-543 (2013) - [j19]Andrew Adamatzky, Selim G. Akl, Ramón Alonso-Sanz, Wesley van Dessel
Are motorways rational from slime mould's point of view? Int. J. Parallel Emergent Distributed Syst. 28(3): 230-248 (2013) - [c49]Mikhail Prokopenko
Information dynamics at the edge of chaos: Measures, examples, and principles. ALIFE 2013: 140-144 - [c48]Oliver M. Cliff
Towards Quantifying Interaction Networks in a Football Match. RoboCup 2013: 1-12 - [c47]David M. Budden, Mikhail Prokopenko
Improved Particle Filtering for Pseudo-Uniform Belief Distributions in Robot Localisation. RoboCup 2013: 385-395 - 2012
- [j18]Joseph T. Lizier
Local measures of information storage in complex distributed computation. Inf. Sci. 208: 39-54 (2012) - [j17]Mahendra Piraveenan, Mikhail Prokopenko
On congruity of nodes and assortative information content in complex networks. Networks Heterog. Media 7(3): 441-461 (2012) - [j16]Andrew Adamatzky, Mikhail Prokopenko
Slime mould evaluation of Australian motorways. Int. J. Parallel Emergent Distributed Syst. 27(4): 275-295 (2012) - [j15]Piraveenan Mahendra, Mikhail Prokopenko
Assortative Mixing in Directed Biological Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 9(1): 66-78 (2012) - [j14]Nihat Ay, Ralf Der, Mikhail Prokopenko
Guided self-organization: perception-action loops of embodied systems. Theory Biosci. 131(3): 125-127 (2012) - [j13]Nihat Ay, Holger Bernigau, Ralf Der, Mikhail Prokopenko
Information-driven self-organization: the dynamical system approach to autonomous robot behavior. Theory Biosci. 131(3): 161-179 (2012) - [j12]Joseph T. Lizier
Coherent information structure in complex computation. Theory Biosci. 131(3): 193-203 (2012) - [i4]Andrew Adamatzky, Selim G. Akl, Ramón Alonso-Sanz, Wesley van Dessel, Zuwairie Ibrahim, Andrew Ilachinski, Jeff Jones, Anne V. D. M. Kayem, Genaro Juárez Martínez, Pedro Paulo Balbi de Oliveira, Mikhail Prokopenko, Theresa Schubert, Peter M. A. Sloot, Emanuele Strano, Xin-She Yang:
Are motorways rational from slime mould's point of view? CoRR abs/1203.2851 (2012) - [i3]Edward Moore, Oliver Obst, Mikhail Prokopenko, Peter Wang, Jason Held:
Gliders2012: Development and Competition Results. CoRR abs/1211.3882 (2012) - 2011
- [j11]Carlos Gershenson
Complex Networks. Artif. Life 17(4): 259-261 (2011) - [j10]Joseph T. Lizier
Information Dynamics in Small-World Boolean Networks. Artif. Life 17(4): 293-314 (2011) - [j9]X. Rosalind Wang
Fisher Information at the Edge of Chaos in Random Boolean Networks. Artif. Life 17(4): 315-329 (2011) - [j8]Joseph T. Lizier
Multivariate information-theoretic measures reveal directed information structure and task relevant changes in fMRI connectivity. J. Comput. Neurosci. 30(1): 85-107 (2011) - [c46]Joseph T. Lizier, Siddharth Pritam, Mikhail Prokopenko:
Computational capabilities of small-world Boolean networks. ECAL 2011: 462-464 - [c45]X. Rosalind Wang, Jennifer M. Miller, Joseph T. Lizier, Mikhail Prokopenko, Louis F. Rossi:
Measuring information storage and transfer in swarms. ECAL 2011: 838-845 - [i2]Carlos Gershenson, Mikhail Prokopenko:
Complex Networks. CoRR abs/1104.5538 (2011) - 2010
- [c44]X. Rosalind Wang, Joseph T. Lizier, Mikhail Prokopenko:
A Fisher Information Study of Phase Transitions in Random Boolean Networks. ALIFE 2010: 305-312 - [c43]Mahendra Piraveenan, Mikhail Prokopenko, Albert Y. Zomaya:
Classifying Complex Networks using Unbiased Local Assortativity. ALIFE 2010: 329-336
2000 – 2009
- 2009
- [j7]Mikhail Prokopenko
Information and Self-Organization: A Macroscopic Approach to Complex Systems, (3rd enlarged ed.). H. Haken. (2006, Springer.) EUR79.95 (hardcover), 262 pages. ISBN: 978-3-540-33021-9. Artif. Life 15(3): 377-383 (2009) - [j6]Mikhail Prokopenko
