Search
Evolving gene regulatory networks controlling foraging strategies of prey and predators in an artificial ecosystem
Abstract
Co-evolution of predators and prey is an example of an evolutionary arms race, leading in nature to selective pressures in positive feedback. We introduce here an artificial life ecosystem in which such positive feedback can emerge. This ecosystem consists of a 2-dimensional liquid environment and animats controlled by evolving artificial gene regulatory networks encoded in linear genomes. The genes in the genome encode chemical products which regulate other genes, sense the environment (the scent of food, prey and predators), control the animat’s movement, and its foraging strategy. The animats can switch multiple times in their life between two foraging strategies (with different metabolic costs): the predators can derive food from the prey, the prey just from food that diffuses in the environment. When an animat consumes enough food (or prey), it produces an offspring with a mutated genome. Mutations introduce variation into the population, and this diversity together with selective pressures leads to the evolution of control for diverse foraging strategies in an ecosystem that can support hundreds of individuals.
Authors (3)
Cite as
Full text
full text is not available in portal
Keywords
Details
- Category:
- Conference activity
- Type:
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Title of issue:
- Advances in Artificial Life ECAL 2013 : Proceedings of the twelth European Conference on the Synthesis and Simulation of Living Systems strony 531 - 537
- Language:
- English
- Publication year:
- 2013
- Bibliographic description:
- Erdei J., Joachimczak M., Wróbel B.: Evolving gene regulatory networks controlling foraging strategies of prey and predators in an artificial ecosystem// Advances in Artificial Life ECAL 2013 : Proceedings of the twelth European Conference on the Synthesis and Simulation of Living Systems/ ed. Pietro Lio, Orazio Miglino, Giuseppe Nicosia, Stefano Nolfi, Mario Pavone : MIT Press, 2013, s.531-537
- Verified by:
- Gdańsk University of Technology
seen 116 times