A model of collective nectar source selection by honey bees: Self-organization through simple rules

1991 ◽  
Vol 149 (4) ◽  
pp. 547-571 ◽  
Author(s):  
Scott Camazine ◽  
James Sneyd
Keyword(s):  
Honey Bees ◽  
Self Organization ◽  
Source Selection ◽  
Simple Rules ◽  
Nectar Source

scholarly journals Classification and Evolutionary Trends of Icosahedral Viral Capsids

2008 ◽  
Vol 9 (3-4) ◽  
pp. 175-181 ◽  
Author(s):  
Richard Kerner
Keyword(s):  
Building Blocks ◽  
The Self ◽  
Self Organization ◽  
Evolutionary Trends ◽  
Viral Capsids ◽  
Exact Number ◽  
Evolution Of Viruses ◽  
Simple Rules ◽  
Elementary Building

A classification of icosahedral viral capsids is proposed. We show how the self-organization of capsids during their formation implies a definite composition of their elementary building blocks. The exact number of hexamers with three different admissible symmetries is related to capsids' sizes, labelled by theirT-numbers. Simple rules determining these numbers for each value ofTare deduced and certain consequences concerning the probabilities of mutations and evolution of viruses are discussed.

Reappraisal of the Somatosensory Homunculus and Its Discontinuities

2011 ◽  
Vol 23 (12) ◽  
pp. 3001-3015 ◽  
Author(s):  
Pasha Parpia
Keyword(s):  
The Body ◽  
Sensory Function ◽  
Self Organization ◽  
Face Representation ◽  
Lower Trunk ◽  
Developmental Factors ◽  
Simple Rules ◽  
The Face ◽  
Kohonen Net ◽  
Fetal Position

Neuroscience folklore has it that somatotopy in human primary somatosensory cortex (SI) has two significant discontinuities: the hands and face map onto adjacent regions in SI, as do the feet and genitalia. It has been proposed that these conjunctions in SI result from coincident sources of stimulation in the fetal position, where the hands frequently touch the face, and the feet the genitalia. Computer modeling using a Hebbian variant of the self-organizing Kohonen net is consistent with this proposal. However, recent work reveals that the genital representation in SI for cutaneous sensations (as opposed to tumescence) is continuous with that of the lower trunk and thigh. This result, in conjunction with reports of separate face innervation and its earlier onset of sensory function, compared to that of the rest of the body, allows a reappraisal of homuncular organization. It is proposed that the somatosensory homunculus comprises two distinct somatotopic regions: the face representation and that of the rest of the body. Principles of self-organization do not account satisfactorily for the overall homuncular map. These results may serve to alert computational modelers that intrinsic developmental factors can override simple rules of plasticity.

OVERVIEW OF THE METHODS FOR SELF-ORGANIZATION IN SWARM ROBOTICS

2020 ◽  
Vol 70 (2) ◽  
Author(s):  
Aleksandar Marinchev
Keyword(s):  
Swarm Robotics ◽  
Self Organization ◽  
Common Phenomenon ◽  
Natural Systems ◽  
Simple Rules ◽  
Swarm Coordination

Self-organization is a common phenomenon observed in many natural and artificial systems. The overall coordinated behavior of the system is due to simple rules for interaction between its components. Thanks to these properties, self-organization plays a key role in swarm robotics, as it allows swarm coordination with minimal complexity of individual robots. This paper reviews the methods and tools for self-organization that are used in swarm robotics or are found in natural systems.

scholarly journals Morphognostic Honey Bees Communicating Nectar Location Through Dance Movements

2020 ◽  
Author(s):  
Thomas E. Portegys
Keyword(s):  
Honey Bees ◽  
Learning Algorithm ◽  
External Input ◽  
Motor Responses ◽  
Sensory Inputs ◽  
Flower Nectar ◽  
Dance Movements ◽  
Bee Foraging ◽  
Nectar Source ◽  
Model Features

AbstractHoney bees are social insects that forage for flower nectar cooperatively. When an individual forager discovers a flower patch rich in nectar, it returns to the hive and performs a “dance” in the vicinity of other bees that consists of movements communicating the direction and distance to the nectar source. The bees that receive this information then fly to the location of the nectar to retrieve it, thus cooperatively exploiting the environment. This project simulates this behavior in a cellular automaton using the Morphognosis model. The model features hierarchical spatial and temporal contexts that output motor responses from sensory inputs. Given a set of bee foraging and dancing exemplars, and exposing only the external input-output of these behaviors to the Morphognosis learning algorithm, a hive of artificial bees can be generated that forage as their biological counterparts do.

scholarly journals Flow-mediated self-organization of ventilation in honeybee nests

2017 ◽  
Author(s):  
Jacob M. Peters ◽  
Orit Peleg ◽  
L. Mahadevan
Keyword(s):  
Air Temperature ◽  
Honey Bees ◽  
Temporal Stability ◽  
Self Organization ◽  
Air Velocity ◽  
Mediated Communication ◽  
Fluctuating Environments ◽  
Large Nest ◽  
Single Opening ◽  
Spatio Temporal

European honey bees (Apis mellifera) live in large congested nest cavities with a single opening that limits passive ventilation. These nests are actively ventilated by individual bees which fan their wings at the nest entrance when the local air temperature exceeds a threshold. Here we show that colonies with relatively large nest entrances use an emergent ventilation strategy where fanning bees self-organize to form fanning groups, separating regions of continuous inflow and outflow. The observed spatio-temporal patterns correlate the air velocity and air temperature along the entrances to the distribution of fanning bees. A mathematical model that couples these variables to known fanning behavior of individuals recapitulates their collective dynamics. Additionally, the model makes predictions about the temporal stability of the fanning group as a function of the temperature difference between the environment and the nest. Consistent with these predictions, we observe that the fanning groups drift, cling to the entrance boundaries, break-up and reform as the ambient temperature varies over a period of days. Overall, our study shows how honeybees use flow-mediated communication to self-organize into a steady-state in fluctuating environments.

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