Cricketsim: a Genetic and Evolutionary Computer Simulation

Kyle Wagner () and Kerry Shaw ()
Additional contact information
Kerry Shaw: http://www.nbb.cornell.edu/neurobio/Faculty/Shaw/Shaw.html

Journal of Artificial Societies and Social Simulation, 2007, vol. 11, issue 1, 3

Abstract: We present cricketsim, an individual-based simulator of species and community dynamics that allows experimenters to manipulate genetic and evolutionary parameters as well as parameters affecting the simulated environment and its inhabitants. The simulator can model genotypic and phenotypic features of species, such as male signals and female preferences, as well as demographic and fitness-related features. The individual-based simulator creates a lattice (cellular) world in which males and females interact by moving, signaling/responding, and mating. One or more species evolves over simulation time as individuals of a species interact with others during its lifetime, possibly creating new offspring through successful mating. The program's design, parameters, execution and data collection are described, an example experiment is presented, and several applications are discussed.

Keywords: Individual-Based Model; Genetic Algorithms; Communication; Sexual Signaling; Speciation; Evolution; Genetics (search for similar items in EconPapers)
Date: 2007-01-31
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.jasss.org/11/1/3/3.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:jas:jasssj:2007-37-3

Access Statistics for this article

More articles in Journal of Artificial Societies and Social Simulation from Journal of Artificial Societies and Social Simulation
Bibliographic data for series maintained by Francesco Renzini ().