- author = "John Ahlgren and Maria Eugenia Berezin and Kinga Bojarczuk and Elena Dulskyte and Inna Dvortsova and Johann George and Natalija Gucevska and Mark Harman and Ralf Laemmel and Erik Meijer and Silvia Sapora and Justin Spahr-Summers",
- title = "{WES}: Agent-based User Interaction Simulation on Real Infrastructure",
- booktitle = "GI @ ICSE 2020",
- year = "2020",
- month = "3 " # jul,
- editor = "Shin Yoo and Justyna Petke and Westley Weimer and Bobby R. Bruce",
- publisher = "ACM",
- address = "internet",
- pages = "276--284",
- note = "Invited Keynote",
- keywords = "genetic algorithms, genetic programming, genetic improvement, SBSE, social testing, APR, Connectivity, Data Science, Facebook AI Research, Human Computer Interaction, UX Human, Machine Learning",
- isbn13 = "978-1-4503-7963-2",
-
URL = "
https://research.fb.com/wp-content/uploads/2020/04/WES-Agent-based-User-Interaction-Simulation-on-Real-Infrastructure.pdf",
-
URL = "
https://research.fb.com/publications/wes-agent-based-user-interaction-simulation-on-real-infrastructure/",
-
video_url = "https://youtu.be/GsNKCifm44A",
-
DOI = "
doi:10.1145/3387940.3392089",
- size = "9 pages",
- abstract = "We introduce the Web-Enabled Simulation (WES) research agenda, and describe FACEBOOK WW system. We describe the application of WW to reliability, integrity and privacy at FACEBOOK, where it is used to simulate social media interactions on an infrastructure consisting of hundreds of millions of lines of code. The WES agenda draws on research from many areas of study, including Search Based Software Engineering, Machine Learning, Programming Languages, Multi Agent Systems, Graph Theory, Game AI, and AI Assisted Game Play. We conclude with a set of open problems and research challenges to motivate wider investigation.",
-
notes = "London probable
. The WES agenda draws on research from many areas of study, including (but not limited to) Search Based Software Engineering, Machine Learning, Programming Languages, Multi Agent Systems, Graph Theory, Game AI, AI Assisted Game Play.
Intelligent learning/trainable Bots interact with The social graph.
A/B testing. Automated Mechanism Design.
Social bugs/social testing. scammer bot. Super-human bots. Big changes in machine learning classification performance, data pipeline line breakages.
WES Test Oracle uses machine learning.
Co-evolutionary Mechanism Learning.
virtual speed humps to hinter anti-social behaviour.
Video: https://youtu.be/GsNKCifm44A (13--55 minutes from start, followed by discussion, end 1:13:00)
http://geneticimprovementofsoftware.com/gi2020icse.html",
