Intuitive Modelling and Formal Analysis of Collective Behaviour in Foraging Ants
Paper in proceeding, 2023

We demonstrate a novel methodology that integrates intuitive modelling, simulation, and formal verification of collective behaviour in biological systems. To that end, we consider the case of a colony of foraging ants, where, for the combined effect of known biological mechanisms such as stigmergic interaction, pheromone release, and path integration, the ants will progressively work out the shortest path to move back and forth between their nest and a hypothetical food repository. Starting from an informal description in natural language, we show how to devise intuitive specifications for such scenario in a formal language. We then make use of a prototype software tool to formally assess whether such specifications would indeed replicate the expected collective behaviour of the colony as a whole.

Author

Rocco De Nicola

IMT School for Advanced Studies

Luca Di Stefano

Chalmers, Computer Science and Engineering (Chalmers), Formal methods

Omar Inverso

Gran Sasso Science Institute (GSSI)

Serenella Valiani

IMT School for Advanced Studies

International Conference on Systems Biology, ISB

2325-0704 (ISSN)

Vol. 14137 LNBI 44-61
978-3-031-42696-4 (ISBN)

Proceedings of the 21st International Conference on Computational Methods in Systems Biology, CMSB 2023
Luxembourg City, Luxembourg,

Subject Categories (SSIF 2025)

Computer Sciences

Zoology

DOI

10.1007/978-3-031-42697-1_4

More information

Latest update

11/25/2025