An information-theoretic primer on complexity, self-organization, and emergence. Complex. 15(1): 11-28 (2009) - [j5]George M. Mathews, Hugh F. Durrant-Whyte, Mikhail Prokopenko
Decentralised decision making in heterogeneous teams using anonymous optimisation. Robotics Auton. Syst. 57(3): 310-320 (2009) - [c42]Oliver Obst
Origins of Scaling in Genetic Code. ECAL (2) 2009: 85-93 - [c41]Joseph T. Lizier
Functional and Structural Topologies in Evolved Neural Networks. ECAL (1) 2009: 140-147 - [c40]X. Rosalind Wang
Optimising Sensor Layouts for Direct Measurement of Discrete Variables. SASO 2009: 92-102 - 2008
- [j4]Mikhail Prokopenko, Daniel Polani, Peter Wang:
Optimizing Associative Information Transfer within Content-addressable Memory. Int. J. Unconv. Comput. 4(3): 273-296 (2008) - [c39]Joseph T. Lizier, Mikhail Prokopenko, Ivan Tanev, Albert Y. Zomaya:
Emergence of Glider-like Structures in a Modular Robotic System. ALIFE 2008: 366-373 - [c38]Joseph T. Lizier, Mikhail Prokopenko, Albert Y. Zomaya:
The Information Dynamics of Phase Transitions in Random Boolean Networks. ALIFE 2008: 374-381 - [c37]Daniel Polani, Mikhail Prokopenko, Matthew Chadwick:
Modelling Stigmergic Gene Transfer. ALIFE 2008: 490-497 - [c36]X. Rosalind Wang, Joseph T. Lizier
Spatiotemporal Anomaly Detection in Gas Monitoring Sensor Networks. EWSN 2008: 90-105 - [c35]Oliver Obst
Using Echo State Networks for Anomaly Detection in Underground Coal Mines. IPSN 2008: 219-229 - [c34]Mikhail Prokopenko
Homeotaxis: Coordination with Persistent Time-Loops. SAB 2008: 403-414 - [c33]Astrid Zeman
Adaptive Control of Distributed Energy Management: A Comparative Study. SASO 2008: 84-93 - [p3]Mikhail Prokopenko
Design vs. Self-organization. Advances in Applied Self-organizing Systems 2008: 3-17 - [p2]George M. Mathews, Hugh F. Durrant-Whyte, Mikhail Prokopenko
Decentralized Decision Making for Multiagent Systems. Advances in Applied Self-organizing Systems 2008: 77-104 - [p1]Piraveenan Mahendra, Mikhail Prokopenko
Decentralized Multi-Agent Clustering in Scale-free Sensor Networks. Computational Intelligence: A Compendium 2008: 485-515 - [e1]Mikhail Prokopenko
Advances in Applied Self-organizing Systems. Advanced Information and Knowledge Processing, Springer 2008, ISBN 978-1-84628-981-1 [contents] - [i1]Joseph T. Lizier, Mikhail Prokopenko, Albert Y. Zomaya:
A framework for the local information dynamics of distributed computation in complex systems. CoRR abs/0811.2690 (2008) - 2007
- [c32]Joseph T. Lizier
Information Transfer by Particles in Cellular Automata. ACAL 2007: 49-60 - [c31]George M. Mathews, Hugh F. Durrant-Whyte, Mikhail Prokopenko
Asynchronous gradient-based optimisation for team decision making. CDC 2007: 3145-3150 - [c30]Piraveenan Mahendra, Daniel Polani, Mikhail Prokopenko
Emergence of Genetic Coding: An Information-Theoretic Model. ECAL 2007: 42-52 - [c29]Joseph T. Lizier
Detecting Non-trivial Computation in Complex Dynamics. ECAL 2007: 895-904 - [c28]Piraveenan Mahendra, Mikhail Prokopenko
Information-Cloning of Scale-Free Networks. ECAL 2007: 925-935 - [c27]Elth Ogston, Astrid Zeman
Clustering Distributed Energy Resources for Large-Scale Demand Management. SASO 2007: 97-108 - 2006
- [j3]Mikhail Prokopenko
A preferential semantics for causal reasoning about action. Ann. Math. Artif. Intell. 46(4): 375-413 (2006) - [c26]Vadim Gerasimov, Gerry Healy, Mikhail Prokopenko
Symbiotic Sensor Networks in Complex Underwater Terrains: A Simulation Framework. KES (3) 2006: 315-323 - [c25]Astrid Zeman
