Collective patterns and decision-making

Deneubourg, Jean‐Louis; Goss, Simon

doi:10.1080/08927014.1989.9525500

Cited by 571 publications

(293 citation statements)

References 30 publications

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“…Several different individual-based models have been proposed, which reproduce certain types of collective behavior in animal groups (e.g., see Aoki, 1982;Reynolds, 1987;Deneubourg and Goss, 1989). Self-organization emerges also in a wide spectrum of physical and chemical systems, some of which (e.g., crystals and ferromagnetic materials) exhibit apparent similarities with emergent patterns observed in animal groups.…”

Section: Introductionmentioning

confidence: 99%

Heterogeneous animal group models and their group-level alignment dynamics: An equation-free approach

Moon¹,

Nabet²,

Leonard³

et al. 2007

Journal of Theoretical Biology

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We study coarse-grained (group-level) alignment dynamics of individual-based animal group models for heterogeneous populations consisting of informed (on preferred directions) and uninformed individuals. The orientation of each individual is characterized by an angle, whose dynamics are nonlinearly coupled with those of all the other individuals, with an explicit dependence on the difference between the individual's orientation and the instantaneous average direction. Choosing convenient coarse-grained variables (suggested by uncertainty quantification methods) that account for rapidly developing correlations during initial transients, we perform efficient computations of coarse-grained steady states and their bifurcation analysis. We circumvent the derivation of coarsegrained governing equations, following an equation-free computational approach.

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Section: Introductionmentioning

confidence: 99%

Heterogeneous animal group models and their group-level alignment dynamics: An equation-free approach

Moon¹,

Nabet²,

Leonard³

et al. 2007

Journal of Theoretical Biology

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show abstract

“…Deneubourg et al, 1986Deneubourg et al, , 1990Deneubourg and Goss, 1989) have investigated models similar to Equation A8 but that have unstable internal equilibria and simultaneously stable boundary equilibria. In these models, a trail's attractiveness to potential recruits increases faster than linearly with the pheromonal concentration on the trail.…”

Section: Alternative 3: Foraging Trails With Non-linear Recruitmentmentioning

confidence: 99%

“…Most of this work explores how individuals are allocated to different components of a single task, including the allocation of foragers to food sources that differ in quality (Seeley et al, 1991) or to food sources in different locations (Deneubourg et al, 1986;Pasteels et al, 1987;Deneubourg and Goss, 1989) or the allocation of workers to various aspects of nest construction (Jeanne, 1986). Other studies model how individuals are allocated to a variety of different tasks .…”

Section: -7653mentioning

confidence: 99%

Effects of social group size on information transfer and task allocation

1996

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SummarySocial animals exchange information during social interaction. The rate of interaction and, hence, the rate of information exchange, typically changes with density and density may be affected by the size of the social group. We investigate models in which each individual may be engaged in one of several tasks. For example, the different tasks could represent alternative foraging locations exploited by an ant colony. An individual's decision about which task to pursue depends both on environmental stimuli and on interactions among individuals. We examine how group size affects the allocation of individuals among the various tasks. Analysis of the models shows the following. (1) Simple interactions among individuals with limited ability to process information can lead to group behaviour that closely approximates the predictions of evolutionary optimality models, (2) Because per capita rates of social interaction may increase with group size, larger groups may be more efficient than smaller ones at tracking a changing environment, (3) Group behaviour is determined both by each individual's interaction with environmental stimuli and by social exchange of information. To keep these processes in balance across a range of group sizes, organisms are predicted to regulate per capita rates of social interaction and (4) Stochastic models show, at least in some cases, that the results described here occur even in small groups of approximately ten individuals.

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“…Each robot unit could be simple and inefficient in itself, but a group of robots could exhibit complex and efficient behaviors. Cooperation could be achieved without any direct communication among robots (Grassé, 1959;Deneubourg and Goss, 1989). Kube and Zhang (1993a,b) studied a distributed approach to let a group of simple robots find and push a prey towards a light.…”

Section: Introductionmentioning

confidence: 99%

Cooperative Transport of Objects of Different Shapes and Sizes

Groß

Dorigo

2004

Ant Colony Optimization and Swarm Intelligence

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Abstract. This paper addresses the design of control policies for groups of up to 16 simple autonomous mobile robots (called s-bots) for the cooperative transport of heavy objects of different shapes and sizes. The s-bots are capable of establishing physical connections with each other and with the object (called prey). We want the s-bots to self-assemble into structures which pull or push the prey towards a target location. The s-bots are controlled by neural networks that are shaped by artificial evolution. The evolved controllers perform quite well, independently of the shape and size of the prey, and allow the group to transport the prey towards a moving target. Additionally, the controllers evolved for a relatively small group can be applied to larger groups, making possible the transport of heavier prey. Experiments are carried out using a physics simulator, which provides a realistic simulation of real robots, which are currently under construction.

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Collective patterns and decision-making

Cited by 571 publications

References 30 publications

Heterogeneous animal group models and their group-level alignment dynamics: An equation-free approach

Heterogeneous animal group models and their group-level alignment dynamics: An equation-free approach

Effects of social group size on information transfer and task allocation

Cooperative Transport of Objects of Different Shapes and Sizes

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