Dr Michael Harre

MSc (Honours 1st class, University of Auckland), PhD (University of Sydney)
Senior Lecturer
Complex Systems Research Group and Project Management Program

J05 - J05 Civil Engineering Building
The University of Sydney

Telephone +61 2 9114 1124
Fax +61 2 9351 8642

Website Complex Systems

Project Management

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. He currently leads an ARC Discovery grant that will simulate the psychology of buying and selling in housing markets in order to understand under what circumstances it might collapse and how these risks can be managed.

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 better describe what it is that makes society function better or worse based on our individual behaviour, and how we can work to improve economic outcomes for everyone.

"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."

"The most important thing we want to understand about economic markets is how they can suddenly collapse. What are the risk factors? Is it 'just' external shocks like unemployment? Is it changes in government policy? Or is it the psychology of how and why individuals change their behaviour? These are challenging questions that are only slowly beginning to be understood."

"These issues have an enormous influence on the quality of life of everyone in a society: from lost earnings that impact on retirement funds to poor health due to stress and uncertainty and even the impact that disrupted careers have on family cohesion and psychological health."

"We feel the need to connect to one another at a very deep level, or brains are hard-wired to do so and when we feel disconnected this shows up in poor mental health, as we have been able to show in our recent studies based on the Australian HILDA data sets. But these social connections also influence the way we make decisions, at some point we have all felt the social pressure of following what other people are doing even if it feels like a bad idea, and it might be these influences that put us at risk of economic crises as we follow each other into making collectively bad choices."

Teaching and supervision

  • PMGT2850 - Introduction to Project Finance
  • PMGT6873 - Project Economics and Investment
  • CSYS5010 - Introduction to Complex Systems
  • CSYS5030 - Self-Organisation and Criticality

Current research students

Project title Research student
PROPOSAL FOR MODELLING STOCK MARKETS BASED ON GAME THEORY Karina ARIAS CALLUARI

Current projects

  • Phase transitions and Information Theory for equity prices (2007-2009)
  • Foundations of behavioural economics and the Quantal Response Equilibrium (2006-2009)
  • Strategic Information, planning and pattern recognition (2009-2012)
  • Self-Organising Maps as a model of early stage perceptual development (2011-2012)
  • Tipping points and phase-transitions in socio-economic systems (current)
  • Information Theory and Information Transfer in economic systems (current)
  • Drift-Diffusion stochastics applied to problems in game theory (current)
  • Dunbar's number and its relationship to social networks (current)

In the media

    Show more

    International collaboration


      Themes

      Complex systems

      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.

      Selected publications

      Download citations: PDF RTF Endnote

      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. (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, In Press, 1-13. [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]
      • 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]

      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).
      • Wilkinson, N., Bossomaier, T., Harre, M., Snyder, A. (2010). Strategic Planning in the Game of Go Using Coupled Non-Linear Oscillators. 19th European Conference on Artificial Intelligence ECAI 2010, Amsterdam: IOS Press. [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]
      • 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.

      Magazine / Newspaper Articles

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

      2018

      • 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, In Press, 1-13. [More Information]

      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]

      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]

      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]

      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]
      • 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).

      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]

      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.

      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).
      • Wilkinson, N., Bossomaier, T., Harre, M., Snyder, A. (2010). Strategic Planning in the Game of Go Using Coupled Non-Linear Oscillators. 19th European Conference on Artificial Intelligence ECAI 2010, Amsterdam: IOS Press. [More Information]

      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]

      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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