People_

Dr Michael Harre

MSc (Honours 1st class, University of Auckland), PhD (University of Sydney)

Senior Lecturer
Modelling and Simulation Group, School of Computer Science.

Phone

+61 2 9114 1124

Fax

+61 2 9351 8642

Email

michael.harre@sydney.edu.au

Address

J12 - Computer Science Building

The University of Sydney

Websites

School of Computer Science

Modelling and Simulation Group

Centre for Complex Systems

Biographical details

Dr. Michael Harre received his PhD in economic game theory from the University of Sydney in 2009, focusing on the psychology of games and the tipping points where economic systems can suddenly collapse. He went on to lead a US Airforce funded program that produced an Artificial Intelligence that could simulate the human-like psychology of how 'amateurs' and 'experts' are able to learn using artificial neural networks. Following on from this, he was the led researcher on an ARC Discovery Project that simulated psychological factors, such as herding behaviour, in buying and selling in housing markets. He currently works on using economic game theory and concepts from psychology, such as "Theory of Mind" and "Introspection", to produce more adaptive, social artificial intellligence.

Research interests

Dr. Harre works at the intersection of artificial intelligence, economics, and psychology. He believes that it is here that we can use AI to change society for the better by modelling collective human behaviour more accurately and making machines more useful.

"If we start by understanding how each individual makes a decision and then simulating this process, across millions of people, we can build up a clear picture of how social dynamics emerge from a diverse variety of individual behaviours. Then, by placing AI into the milieu, we can test how adaptive machines can improve our collective outcomes. In this sense it's important for us to develop better representations of how our social psychology works and how we can model it. I believe this will be one of the most important developments in AI and social simulations in the coming decades."

Dr. Harre works at the intersection of artificial intelligence, economics, and psychology. He believes that it is here that we can use AI to change society for the better by modelling collective human behaviour more accurately and making machines more useful.

"If we start by understanding how each individual makes a decision and then simulating this process, across millions of people, we can build up a clear picture of how social dynamics emerges from a diverse variety of individual behaviours. Then, by throwing AI into the mix, we can use adaptive machines to improve outcomes for society. It's important for us to develop better representations of how our social psychology works. I believe this will be one of the most important developments in AI and social simulations in the coming decades."

Teaching and supervision

CSYS5010 - Introduction to Complex Systems
CSYS5040 -Criticality in Dynamical Systems
CSYS5050 /CSYS5051 /CSYS5060 /CSYS5061 - Capstone projects

Current projects

Self-Organising neural networks as a model of early stage perceptual development
Game theory for socially aware AI
Dunbar's number and its relationship to social networks for AI
Psychology for Artificial Intelligence
Artificial neural networks analysis using information theory
Research at the intersection of AI - Economics - Psychology
Liquid brains versus solid brains: Which is better and for what?

Themes

Complex systems

PhD and master's project opportunities

Modelling the catastrophe of a crash in the financial markets

Teaching dumb agents to play smart games in economics

The Perceptual Expertise of Skilled Game Players: What can they see that I can’t

Current research students

Project title	Research student
Doctor of Philosophy (Engineering)	Cathie DRYSDALE
Multi-Scale Active Inference for Collective Intelligence	Patrick SWEENEY

Selected publications

An Introduction to Transfer Entropy: Information Flow in Complex Systems

(Springer, 2016)

Publications

By Type

Expand all

Books

Bossomaier, T., Barnett, L., Harre, M., Lizier, J. (2016). An Introduction to Transfer Entropy: Information Flow in Complex Systems. Cham: Springer. [More Information]

Book Chapters

Bossomaier, T., Harre, M., Thompson, J. (2009). Evolution of Trust in Economic Systems. In Marisa Faggini, Thomas Lux (Eds.), Coping with the Complexity of Economics, (pp. 3-18). Italy: Springer. [More Information]

