Intuitive Modelling and Formal Analysis of Collective Behaviour in Foraging Ants
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Date
2024
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Abstract
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
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Keywords
Agent-based models, Collective behaviour, Foraging, Ant colonies, Simulation, Formal verification