QUANTICOL - A Quantitative Approach to Management and Design of Collective and Adaptive Behaviours (RTD)

Hillston, Jane (Principal Investigator)
Gilmore, Stephen (Co-investigator)

School of Informatics

Status	Finished
Effective start/end date	1/04/13 → 31/03/17

Funding

EU government bodies: £129,708.00
EU government bodies: £777,324.00
EU government bodies: £36,142.00

47 Conference contribution
21 Article
1 Chapter (peer-reviewed)
1 Special issue

Fluid approximation of broadcasting systems
Bortolussi, L., Hillston, J. & Loreti, M., 6 May 2020, In: Theoretical Computer Science. 816, p. 221-248 28 p.
Research output: Contribution to journal › Article › peer-review

Open Access
File
Analysis of spatio-temporal properties of stochastic systems using TSTL
Luisa Vissat, L., Loreti, M., Nenzi, L., Hillston, J. & Marion, G., 13 Dec 2019, In: ACM Transactions on Modeling and Computer Simulation. 29, 4, p. 20:1-20:24 25 p., 20.
Research output: Contribution to journal › Article › peer-review

Open Access
File
Statistical analysis of CARMA models: an advanced tutorial
Galpin, V., Georgoulas, A., Loreti, M. & Vandin, A., Dec 2018, (E-pub ahead of print) 2018 Winter Simulation Conference (WSC). Institute of Electrical and Electronics Engineers, p. 395-409 15 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Open Access
File