Journals

Harre, M., Harris, A., McCallum, S. (2024). Mathematica code for the topological analysis of Thom's Catastrophes in 2 × 2 economic games. Software Impacts, 20. [More Information]
Harre, M., Zaitouny, A. (2023). Detecting criticality in complex univariate time-series: A case study of the U.S. housing market crisis and other markets. Expert Systems with Applications, 211. [More Information]
Ruiz-Serra, J., Harre, M. (2023). Inverse Reinforcement Learning as the Algorithmic Basis for Theory of Mind: Current Methods and Open Problems. Algorithms, 16(2). [More Information]
Harris, A., McCallum, S., Harre, M. (2023). On the smooth unfolding of bifurcations in quantal-response equilibria. Games and Economic Behavior. [More Information]
Harre, M. (2022). Entropy, Economics, and Criticality. Entropy, 24(2), 210. [More Information]
Arias Calluari, K., Najafi, M., Harre, M., Tang, Y., Alonso-Marroquin, F. (2022). Testing stationarity of the detrended price return in stock markets. Physica A, 587, 126487-1-126487-22. [More Information]
Harre, M. (2022). What Can Game Theory Tell Us about an AI ‘Theory of Mind’? Games, 13(3). [More Information]
Harre, M., Eremenko, A., Glavatskiy, K., Hopmere, M., Pinheiro, L., Watson, S., Crawford, L. (2021). Complexity Economics in a Time of Crisis: Heterogeneous Agents, Interconnections, and Contagion. Systems, 9(4), 73-1-73-39. [More Information]
Glavatskiy, K., Prokopenko, M., Carro, A., Ormerod, P., Harre, M. (2021). Explaining herding and volatility in the cyclical price dynamics of urban housing markets using a large‑scale agent‑based model. SN Business & Economics, 1(6), 1-21. [More Information]
Harre, M. (2021). Information theory for agents in artificial intelligence, psychology, and economics. Entropy, 23(3), 1-19. [More Information]
Arias Calluari, K., Alonso-Marroquin, F., Najafi, M., Harre, M. (2021). Methods for forecasting the effect of exogenous risks on stock markets. Physica A, 568, 125587. [More Information]
Evans, B., Glavatskiy, K., Harre, M., Prokopenko, M. (2021). The impact of social influence in Australian real-estate: market forecasting with a spatial agent-based model, Journal of Economic Interaction and Coordination. Journal of Economic Interaction and Coordination, 1(1). [More Information]
Crosato, E., Prokopenko, M., Harre, M. (2021). The Polycentric Dynamics of Melbourne and Sydney: Suburb attractiveness divides a city at the home ownership level. Proceedings of the Royal Society A, 477(2245), 20200514. [More Information]
Hopmere, M., Crawford, L., Harre, M. (2020). Proactively Monitoring Large Project Portfolios. Project Management Journal, 51(6), 656-669. [More Information]
Alonso-Marroquin, F., Arias Calluari, K., Harre, M., Najafi, M., Herrmann, H. (2019). Q-Gaussian diffusion in stock markets. Physical Review E, 99(6), 062313-1-062313-5. [More Information]
Prokopenko, M., Harre, M., Lizier, J., Boschetti, F., Peppas, P., Kauffman, S. (2019). 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. [More Information]
Harre, M., Harris, A., McCallum, S. (2019). Singularities and Catastrophes in Economics: Historical Perspectives and Future Directions. Revue Roumaine de Mathematiques Pures et Appliquees, 64(4), 403-429.
Khalili, S., Harre, M., Morley, P. (2018). A temporal social resilience framework of communities to disasters in Australia. Geoenvironmental Disasters, 5(1), 1-9. [More Information]
Lizier, J., Harre, M., Mitchell, M., DeDeo, S., Finn, C., Lindgren, K., Lizier, A., Sayama, H. (2018). An Interview-Based Study of Pioneering Experiences in Teaching and Learning Complex Systems in Higher Education. Complexity, 2018, 1-11. [More Information]
Arias Calluari, K., Alonso-Marroquin, F., Harre, M. (2018). Closed-form solutions for the Levy-stable distribution. Physical Review E, 98(1), 1-16. [More Information]
Bossomaier, T., Barnett, L., Steen, A., Harre, M., d’Alessandro, S., Duncan, R. (2018). Information flow around stock market collapse. Accounting and Finance, 58(S1), 45-58. [More Information]
Harre, M. (2018). Strategic Information Processing from Behavioural Data in Iterated Games. Entropy, 20(1), 1-12. [More Information]
Levula, A., Harre, M., Wilson, A. (2018). The Association Between Social Network Factors with Depression and Anxiety at Different Life Stages. Community Mental Health Journal, 54(6), 842-854. [More Information]
Levula, A., Harre, M., Wilson, A. (2017). Social network factors as mediators of mental health and psychological distress. International Journal of Social Psychiatry, 63(6), 235-243. [More Information]
Harre, M. (2017). Utility, revealed preferences theory, and strategic ambiguity in iterated games. Entropy, 19(5), 1-15. [More Information]
