On the Collision-Propagation and Gather-Update Formulations of a Cellular Automata Rule

Chopard, Bastien; Falcone, Jean-Luc; Razakanirina, Ranaivo Mahaleo; Hoekstra, Alfons G.; Caiazzo, Alfonso

doi:10.1007/978-3-540-79992-4_19

Cited by 7 publications

(2 citation statements)

References 8 publications

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“…Lattice-gas cellular automata (LGCA) are a particular case of CA, historically designed to simulate fluid dynamics, used in numerous applications from crowds dynamics [17] to cellular motion [8]. They rely on the representation of particles that travel through the lattice according to the successive application of the interaction step (I) -which reorganises particles within cells -and the propagation step (P) -which displaces particles towards the corresponding neighbours.…”

Section: Introductionmentioning

confidence: 99%

First steps on asynchronous lattice-gas models with an application to a swarming rule

2013

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Lattice-gas cellular automata are often considered as a particular case of cellular automata in which additional constraints apply, such as conservation of particles or spatial exclusion. But what about their updating? How to deal with non-perfect synchrony? Novel definitions of asynchronism are proposed that respect the specific hypotheses of lattice-gas models. These definitions are then applied to a swarming rule in order to explore the robustness of the global emergent behaviour. In particular, we compare the synchronous and asynchronous case, and remark that antialignment of particles is no longer observed when a small critical amount of asynchronism is added.

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Section: Introductionmentioning

confidence: 99%

First steps on asynchronous lattice-gas models with an application to a swarming rule

2013

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“…The collision-propagation terminology is borrowed from the lattice gas automata framework (for example, see [4]), and has recently been shown to be equivalent to other update paradigms [5].…”

Section: Complex Automata Modellingmentioning

confidence: 99%

A Complex Automata approach for in-stent restenosis: Two-dimensional multiscale modelling and simulations

Caiazzo

Evans

Falcone

et al. 2011

Journal of Computational Science

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Sea-Scale Agent-Based Simulator of Solea solea in the Adriatic Sea

Coria

Tesei

Scarcella

et al. 2015

Software Engineering and Formal Methods

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DISPAS is an agent-based simulator for fish stock assessment developed as a decision making support for the sustainable management of fishery. In this work we enlarge the underlying model of DISPAS allowing it to model and simulate a multi-scale scenario. We retain the currently available spatial scale, able to represent a limited average region of the sea, and we introduce a new spatial macro-scale, able to represent the whole sea. At the macro-scale a single agent represents an area of five square nautical miles and manages groups of fish in different age classes. The interactions among the macro agents permit the exchange of individuals of each class among neighbor areas. A case study regarding the Solea solea (Linnaeus, 1758; Soleidae) stock of the northern Adriatic Sea is used to show the intended approach, taking into account the available data, coming from fishery independent scientific surveys

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On the Collision-Propagation and Gather-Update Formulations of a Cellular Automata Rule

Cited by 7 publications

References 8 publications

First steps on asynchronous lattice-gas models with an application to a swarming rule

First steps on asynchronous lattice-gas models with an application to a swarming rule

A Complex Automata approach for in-stent restenosis: Two-dimensional multiscale modelling and simulations

Sea-Scale Agent-Based Simulator of Solea solea in the Adriatic Sea

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