@inbook{05d2ff6d41004e72bb6c3f628cfb3bb8,
title = "Verification and validation of agent-based simulations using approximate model checking",
abstract = "This paper focusses on the usefulness of approximate probabilistic model checking for the internal and external validation of large-scale agent-based simulations. We describe the translation of typical validation criteria into a variant of linear time logic. We further present a prototypical version of a highly customisable approximate model checker which we used in a range of experiments to verify properties of large scale models whose complexity prevents them from being amenable to conventional explicit or symbolic model checking. ",
keywords = "Agent-based simulation, Model checking, Validation, Verification",
author = "Benjamin Herd and Simon Miles and Peter McBurney and Michael Luck",
year = "2014",
month = apr,
day = "1",
doi = "10.1007/978-3-642-54783-6_4",
language = "English",
isbn = "978-3-642-54782-9",
volume = "8235 LNAI",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer-Verlag Berlin Heidelberg",
pages = "53--70",
editor = "Alam, {Shah Jamal} and Parunak, {H Van Dyke }",
booktitle = "Multi-Agent-Based Simulation XIV",
note = "14th International Workshop on Multi-Agent-Based Simulation, MABS 2013 ; Conference date: 06-05-2013 Through 07-05-2013",
}