Kasthurirathna, D., Harre, M., Piraveenan, M. (2016). Optimising influence in social networks using bounded rationality models. Social Network Analysis and Mining, 6(1), 1-14. [More Information]
Levula, A., Harre, M. (2016). Social networks and mental health: An egocentric perspective. Mental Health Review Journal, 21(3), 161-173. [More Information]
Levula, A., Wilson, A., Harre, M. (2016). The association between social network factors and mental health at different life stages. Quality of Life Research, 25(7), 1725-1733. [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]
Khalili, S., Harre, M., Morley, P. (2015). A temporal framework of social resilience indicators of communities to flood, case studies: Wagga wagga and Kempsey, NSW, Australia. International Journal of Disaster Risk Reduction, 13, 248-254. [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]
Gobet, F., Snyder, A., Bossomaier, T., Harre, M. (2014). Designing a "better" brain: Insights from experts and savants. Frontiers in Psychology, 5(May), 1-3. [More Information]
Bossomaier, T., Barnett, L., Harre, M., Jelinek, H. (2014). Dynamic suppression of sensory detail saves energy. International Journal on Advances in Intelligent Systems, 7(1&2), 135-144.
Kasthurirathna, D., Piraveenan, M., Harre, M. (2014). Influence of topology in the evolution of coordination in complex networks under information diffusion constraints. European Physical Journal B, 87(1), 1-15. [More Information]
Harre, M., Bossomaier, T. (2014). Strategic islands in economic games: Isolating economies from better outcomes. Entropy, 16(9), 5102-5121. [More Information]
Harre, M. (2013). A social network model for the development of a 'Theory of Mind'. Journal of Physics: Conference Series, 410(1), 1-4. [More Information]
Harre, M. (2013). From Amateur to Professional: A Neuro-cognitive Model of Categories and Expert Development. Minds and Machines, 23(4), 443-472. [More Information]
Bossomaier, T., Barnett, L., Harre, M. (2013). Information and phase transitions in socio-economic systems. Complex Adaptive Systems Modeling, 1, 1-25. [More Information]
Barnett, L., Lizier, J., Harre, M., Seth, A., Bossomaier, T. (2013). Information Flow in a Kinetic Ising Model Peaks in the Disordered Phase. Physical Review Letters, 111(17), 1-4. [More Information]
Harre, M. (2013). Navigating catastrophes: Local but not global optimisation allows for macro-economic navigation of crises. Journal of Physics: Conference Series, 410, 1-4. [More Information]
Harre, M., Atkinson, S., Hossain, L. (2013). Simple nonlinear systems and navigating catastrophes. European Physical Journal B, 86(6), 1-8. [More Information]
Harre, M. (2013). The neural circuitry of expertise: Perceptual learning and social cognition. Frontiers in Human Neuroscience, 7, 1-14. [More Information]
Wolpert, D., Harre, M., Olbrich, E., Bertschinger, N., Jost, J. (2012). Hysteresis effects of changing the parameters of noncooperative games. Physical Review E, 85(3), 1-12. [More Information]
Harre, M., Snyder, A. (2012). Intuitive Expertise and Perceptual Templates. Minds and Machines, 22(3), 167-182. [More Information]
Bossomaier, T., Harre, M., Thiruvarudchelvan, V. (2012). Seeing the Big Picture: Influence of Global Factors on Local Decisions. International Journal on Advances in Software, 5(1-2), 121-130.
Harre, M., Bossomaier, T., Snyder, A. (2012). The Perceptual Cues that Reshape Expert Reasoning. Scientific Reports, 2, 1-9. [More Information]
Wolpert, D., Jamison, J., Newth, D., Harre, M. (2011). Strategic Choice of Preferences: The Persona Model. The BE Journal of Theoretical Economics, 11(1), 1-37. [More Information]
Harre, M., Bossomaier, T., Gillett, A., Snyder, A. (2011). The Aggregate Complexity of Individual Decisions in the Game of Go. European Physical Journal B, 80(4), 555 (1)-563 (9). [More Information]
Harre, M., Bossomaier, T., Snyder, A. (2011). The Development of Human Expertise in a Complex Environment. Minds and Machines, 21(3), 449-464. [More Information]
Harre, M., Bossomaier, T. (2010). Equity trees and graphs via information theory. European Physical Journal B, 73(1), 59-68. [More Information]
Bossomaier, T., Standish, R., Harre, M. (2010). Simulation of Trust in Client-Wealth Management Adviser Relationships. International Journal of Simulation and Process Modelling, 6(1), 40-49. [More Information]
Bossomaier, T., Harre, M., Knittel, A., Snyder, A. (2009). A semantic network approach to the Creativity Quotient (CQ). Creativity Research Journal, 21(1), 64-71. [More Information]
Harre, M., Bossomaier, T. (2009). Phase-transition-like behaviour of information measures in financial markets. EPL, 87(1), 18009-p1-18009-p5. [More Information]

