Publications by authors named "Dan Ladley"
Article Synopsis
- The paper differentiates between algorithm performance (how well the algorithm works in practice) and algorithm competence (the range of problems it can theoretically address).
- The authors analyze a bio-inspired collective construction algorithm based on paper wasp behavior, highlighting its theoretical capabilities while pointing out its practical performance limitations.
- They enhance this algorithm by incorporating pheromone-mediated behavior from termites, leading to a new hybrid called the waspmite algorithm that maintains generality but shows better performance and scalability.
In previous models of the building behaviour of termites, physical and logistic constraints that limit the movement of termites and pheromones have been neglected. Here, we present an individual-based model of termite construction that includes idealized constraints on the diffusion of pheromones, the movement of termites, and the integrity of the architecture that they construct. The model allows us to explore the extent to which the results of previous idealized models (typically realised in one or two dimensions via a set of coupled partial differential equations) generalize to a physical, 3-D environment.
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