@inproceedings { , title = {Pure Functional Epidemics: An Agent-Based Approach}, abstract = {Agent-Based Simulation (ABS) is a methodology in which a system is simulated in a bottom-up approach by modelling the micro interactions of its constituting parts, called agents, out of which the global system behaviour emerges. So far mainly object-oriented techniques and languages have been used in ABS. Using the SIR model of epidemiology, which simulates the spreading of an infectious disease through a population, we demonstrate how to use pure Functional Reactive Programming to implement ABS. With our approach we can guarantee the reproducibility of the simulation at compile time and rule out specific classes of run-time bugs, something that is not possible with traditional object-oriented languages. Also, we found that the representation in a purely functional format is conceptually quite elegant and opens the way to formally reason about ABS.}, conference = {30th Symposium on Implementation and Application of Functional Languages}, doi = {10.1145/3310232.3310372}, isbn = {978-1-4503-7143-8}, organization = {Lowell, Massachusetts, USA}, pages = {1-12}, publicationstatus = {Published}, publisher = {Association for Computing Machinery (ACM)}, url = {https://nottingham-repository.worktribe.com/output/1041336}, keyword = {Functional Reactive Programming, Monadic Stream Functions, Agent- Based Simulation}, year = {2018}, author = {Thaler, Jonathan and Altenkirch, Thorsten and Siebers, Peer-Olaf} }