Modeling shortest path selection of the ant Linepithema humile using psychophysical theory and realistic parameter values

Thienen, Wolfhard von; Metzler, Dirk; Witte, Volker

doi:10.1016/j.jtbi.2015.02.030

Cited by 6 publications

(3 citation statements)

References 36 publications

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“…Our results support the hypothesis that the male African elephant olfactory system is extensively used during travel on pathways, but also that male African elephants may monitor urine deposits of conspecifics on pathways, potentially discerning an indication of the ages' of males they can expect to encounter. We provide support for the hypothesis that a positive feedback loop establishes in the long-term maintenance of elephant pathways, whereby in utilising public information in following the olfactory trails of other elephants, travellers themselves deposit urine and dung cues that enhance pathway persistence (see pheromone trail deposition in foraging ants; Wendt et al, 2020;von Thienen et al, 2015;Frizzi et al, 2018).…”

Section: Discussionsupporting

confidence: 56%

Field evidence supporting monitoring of chemical information on pathways by male African elephants

Allen

Brent

Motsentwa³

et al. 2021

Animal Behaviour

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Section: Discussionsupporting

confidence: 56%

Field evidence supporting monitoring of chemical information on pathways by male African elephants

Allen

Brent

Motsentwa³

et al. 2021

Animal Behaviour

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“…Both trail lay rates and pheromone deposition intensity increase as the perceived value of the resources increases [6][7][8]. Stronger trails result in more ants being recruited from the nest and a higher proportion of ants following the trail at a bifurcation [5,9,10]. This simple system results in a positive feedback mechanism, leading to colonies often collectively focusing their foraging effort on the most valuable resources [4,[11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Negative feedback: ants choose unoccupied over occupied food sources and lay more pheromone to them

Wendt

Kleinhoelting

Czaczkes

2020

J. R. Soc. Interface.

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In order to make effective collective decisions, ants lay pheromone trails to lead nest-mates to acceptable food sources. The strength of a trail informs other ants about the quality of a food source, allowing colonies to exploit the most profitable resources. However, recruiting too many ants to a single food source can lead to over-exploitation, queuing, and thus decreased food intake for the colony. The nonlinear nature of pheromonal recruitment can also lead colonies to become trapped in suboptimal decisions, if the environment changes. Negative feedback systems can ameliorate these problems. We investigated a potential source of negative feedback: whether the presence of nest-mates makes food sources more or less attractive. Lasius niger workers were trained to food sources of identical quality, scented with different odours. Ants fed alone at one odour. At the other odour ants fed either with other feeding nest-mates, or with dummy ants (black surface lipid-coated glass beads). Ants tended to avoid food sources at which other nest-mates were present. They also deposited less pheromone to occupied food sources, suggesting an active avoidance behaviour, and potentiating negative feedback. This effect may prevent crowding at a single food source when other profitable food sources are available elsewhere, leading to a higher collective food intake. It could also potentially protect colonies from becoming trapped in local feeding optima. However, ants did not avoid the food associated with dummy ants, suggesting that surface lipids and static visual cues alone may not be sufficient for nest-mate recognition in this context.

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“…Multi-objective path finding (MOPF) models are successfully used in practical applications for many areas, such as communication, wireless sensor networks, 1 engineering, 2 and psychiatry. 3 It is at the heart of many optimization problems, which have intrigued researchers to develop realistic models. 4 Early studies have focused on treating the road network as a deterministic network, in which the cost of each link is assumed as constant.…”

Section: Introductionmentioning

confidence: 99%

Multi-objective path finding in stochastic networks using a biogeography-based optimization method

Wang

Yang

et al. 2016

SIMULATION

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Multi-objective path finding (MOPF) problems are widely applied in both academic and industrial areas. In order to deal with the MOPF problem more effectively, we propose a novel model that can cope with both deterministic and random variables. For the experiment, we compared five intelligence-optimization algorithms: the genetic algorithm, artificial bee colony (ABC), ant colony optimization (ACO), biogeography-based optimization (BBO), and particle swarm optimization (PSO). After a 100-run comparison, we found the BBO is superior to the other four algorithms with regard to success rate. Therefore, the BBO is effective in MOPF problems.

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Modeling shortest path selection of the ant Linepithema humile using psychophysical theory and realistic parameter values

Cited by 6 publications

References 36 publications

Field evidence supporting monitoring of chemical information on pathways by male African elephants

Field evidence supporting monitoring of chemical information on pathways by male African elephants

Negative feedback: ants choose unoccupied over occupied food sources and lay more pheromone to them

Multi-objective path finding in stochastic networks using a biogeography-based optimization method

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