Feen, L. van der (2005) Co-evolution of song pattern and song preference on a cricket model. Master's Thesis / Essay, Artificial Intelligence.
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Abstract
In understanding the behaviour of animals and humans, insects are a good starting point.The behaviour of insects is complex, but their brains are simple. It is often believed that understanding an insect brain is an important step in the process of understanding the human brain. At the Institute of Perception, Action and Behaviour in Edinburgh, where I conducted my research, the auditory and motor system of a cricket has been modelled. The cricket behaviour that is simulated at the IPAB is phonotaxis, the behaviour by which a female cricket localizes a male cricket by its song. Female crickets only respond to the song of their conspecific male. Hundreds of different species of crickets exist all around the world and each species has its own specific song. These different species and their songs have evolved over time. In this research project I have tried to simulate this process of speciation. I implemented a genetic algorithm to co-evolve the male song patterns and the female song preference. I combined my netic algorithm with the existing model and conducted some evolutionary experiments.
Item Type: | Thesis (Master's Thesis / Essay) |
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Degree programme: | Artificial Intelligence |
Thesis type: | Master's Thesis / Essay |
Language: | English |
Date Deposited: | 15 Feb 2018 07:30 |
Last Modified: | 15 Feb 2018 07:30 |
URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/9004 |
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