Filling up the tree : more complex behavior , better Artificial Life ?

Filling up the tree: considering the self-organization of avian roosting behavior

In this paper, models for understanding bird roosting will be considered for purposes of developing better Artificial Life models of complex behavior. Roosting involves multiple flocks of birds picking a single tree limb to rest on for the night, and can be considered an iterative, timedependent process that unfolds over a 45-minute interval roughly corresponding to twilight. Two models will be...

پایش سلامت در حیات مصنوعی در حوزه های بیماری های واگیر و آلودگی

Introductions :Inherent human society and its complexities, in addition the possibility of trial in more social and health sciences, caused using of computerized simulations and artificial models in terms of necessary views that are exist in these types of sciences. to design these artificial models based on real environment and evaluation and recognition and then recalling the results, and usi...

Filling up the tree: mechanisms and simulation models behind a complex behavior

BQIABC: A new Quantum-Inspired Artificial Bee Colony Algorithm for Binary Optimization Problems

Artificial bee colony (ABC) algorithm is a swarm intelligence optimization algorithm inspired by the intelligent behavior of honey bees when searching for food sources. The various versions of the ABC algorithm have been widely used to solve continuous and discrete optimization problems in different fields. In this paper a new binary version of the ABC algorithm inspired by quantum computing, c...

Comparison of gestational diabetes prediction with artificial neural network and decision tree models

Background: Gestational diabetes mellitus (GDM) is one of the most common metabolic disorders in pregnancy, which is associated with serious complications. In the event of early diagnosis of this disease, some of the maternal and fetal complications can be prevented. The aim of this study was to early predict gestational diabetes mellitus by two statistical models including artificial neural ne...