Predicting Cluster Formation in Decentralized Sensor Grids. KES (3) 2006: 324-332 - [c24]George M. Mathews, Hugh F. Durrant-Whyte, Mikhail Prokopenko
Scalable Decentralised Decision Making and Optimisation in Heterogeneous Teams. MFI 2006: 383-388 - [c23]Mikhail Prokopenko
Evolving Spatiotemporal Coordination in a Modular Robotic System. SAB 2006: 558-569 - [c22]Mikhail Prokopenko
Optimizing Potential Information Transfer with Self-referential Memory. UC 2006: 228-242 - 2005
- [j2]Mikhail Prokopenko
Self-Organizing Hierarchies in Sensor and Communication Networks. Artif. Life 11(4): 407-426 (2005) - [j1]Mikhail Prokopenko
On connectivity of reconfigurable impact networks in ageless aerospace vehicles. Robotics Auton. Syst. 53(1): 36-58 (2005) - [c21]Piraveenan Mahendra rajah, Mikhail Prokopenko
On Decentralised Clustering in self-monitoring networks. AAMAS 2005: 1175-1176 - [c20]Mikhail Prokopenko
On Convergence of Dynamic Cluster Formation in Multi-agent Networks. ECAL 2005: 884-894 - [c19]Mikhail Prokopenko
Complexity Metrics for Self-monitoring Impact Sensing Networks. Evolvable Hardware 2005: 239-246 - [c18]Mikhail Prokopenko
On Self-organising Diagnostics in Impact Sensing Networks. KES (4) 2005: 170-178 - [c17]Fabio Boschetti, Mikhail Prokopenko
Defining and Detecting Emergence in Complex Networks. KES (4) 2005: 573-580 - [c16]George M. Mathews, Hugh F. Durrant-Whyte, Mikhail Prokopenko
Measuring Global Behaviour of Multi-agent Systems from Pair-Wise Mutual Information. KES (4) 2005: 587-594 - [c15]Piraveenan Mahendra rajah, Mikhail Prokopenko
Towards Adaptive Clustering in Self-monitoring Multi-agent Networks. KES (2) 2005: 796-805 - 2003
- [c14]Howard Lovatt, Geoff Poulton, Don Price, Mikhail Prokopenko, Philip Valencia, Peter Wang:
Self-organising impact boundaries in ageless aerospace vehicles. AAMAS 2003: 249-256 - [c13]Mark Foreman, Mikhail Prokopenko
Phase Transitions in Self-Organising Sensor Networks. ECAL 2003: 781-791 - [c12]Mikhail Prokopenko
Evaluating Team Performance at the Edge of Chaos. RoboCup 2003: 89-101 - 2002
- [c11]Mikhail Prokopenko
Relating the Entropy of Joint Beliefs to Multi-agent Coordination. RoboCup 2002: 367-374 - 2001
- [c10]Mikhail Prokopenko
Cyberoos'2001: "Deep Behaviour Projection" Agent Architecture. RoboCup 2001: 507-510 - 2000
- [c9]Mikhail Prokopenko
A Unifying Semantics for Causal Ramifications. PRICAI 2000: 38-49 - [c8]Marc Butler, Mikhail Prokopenko
Flexible Synchronisation within RoboCup Environment: A Comparative Analysis. RoboCup 2000: 119-128 - [c7]Mikhail Prokopenko
On Emergence of Scalable Tactical and Strategic Behavior. RoboCup 2000: 357-366
1990 – 1999
- 1999
- [c6]Mikhail Prokopenko
Causal Propagation Semantics - A Study. Australian Joint Conference on Artificial Intelligence 1999: 378-392 - [c5]Pavlos Peppas, Maurice Pagnucco, Mikhail Prokopenko, Norman Y. Foo, Abhaya C. Nayak:
Preferential Semantics for Causal Systems. IJCAI 1999: 118-123 - [c4]Mikhail Prokopenko
Cyberoos'99: Tactical Agents in the RoboCup Simulation League. RoboCup 1999: 546-549 - 1997
- [c3]Pavlos Peppas, Maurice Pagnucco, Mikhail Prokopenko
Preferential Semantics for Causal Fixpoints. Australian Joint Conference on Artificial Intelligence 1997: 197-206 - 1996
- [c2]Pavlos Peppas, Abhaya C. Nayak, Maurice Pagnucco, Norman Y. Foo, Rex Bing Hung Kwok, Mikhail Prokopenko:
Revision vs. Update: Taking a Closer Look. ECAI 1996: 95-99 - [c1]Mikhail Prokopenko
Modelling intertia in action languages. PRICAI Workshops 1996: 234-247
Coauthor Index
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