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Personal profile

Biography

Professor David Green is one of Australia’s leading experts on complexity theory. His proof of universality showed that networks underlie the structure and behaviour of all complex systems. More recently, his theory of dual phase evolution explains how order emerges in many natural and artificial systems. His research on complexity and evolutionary computing has provided new insights in many diverse fields, including: forest ecology, proteins, geographic information, social networks, atificial intelligence and theory of computation. He is the author of 9 books, including Of Ants and Men (2014), Dual-Phase Evolution (2014), Complexity in Landscape Ecology (2006), and The Serendipity Machine (2004).  He is also the author of more than 200 research articles on complexity theory, evolutionary computing, and multi-agent systems.

 

Monash teaching commitment

Professor David Green has experience as the Chief Examiner for the following units in the Faculty of IT:

  • FIT2083 Research methods in computer science
  • FIT2084 Research methods in information systems and information management
  • FIT4005/FIT5185 IT research methods
  • FIT4009 Advanced topics in intelligent systems
  • FIT5125/FIT5143 IT research methods

David has experience as the Lecturer for the following units in the Faculty of IT:

  • FIT1002 Introduction to Java programming
  • FIT1004 Data management
  • FIT2083 Research methods in computer science
  • FIT2084 Research methods in information systems and information management
  • FIT4005/FIT5185 IT research methods
  • FIT4009 Advanced topics in intelligent systems
  • FIT5125/FIT5143 IT research methods
  • FIT6021 Advanced research methods 1
  • FIT6022 Advanced research methods 2

Keywords

  • Artificial Life
  • Bioinformatics
  • Complex Systems
  • Complexity in Landscape Ecology
  • Distributed Information Systems
  • Ecology
  • Environmental Informatics
  • Evolutionary Computation
  • Network Theory
  • Optimization
  • Simulation
  • Social Networks
  • Graph Theory
  • Nature-inspired algorithms

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2003 2012

Research Output 2000 2017

An information-theoretic predictive model for the accuracy of AI agents adapted from psychometrics

Chmait, N., Dowe, D. L., Li, Y-F. & Green, D. G., 2017, Artificial General Intelligence : 10th International Conference, AGI 2017, Melbourne, VIC, Australia, August 15–18, 2017, Proceedings. Everitt, T., Potapov, A. & Goertzel, B. (eds.). Cham, Switzerland: Springer-Verlag London Ltd., p. 225-236 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10414 ).

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Guidelines for improving the robustness of swarm robotic systems through adjustment of network topology

Wang, X., Green, D. & Barca, J. C., 21 Aug 2017, 2017 IEEE International Conference on Advanced Intelligent Mechatronics (AIM). Sawodny, O. (ed.). New York NY USA: IEEE, Institute of Electrical and Electronics Engineers, p. 1399-1405 7 p. 8014214

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

The nature of nature: Why nature-inspired algorithms work

Green, D., Aleti, A. & Garcia, J., 2017, Nature-Inspired Computing and Optimization: Theory and Applications. Patnaik, S., Yang, X-S. & Nakamatsu, K. (eds.). Cham, Switzerland: Springer, p. 1-27 27 p. (Modeling and Optimization in Science and Technologies; vol. 10).

Research output: Chapter in Book/Report/Conference proceedingChapter (Book)Researchpeer-review

Factors of collective intelligence: How smart are agent collectives?

Chmait, N., Dowe, D. L., Li, Y-F., Green, D. G. & Insa-Cabrera, J., 2016, ECAI 2016, 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, Including, Prestigious Applications of Artificial Intellence (PAIS 2016): Proceedings : Part 1/Part 2. Kaminka, G. A., Fox, M., Bouquet, P., Hullemeier, E., Dignum, V., Dignum, F. & Harmelen, F. V. (eds.). Netherlands: IOS Press, p. 542-550 9 p. (Frontiers in Artificial Intelligence and Applications; vol. 285).

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Pluralistic ignorance: Emergence and hypotheses testing in a multi-agent system

Seeme, F. B. & Green, D., 31 Oct 2016, International Joint Conference on Neural Networks (IJCNN 2016): 24 - 29 July 2016, Vancouver, Canada. IEEE, Institute of Electrical and Electronics Engineers, p. 5269-5274 6 p. 7727896

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Activities 2013 2013

  • 1 Submissions to industry or govt committees, commissions and inquiries
  • 1 Membership of an advisory panel/policy group/ board

Monash University (External organisation)

David Green (Member)
1 Jan 201331 Dec 2015

Activity: Industry, Government and Philanthropy Engagement and PartnershipsMembership of an advisory panel/policy group/ board

Member - Faculty of Information Technology, Monash University

David Green (Member)
1 Jan 201331 Dec 2015

Activity: External Academic EngagementSubmissions to industry or govt committees, commissions and inquiries

Press / Media

Simple thinking in a complex world is a recipe for disaster

David Geoffrey Green

14/12/16

1 item of media coverage

Press/Media: Public Engagement Activities

Nanotechnology to outer space: ten top tech innovations of 2014

David Geoffrey Green

17/12/14

1 item of media coverage

Press/Media: Public Engagement Activities