show 50 more

Conferences

Harre, M. (2015). Entropy and transfer entropy: the Dow Jones and the build-up to the 1997 Asian Crisis. International Conference on Social Modeling and Simulation, plus Econophysics Colloquium 2014, Cham: Springer. [More Information]
Kasthurirathna, D., Harre, M., Piraveenan, M. (2015). Influence modelling using bounded rationality in social networks. 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2015), New York: Association for Computing Machinery (ACM). [More Information]
Harre, M. (2014). Social cognition in silica: A 'theory of mind' for socially aware artificial minds. 6th International Conference on Agents and Artificial Intelligence (ICAART 2014), Angers: SciTePress. [More Information]
Kasthurirathna, D., Piraveenan, M., Harre, M. (2013). Evolution of coordination in scale-free and small world networks under information diffusion constraints. 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013), New York, NY, USA: Association for Computing Machinery (ACM). [More Information]
Bossomaier, T., Delaney, A., Crane, J., Gobet, F., Harre, M. (2013). The Neurological Scaling of Human Expertise. The Fifth International Conference on Advanced Cognitive Technologies and Applications, Wilmington, DE, United States: International Academy, Research and Industry Association (IARIA).
Bossomaier, T., Harre, M. (2011). Global Context Influences Local Decisions. 3rd International Conference on Advanced Cognitive Technologies and Applications, COGNITIVE 2011, Rome, Italy: ThinkMind.
Snyder, A., Harre, M. (2011). Neural Networks for Opponent Modelling in Complex Contexts. IEEE Conference on Intelligent Computing and Intelligent Systems.
Snyder, A., Harre, M. (2011). Transitions in Learning about your Opponent. IEEE Conference on Intelligent Computing and Intelligent Systems.
Harre, M., Bossomaier, T., Chu, R., Snyder, A. (2010). Strategic Information in the Game of Go. International Conference on Cognitive and Neural Systems Engineering, Tokyo, Japan: World Academy of Science, Engineering and Technology (W A S E T).
Bossomaier, T., Standish, R., Harre, M. (2009). Visualisation of Client Networks from a Large Database. 13th International Conference Information Visualisation IV 2009, United States: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Carr, D., Harre, M. (2008). A Computer Game Portraying Special and General Relativity. 18th International Conference on General Relativity and Gravitation (GRG18) 2007, United Kingdom: Institute of Physics Publishing.
Harre, M., Bossomaier, T. (2007). What's non-linear in financial markets? 16th IASTED International Conference on Applied Simulation and Modelling ASM 2007, Canada: ACTA Press.
Bossomaier, T., Knittel, A., Harre, M., Snyder, A. (2006). An Evolutionary Agent Approach to Dots-and-Boxes. 10th IASTED International Conference on Software Engineering and Applications SEA 2006, United States: ACTA Press.
Harre, M. (2006). Micro to Macro Game Theory in a Multi-Agent System. International Conference on Computational Intelligence for Modelling, Control and Automation CIMCA 2006, United States: Institute of Electrical and Electronics Engineers (IEEE).
Knittel, A., Bossomaier, T., Harre, M., Snyder, A. (2006). Stochastic Reinforcement in Evolutionary Multi-Agent Game Playing of Dots-and-Boxes. International Conference on Computational Intelligence for Modelling, Control and Automation CIMCA 2006, United States: Institute of Electrical and Electronics Engineers (IEEE).
Harre, M., Bossomaier, T. (2006). Thinking Outside the Box: A Multi-Agent Approach to Complex Games. 10th IASTED International Conference on Software Engineering and Applications SEA 2006, United States: ACTA Press.

show 13 more

Magazine / Newspaper Articles

Harre, M. (2012). Social Network Size Linked to Brain Size. Scientific American.

