DocumentCode
617831
Title
A genetic-evolutionary model to simulate population dynamics in the Calangos game
Author
Izidoro, V.N.L. ; Nunes de Castro, Leandro ; Loula, Angelo Conrado
Author_Institution
Natural Comput. Lab. FCI/PPGEE, Mackenzie Univ., São Paulo, Brazil
fYear
2013
fDate
20-23 June 2013
Firstpage
277
Lastpage
283
Abstract
Calangos is an under development educational game based on the fauna and flora of the desert-like field of the sand dunes in the middle São Francisco River, located within the Caatinga biome in Brazil. One of the player´s goals is to manage the behavior of species of lizards that inhabit this biome, with consequences to their ecology and evolution. For the development of the game a genetic-evolutionary model, embedded in a simulator, is proposed. This model will be used to simulate predator-prey dynamics based on the Evolutionary Biology and Ecology literature. The objective of this paper is to introduce the genetic-evolutionary model embedded in the simulator and present some key experimental findings. It will be shown that under certain environmental conditions lizard populations are only able to survive if allowed to evolve. The results will also show the main causes of death (malnutrition, dehydration, predation or aging), the diet preferences (vegetables or insects) of lizards and their relationship with specific environmental conditions.
Keywords
ecology; evolution (biological); evolutionary computation; game theory; predator-prey systems; Caatinga biome; Calangos game; Sao Francisco River; desert-like field fauna; desert-like field flora; evolutionary biology literature; evolutionary ecology literature; genetic-evolutionary model; lizard diet preferences; lizard specy behavior management; population dynamics simulation; predator-prey dynamic simulation; sand dunes; under development educational game; Biological system modeling; Evolution (biology); Games; Genetics; Insects; Sociology; Statistics; Evolutionary Computation; Lizards; Natural Selection; Population Dynamics;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation (CEC), 2013 IEEE Congress on
Conference_Location
Cancun
Print_ISBN
978-1-4799-0453-2
Electronic_ISBN
978-1-4799-0452-5
Type
conf
DOI
10.1109/CEC.2013.6557581
Filename
6557581
Link To Document