Login | Register

Modeling the Evolution of Mimicry


Modeling the Evolution of Mimicry

Islam, Mohiul (2011) Modeling the Evolution of Mimicry. Masters thesis, Concordia University.

[thumbnail of Islam_MCompSc_S2011.pdf]
Text (application/pdf)
Islam_MCompSc_S2011.pdf - Accepted Version


A novel agent based, artificial life model, for the evolution of mimicry is presented. This model is a predator-prey co-evolution scenario where pattern representation phenotype is simulated with Cellular Automata, while behaviors of pattern recognition is configured with Hopfield Network. A visual three dimensional toroidal cube is used to construct a universe in which agents have complete freedom of mobility, genetic representation of behavior and reproduction capability to evolve new behaviors in successive generations. These agents are classified into categories of predator and prey species. Genome of prey species control their mobility and palatability, while 2D Cellular Automata (CA) is used to represent a pattern, where the rule to generate the CA is also genetically represented. Through evolution, successive generations of prey species develop new patterns to represent them both visually and to the predators. Predators are agents with the primary purpose of providing selection pressure for the evolution of mimicry. They are equipped with Hopfield Network memory to recognize new CA pattern and make intelligent decisions to consume the prey based on their level of palatability. Using the above construction of ideas, successful emulation of the natural process of mimicry is achieved. Also complex behavior pattern of Batesian and Mullerian mimicry is simulated and studied.

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Computer Science and Software Engineering
Item Type:Thesis (Masters)
Authors:Islam, Mohiul
Institution:Concordia University
Degree Name:M. Comp. Sc.
Program:Computer Science
Date:17 January 2011
Thesis Supervisor(s):Grogono, Peter
ID Code:7052
Deposited By: MOHIUL ISLAM
Deposited On:09 Jun 2011 19:48
Last Modified:18 Jan 2018 17:30
All items in Spectrum are protected by copyright, with all rights reserved. The use of items is governed by Spectrum's terms of access.

Repository Staff Only: item control page

Downloads per month over past year

Research related to the current document (at the CORE website)
- Research related to the current document (at the CORE website)
Back to top Back to top