By Year

Expand all

2024

Harre, M., Harris, A., McCallum, S. (2024). Mathematica code for the topological analysis of Thom's Catastrophes in 2 × 2 economic games. Software Impacts, 20. [More Information]

2023

Harre, M., Zaitouny, A. (2023). Detecting criticality in complex univariate time-series: A case study of the U.S. housing market crisis and other markets. Expert Systems with Applications, 211. [More Information]
Ruiz-Serra, J., Harre, M. (2023). Inverse Reinforcement Learning as the Algorithmic Basis for Theory of Mind: Current Methods and Open Problems. Algorithms, 16(2). [More Information]
Harris, A., McCallum, S., Harre, M. (2023). On the smooth unfolding of bifurcations in quantal-response equilibria. Games and Economic Behavior. [More Information]

2022

Harre, M. (2022). Entropy, Economics, and Criticality. Entropy, 24(2), 210. [More Information]
Arias Calluari, K., Najafi, M., Harre, M., Tang, Y., Alonso-Marroquin, F. (2022). Testing stationarity of the detrended price return in stock markets. Physica A, 587, 126487-1-126487-22. [More Information]
Harre, M. (2022). What Can Game Theory Tell Us about an AI ‘Theory of Mind’? Games, 13(3). [More Information]

2021

Harre, M., Eremenko, A., Glavatskiy, K., Hopmere, M., Pinheiro, L., Watson, S., Crawford, L. (2021). Complexity Economics in a Time of Crisis: Heterogeneous Agents, Interconnections, and Contagion. Systems, 9(4), 73-1-73-39. [More Information]
Glavatskiy, K., Prokopenko, M., Carro, A., Ormerod, P., Harre, M. (2021). Explaining herding and volatility in the cyclical price dynamics of urban housing markets using a large‑scale agent‑based model. SN Business & Economics, 1(6), 1-21. [More Information]
Harre, M. (2021). Information theory for agents in artificial intelligence, psychology, and economics. Entropy, 23(3), 1-19. [More Information]
Arias Calluari, K., Alonso-Marroquin, F., Najafi, M., Harre, M. (2021). Methods for forecasting the effect of exogenous risks on stock markets. Physica A, 568, 125587. [More Information]
Evans, B., Glavatskiy, K., Harre, M., Prokopenko, M. (2021). The impact of social influence in Australian real-estate: market forecasting with a spatial agent-based model, Journal of Economic Interaction and Coordination. Journal of Economic Interaction and Coordination, 1(1). [More Information]
Crosato, E., Prokopenko, M., Harre, M. (2021). The Polycentric Dynamics of Melbourne and Sydney: Suburb attractiveness divides a city at the home ownership level. Proceedings of the Royal Society A, 477(2245), 20200514. [More Information]

show 3 more

2020

Hopmere, M., Crawford, L., Harre, M. (2020). Proactively Monitoring Large Project Portfolios. Project Management Journal, 51(6), 656-669. [More Information]

2019

Alonso-Marroquin, F., Arias Calluari, K., Harre, M., Najafi, M., Herrmann, H. (2019). Q-Gaussian diffusion in stock markets. Physical Review E, 99(6), 062313-1-062313-5. [More Information]
Prokopenko, M., Harre, M., Lizier, J., Boschetti, F., Peppas, P., Kauffman, S. (2019). 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. [More Information]
Harre, M., Harris, A., McCallum, S. (2019). Singularities and Catastrophes in Economics: Historical Perspectives and Future Directions. Revue Roumaine de Mathematiques Pures et Appliquees, 64(4), 403-429.

