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Personal profile

Biography

Dr Julian Garcia is a Lecturer at the Faculty of Information Technology, Monash University. He is interested in evolutionary dynamics, game theory, cooperation, evoutionary computation and computational models in biology and social science.

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Monash teaching commitment

Dr Julian Garcia has experience as the Chief Examiner for the following units in the Faculty of IT:

  • FIT1008/FIT2085 Introduction to computer science
  • FIT1016/FIT2044 Advanced project level 1
  • FIT1029 Algorithmic problem solving
  • FIT2082 Research project 2
  • FIT4012 Advanced topics in computational science

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

  • FIT1008/FIT2085 Introduction to computer science
  • FIT1016/FIT2044 Advanced project level 1
  • FIT1029 Algorithmic problem solving
  • FIT2082 Research project 2
  • FIT4012 Advanced topics in computational science

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

Projects 2015 2018

Research Output 2003 2018

Green beards and signaling: Why morality is not indispensable

Handfield, T., Thrasher, J. J. & Garcia Gallego, J. A., 2018, In : Behavioral and Brain Sciences. 41, p. e103 1 p.

Research output: Contribution to journalComment / DebateOtherpeer-review

No strategy can win in the repeated prisoner’s dilemma: linking game theory and computer simulations.

Garcia, J. & van Veelen, M., 29 Aug 2018, In : Frontiers in Robotics and AI. 5, 14 p., 102.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
File

Incentive Compatibility of Pay Per Last N Shares in Bitcoin Mining Pools

Zolotavkin, Y., Garcia, J. & Rudolph, C., 2017, Decision and Game Theory for Security - 8th International Conference, GameSec 2017, Proceedings: 8th International Conference, GameSec 2017, Vienna, Austria, October 23–25, 2017, Proceedings. Rass, S., An, B., Kiekintveld, C., Fang, F. & Schauer, S. (eds.). Cham, Switzerland: Springer, Vol. 10575 LNCS. p. 21-39 19 p. (Lecture Notes in Computer Science; vol. 10575).

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

Collective homeostasis and time-resolved models of self-organised task allocation

Meyer, B., Weidenmuller, A., Chen, R. & Garcia, J., 2016, 9th EAI International Conference on Bioinspired Information and Communications Technologies (BICT 2015). Suzuki, J., Nakano, T. & Hess, H. (eds.). New York NY USA: Association for Computing Machinery (ACM), p. 1-10 10 p.

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