Projects per year
Abstract
In this paper, we present Three-Valued Spatio-Temporal Logic (TSTL), which enriches the available spatiotemporal analysis of properties expressed in Signal Spatio-Temporal Logic (SSTL), to give further insight into the dynamic behaviour of systems. Our novel analysis starts from the estimation of satisfaction probabilities of given SSTL properties and allows the analysis of their temporal and spatial evolution. Moreover, in our verification procedure, we use a three-valued approach to include the intrinsic and unavoidable uncertainty related to the simulation-based statistical evaluation of the estimates; this can be also used to assess the appropriate number of simulations to use depending on the analysis needs. We present the syntax and threevalued semantics of TSTL and specific extended monitoring algorithms to check the validity of TSTL
formulas. We introduce a reliability requirement for TSTL monitoring and an automatic procedure to verify it. Two case studies demonstrate how TSTL broadens the application of spatio-temporal logics in realistic scenarios, enabling analysis of threat monitoring and privacy preservation based on spatial stochastic population models.
formulas. We introduce a reliability requirement for TSTL monitoring and an automatic procedure to verify it. Two case studies demonstrate how TSTL broadens the application of spatio-temporal logics in realistic scenarios, enabling analysis of threat monitoring and privacy preservation based on spatial stochastic population models.
Original language | English |
---|---|
Article number | 20 |
Pages (from-to) | 20:1-20:24 |
Number of pages | 25 |
Journal | ACM Transactions on Modeling and Computer Simulation |
Volume | 29 |
Issue number | 4 |
DOIs | |
Publication status | Published - 13 Dec 2019 |
Keywords / Materials (for Non-textual outputs)
- Theory of computation
- Verification by model checking
- Spatio-temporal logics
- multi-valued logics
- stochastic spatial populationmodels
- Statistical Model Checking
Fingerprint
Dive into the research topics of 'Analysis of spatio-temporal properties of stochastic systems using TSTL'. Together they form a unique fingerprint.Projects
- 1 Finished
-
QUANTICOL - A Quantitative Approach to Management and Design of Collective and Adaptive Behaviours (RTD)
Hillston, J. (Principal Investigator) & Gilmore, S. (Co-investigator)
1/04/13 → 31/03/17
Project: Research
Profiles
-
Jane Hillston
- School of Informatics - Personal Chair in Quantitative Modelling
- Laboratory for Foundations of Computer Science
- Data Science and Artificial Intelligence
Person: Academic: Research Active