2018

Khalili, S., Harre, M., Morley, P. (2018). A temporal social resilience framework of communities to disasters in Australia. Geoenvironmental Disasters, 5(1), 1-9. [More Information]
Lizier, J., Harre, M., Mitchell, M., DeDeo, S., Finn, C., Lindgren, K., Lizier, A., Sayama, H. (2018). An Interview-Based Study of Pioneering Experiences in Teaching and Learning Complex Systems in Higher Education. Complexity, 2018, 1-11. [More Information]
Arias Calluari, K., Alonso-Marroquin, F., Harre, M. (2018). Closed-form solutions for the Levy-stable distribution. Physical Review E, 98(1), 1-16. [More Information]
Bossomaier, T., Barnett, L., Steen, A., Harre, M., d’Alessandro, S., Duncan, R. (2018). Information flow around stock market collapse. Accounting and Finance, 58(S1), 45-58. [More Information]
Harre, M. (2018). Strategic Information Processing from Behavioural Data in Iterated Games. Entropy, 20(1), 1-12. [More Information]
Levula, A., Harre, M., Wilson, A. (2018). The Association Between Social Network Factors with Depression and Anxiety at Different Life Stages. Community Mental Health Journal, 54(6), 842-854. [More Information]

show 3 more

2017

Levula, A., Harre, M., Wilson, A. (2017). Social network factors as mediators of mental health and psychological distress. International Journal of Social Psychiatry, 63(6), 235-243. [More Information]
Harre, M. (2017). Utility, revealed preferences theory, and strategic ambiguity in iterated games. Entropy, 19(5), 1-15. [More Information]

2016

Bossomaier, T., Barnett, L., Harre, M., Lizier, J. (2016). An Introduction to Transfer Entropy: Information Flow in Complex Systems. Cham: Springer. [More Information]
Kasthurirathna, D., Harre, M., Piraveenan, M. (2016). Optimising influence in social networks using bounded rationality models. Social Network Analysis and Mining, 6(1), 1-14. [More Information]
Levula, A., Harre, M. (2016). Social networks and mental health: An egocentric perspective. Mental Health Review Journal, 21(3), 161-173. [More Information]
Levula, A., Wilson, A., Harre, M. (2016). The association between social network factors and mental health at different life stages. Quality of Life Research, 25(7), 1725-1733. [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]

show 2 more

2015

Khalili, S., Harre, M., Morley, P. (2015). A temporal framework of social resilience indicators of communities to flood, case studies: Wagga wagga and Kempsey, NSW, Australia. International Journal of Disaster Risk Reduction, 13, 248-254. [More Information]
Harre, M. (2015). Entropy and transfer entropy: the Dow Jones and the build-up to the 1997 Asian Crisis. International Conference on Social Modeling and Simulation, plus Econophysics Colloquium 2014, Cham: Springer. [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]
Kasthurirathna, D., Harre, M., Piraveenan, M. (2015). Influence modelling using bounded rationality in social networks. 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2015), New York: Association for Computing Machinery (ACM). [More Information]

show 1 more

2014

Gobet, F., Snyder, A., Bossomaier, T., Harre, M. (2014). Designing a "better" brain: Insights from experts and savants. Frontiers in Psychology, 5(May), 1-3. [More Information]
Bossomaier, T., Barnett, L., Harre, M., Jelinek, H. (2014). Dynamic suppression of sensory detail saves energy. International Journal on Advances in Intelligent Systems, 7(1&2), 135-144.
Kasthurirathna, D., Piraveenan, M., Harre, M. (2014). Influence of topology in the evolution of coordination in complex networks under information diffusion constraints. European Physical Journal B, 87(1), 1-15. [More Information]
Harre, M. (2014). Social cognition in silica: A 'theory of mind' for socially aware artificial minds. 6th International Conference on Agents and Artificial Intelligence (ICAART 2014), Angers: SciTePress. [More Information]
Harre, M., Bossomaier, T. (2014). Strategic islands in economic games: Isolating economies from better outcomes. Entropy, 16(9), 5102-5121. [More Information]

