Moving targets: collective decisions and flexible choices in house-hunting ants

Many decisions involve a trade-off between commitment and flexibility. We show here that the collective decisions ants make over new nest sites are sometimes sufficiently flexible that the ants can change targets even after an emigration has begun. Our findings suggest that, in this context, the ants’ procedures are such that they can sometimes avoid ‘negative information cascades’ which might lock them into a poor choice. The ants are more responsive to belated good news of a higher quality nest than they are when the nest they had initially chosen degraded to become worse than an alternative. Our study confirms, in a new way, that ant colonies can be very powerful “search engines”.     

Turing learning: a metric-free approach to inferring behavior and its application to swarms

We propose Turing Learning, a novel system identification method for inferring the behavior of natural or artificial systems. Turing Learning simultaneously optimizes two populations of computer programs, one representing models of the behavior of the system under investigation, and the other representing classifiers. By observing the behavior of the system as well as the behaviors produced by the models, two sets of data samples are obtained. The classifiers are rewarded for discriminating between these two sets, that is, for correctly categorizing data samples as either genuine or counterfeit. Conversely, the models are rewarded for ‘tricking’ the classifiers into categorizing their data samples as genuine. Unlike other methods for system identification, Turing Learning does not require predefined metrics to quantify the difference between the system and its models. We present two case studies with swarms of simulated robots and prove that the underlying behaviors cannot be inferred by a metric-based system identification method. By contrast, Turing Learning infers the behaviors with high accuracy. It also produces a useful by-product—the classifiers—that can be used to detect abnormal behavior in the swarm. Moreover, we show that Turing Learning also successfully infers the behavior of physical robot swarms. The results show that collective behaviors can be directly inferred from motion trajectories of individuals in the swarm, which may have significant implications for the study of animal collectives. Furthermore, Turing Learning could prove useful whenever a behavior is not easily characterizable using metrics, making it suitable for a wide range of applications.     

A Sensitive Hydroosmotic Toad Bladder Assay : Affinity and intrinsic activity of neurohypophyseal peptides

A sensitive and precise method for assaying the water permeability response evoked by neurohypophyseal hormones and their synthetic analogues on the isolated urinary bladder of the toad (Bufo marinus L.) is described. The method permits detection of 8-arginine-vasotocin at concentrations as low as 10^-12 M. This sensitivity, not achieved heretofore with this tissue, results largely from minimizing interference of inhibitory substances by means of an "in vitro circulation assembly." The precision of the method derives from a direct comparison between the cumulative dose-response curve of an agonist of unknown potency acting on one hemibladder and that of a reference compound acting on the contralateral hemibladder. Crystalline deamino-oxytocin is used as the reference standard in this assay. The intrinsic activity of 2-(O-methyltyrosine)-oxytocin, as defined by the maximal response, is 12% lower than that of deamino-oxytocin. All other hormonal peptides investigated have the same intrinsic activity as deamino-oxytocin, even 5-valine-oxytocin, in spite of its extremely low affinity. A comparison of the potencies of 8-arginine-vasotocin vs. 8-arginine-vasopressin, 8-ornithine-vasotocin vs. 8-ornithine-vasopressin, 8-alanine-oxytocin vs. 8-alanine-oxypressin, and deamino-8-alanine-oxytocin vs. deamino-8-alanine-oxypressin suggests that an isoleucine residue in position 3 imparts a higher specificity for binding of the hormonal peptide molecule to the bladder receptor than a phenylalanine residue in this locus.     

Locomotor activity ofTrichogramma brassicae (Hymenoptera) under the influence of high-temperature shocks

In order to assess the effects of high temperatures prevailing during the releases ofTrichogramma brassicae Bezdenko parasitoid used against the European corn borerOstrinia nubilalis Hübner, we exposed wasps in the white pupa stage (WP) to single or double shocks (at 35 or 44°C for 6 h) in the laboratory. The locomotor activity of adults in the presence ofO. nubilalis egg masses is greater than in pure air. Single or double shocks at 35°C have little effect on the females. On the contrary, wasps exposed to single or double shocks at 44°C had a lower motility than control wasps.