Optimal traffic organization in ants under crowded conditions

Optimal Traffic Organisation in Ants under Crowded 1 Conditions

Ants under crowded conditions consume more energy.

Social insects live in colonies consisting of many workers, where worker interactions play an important role in regulating colony activities. Workers interact within the social space of the nest; therefore, constraints on nest space may alter worker behaviour and affect colony activities and energetics. Here we show in the ant Temnothorax rugatulus that changes in nest space have a significant ...

Analytical and Numerical Investigation of Ant Behavior under Crowded Conditions

Swarm intelligence is widely recognized as a powerful paradigm of self-organized optimization, with numerous examples of successful applications in distributed artificial intelligence. However, the role of physical interactions in the organization of traffic flows in ants under crowded conditions has only studied very recently. The related results suggest new ways of congestion control and simp...

Detecting distortions of peripherally presented letter stimuli under crowded conditions.

When visual features in the periphery are close together they become difficult to recognize: something is present but it is unclear what. This is called "crowding". Here we investigated sensitivity to features in highly familiar shapes (letters) by applying spatial distortions. In Experiment 1, observers detected which of four peripherally presented (8 deg of retinal eccentricity) target letter...

Optimal Estimation under Nonstandard Conditions

We analyze optimality properties of maximum likelihood (ML) and other estimators when the problem does not necessarily fall within the locally asymptotically normal (LAN) class, therefore covering cases that are excluded from conventional LAN theory such as unit root nonstationary time series. The classical Hájek–Le Camoptimality theory is adapted to cover this situation.We show that the expect...