show 2 more

2013

Harre, M. (2013). A social network model for the development of a 'Theory of Mind'. Journal of Physics: Conference Series, 410(1), 1-4. [More Information]
Kasthurirathna, D., Piraveenan, M., Harre, M. (2013). Evolution of coordination in scale-free and small world networks under information diffusion constraints. 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013), New York, NY, USA: Association for Computing Machinery (ACM). [More Information]
Harre, M. (2013). From Amateur to Professional: A Neuro-cognitive Model of Categories and Expert Development. Minds and Machines, 23(4), 443-472. [More Information]
Bossomaier, T., Barnett, L., Harre, M. (2013). Information and phase transitions in socio-economic systems. Complex Adaptive Systems Modeling, 1, 1-25. [More Information]
Barnett, L., Lizier, J., Harre, M., Seth, A., Bossomaier, T. (2013). Information Flow in a Kinetic Ising Model Peaks in the Disordered Phase. Physical Review Letters, 111(17), 1-4. [More Information]
Harre, M. (2013). Navigating catastrophes: Local but not global optimisation allows for macro-economic navigation of crises. Journal of Physics: Conference Series, 410, 1-4. [More Information]
Harre, M., Atkinson, S., Hossain, L. (2013). Simple nonlinear systems and navigating catastrophes. European Physical Journal B, 86(6), 1-8. [More Information]
Harre, M. (2013). The neural circuitry of expertise: Perceptual learning and social cognition. Frontiers in Human Neuroscience, 7, 1-14. [More Information]
Bossomaier, T., Delaney, A., Crane, J., Gobet, F., Harre, M. (2013). The Neurological Scaling of Human Expertise. The Fifth International Conference on Advanced Cognitive Technologies and Applications, Wilmington, DE, United States: International Academy, Research and Industry Association (IARIA).

show 6 more

2012

Wolpert, D., Harre, M., Olbrich, E., Bertschinger, N., Jost, J. (2012). Hysteresis effects of changing the parameters of noncooperative games. Physical Review E, 85(3), 1-12. [More Information]
Harre, M., Snyder, A. (2012). Intuitive Expertise and Perceptual Templates. Minds and Machines, 22(3), 167-182. [More Information]
Bossomaier, T., Harre, M., Thiruvarudchelvan, V. (2012). Seeing the Big Picture: Influence of Global Factors on Local Decisions. International Journal on Advances in Software, 5(1-2), 121-130.
Harre, M. (2012). Social Network Size Linked to Brain Size. Scientific American.
Harre, M., Bossomaier, T., Snyder, A. (2012). The Perceptual Cues that Reshape Expert Reasoning. Scientific Reports, 2, 1-9. [More Information]

show 2 more

2011

Bossomaier, T., Harre, M. (2011). Global Context Influences Local Decisions. 3rd International Conference on Advanced Cognitive Technologies and Applications, COGNITIVE 2011, Rome, Italy: ThinkMind.
Snyder, A., Harre, M. (2011). Neural Networks for Opponent Modelling in Complex Contexts. IEEE Conference on Intelligent Computing and Intelligent Systems.
Wolpert, D., Jamison, J., Newth, D., Harre, M. (2011). Strategic Choice of Preferences: The Persona Model. The BE Journal of Theoretical Economics, 11(1), 1-37. [More Information]
Harre, M., Bossomaier, T., Gillett, A., Snyder, A. (2011). The Aggregate Complexity of Individual Decisions in the Game of Go. European Physical Journal B, 80(4), 555 (1)-563 (9). [More Information]
Harre, M., Bossomaier, T., Snyder, A. (2011). The Development of Human Expertise in a Complex Environment. Minds and Machines, 21(3), 449-464. [More Information]
Snyder, A., Harre, M. (2011). Transitions in Learning about your Opponent. IEEE Conference on Intelligent Computing and Intelligent Systems.

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2010

Harre, M., Bossomaier, T. (2010). Equity trees and graphs via information theory. European Physical Journal B, 73(1), 59-68. [More Information]
Bossomaier, T., Standish, R., Harre, M. (2010). Simulation of Trust in Client-Wealth Management Adviser Relationships. International Journal of Simulation and Process Modelling, 6(1), 40-49. [More Information]
Harre, M., Bossomaier, T., Chu, R., Snyder, A. (2010). Strategic Information in the Game of Go. International Conference on Cognitive and Neural Systems Engineering, Tokyo, Japan: World Academy of Science, Engineering and Technology (W A S E T).

