Mr Lachlan Birdsey
|Position||Postgraduate Research Student|
|Org Unit||School of Computer Science|
|Telephone||+61 8 8313 6196|
I am a PhD candidate in Computer Science under the combined supervision of Dr. Claudia Szabo and A/Prof. Katrina Falkner. I graduated from the University of Adelaide with a Bachelor of Computer Science (Honours) in 2014. I am also involved in lecturing various Computer Science courses at University of Adelaide. Currently co-lecturer for Introduction to Programming (COMPSCI 1101).
Through my PhD I have been developing the Complex Adaptive System Language (CASL) and its associated framework called CASTLE. Main project page is located at castle-framework.io
Advanced Diploma in Music - Technical Production
SAE Adelaide - 2007
Bachelor of Computer Science (Honours) - First Class
University of Adelaide - 2014
My current research interests involve the study and use of agent-based modeling for analysing and predicting unexpected behaviours in complex systems and complex adaptive systems.
2016 ACM SIGSIM WSC Travel Grant ($US1,000)
L. Birdsey, C. Szabo, K. Falkner: Identifying Self-Organization and Adaptability in Complex Adaptive Systems, SASO 2017 (to appear)
L. Birdsey, C. Szabo, K. Falkner: Large-Scale Complex Adaptive Systems using Multi-Agent Modeling and Simulation, AAMAS 2017 (short paper)
L. Birdsey, C. Szabo, K. Falkner: CASL: A Declarative Domain Specific Language For Modeling Complex Adaptive Systems, Proceedings of the Winter Simulation Conference 2016
L. Birdsey, C. Szabo, Y.M. Teo: Twitter Knows: Understanding The Emergence Of Topics In Social Networks, Proceedings of the Winter Simulation Conference 2015 (Best Applied Paper Award)
L. Birdsey, C. Szabo: An Architecture for Identifying Emergent Behavior in Multi-Agent Systems, AAMAS 2014 (short paper)
- Measuring Emergent Behavior in Multi-Agent Systems: Supplementary Files - SupplementaryMaterial.zip [7.6MB] (application/zip)
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Entry last updated: Wednesday, 19 Jul 2017
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