2009

Bossomaier, T., Harre, M., Knittel, A., Snyder, A. (2009). A semantic network approach to the Creativity Quotient (CQ). Creativity Research Journal, 21(1), 64-71. [More Information]
Bossomaier, T., Harre, M., Thompson, J. (2009). Evolution of Trust in Economic Systems. In Marisa Faggini, Thomas Lux (Eds.), Coping with the Complexity of Economics, (pp. 3-18). Italy: Springer. [More Information]
Harre, M., Bossomaier, T. (2009). Phase-transition-like behaviour of information measures in financial markets. EPL, 87(1), 18009-p1-18009-p5. [More Information]
Bossomaier, T., Standish, R., Harre, M. (2009). Visualisation of Client Networks from a Large Database. 13th International Conference Information Visualisation IV 2009, United States: Institute of Electrical and Electronics Engineers (IEEE). [More Information]

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2008

Carr, D., Harre, M. (2008). A Computer Game Portraying Special and General Relativity. 18th International Conference on General Relativity and Gravitation (GRG18) 2007, United Kingdom: Institute of Physics Publishing.

2007

Harre, M., Bossomaier, T. (2007). What's non-linear in financial markets? 16th IASTED International Conference on Applied Simulation and Modelling ASM 2007, Canada: ACTA Press.

2006

Bossomaier, T., Knittel, A., Harre, M., Snyder, A. (2006). An Evolutionary Agent Approach to Dots-and-Boxes. 10th IASTED International Conference on Software Engineering and Applications SEA 2006, United States: ACTA Press.
Harre, M. (2006). Micro to Macro Game Theory in a Multi-Agent System. International Conference on Computational Intelligence for Modelling, Control and Automation CIMCA 2006, United States: Institute of Electrical and Electronics Engineers (IEEE).
Knittel, A., Bossomaier, T., Harre, M., Snyder, A. (2006). Stochastic Reinforcement in Evolutionary Multi-Agent Game Playing of Dots-and-Boxes. International Conference on Computational Intelligence for Modelling, Control and Automation CIMCA 2006, United States: Institute of Electrical and Electronics Engineers (IEEE).
Harre, M., Bossomaier, T. (2006). Thinking Outside the Box: A Multi-Agent Approach to Complex Games. 10th IASTED International Conference on Software Engineering and Applications SEA 2006, United States: ACTA Press.

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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)

2009

Modelling concept formation, Harre M, Asian Office of Aerospace Research and Development (AOARD) - US Air Force/Research Support

International collaboration

https://cmg.soton.ac.uk/people/mb1a10/[United Kingdom]

ARC DP “Australian housing market risks: simulation, modelling and analysis”
null
https://www.inet.ox.ac.uk/[United Kingdom]

ARC DP “Australian housing market risks: simulation, modelling and analysis”
null

In the media

What Experts Say About The Call To Ban Killer Robots[22-Aug-17]

Gizmodo

It is an excellent idea to consider the positives and the negatives of autonomous systems research.More..
Dawn of the artificial employee[6-Apr-17]

Sydney Alumni Magazine

Science fiction is here. Workplace diversity will soon include artificial intelligence.More..
Uni to model housing bubble[6-Dec-16]

The Australian

The University of Sydney will take a crystal ball to Australia’s $33 billion housing market, undertaking a three-year study to model if and when the housing bubble will burst.More..
Is the Australian housing market at risk of a collapse?[5-Dec-16]

University of Sydney

Understanding if a ‘housing bubble’ exists in the Australian housing market is the new focus of a University of Sydney complex systems research team.More..
Our lives in the age of Artificial Intelligence[28-Sept-16]

University of Sydney

Artificial intelligence is all over the news. It’s driving our cars, cleaning our floors, milking our cows and some say taking our jobs and soon drones will be flying into our backyards delivering books and pizzas. But is this reality?More..
How many friends do you need to maintain your social network?[19-May-16]

ABC News

There is a limit to how many people you can have in your social network — now a study reveals why, and how many relationships you need to maintain that network.More..
Social brain refreshed[19-May-16]

University of Sydney

Complex systems researchers believe they have found a simple explanation of how individuals link to create social networksMore..
Defenceless against artificial intelligence[16-Mar-16]

University of Sydney

Artificial intelligence must be kept under human control or we may become defenceless against its capabilities, warn two University of Sydney machine learning experts.More..
AI and the ancient game of Go give new insight into expertise[27-Jul-2012]

University of Sydney

Using a traditional Chinese board game and artificial intelligence, researchers at the University of Sydney and Charles Sturt University have gained new insight into how expertise develops.More..

Faculty of Engineering

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Dr Michael Harre

Selected publications

Publications

By Type

By Year

Selected Grants

2017

2009

International collaboration

In the media

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