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Evolution of Artificial Brains in Simulated AnimalBehaviour
KTH, School of Computer Science and Communication (CSC).
KTH, School of Computer Science and Communication (CSC).
2013 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

In this report we simulate artificial intelligence in animals

using genetic algorithms. In similar models, advanced artificial

neural networks have been used for decision making.

We present two simpler decision-making models. Using two

models based on linear and radial basis functions we find

similar behaviours as those found in other studies, including

food seeking, obstacle avoidance and predator-versus-prey

dynamics.

The results show that both decision-making models are

equally efficient at gathering food and avoiding obstacles.

The models differed in survival strategies when faced with

dangerous obstacles and in a predator-versus-prey situation

the predators based on radial basis functions performed

better.

Some evolutionary phenomena were observed during

the evolution of the animals, including an evolutionary armsrace

between predator and prey. We hoped to find signs of

mimicry as well, but classic mimicry was not found in the

results.

Abstract [sv]

med hjälp av genetiska algoritmer. I liknande modeller har

man tidigare använd avancerade artificiella neuronnät som

beslutsmodeller. I denna rapport presenterar vi två enklare

beslutsmodeller. Med två modeller baserade på linjära och

radiella basfunktioner hittas liknande beteenden som i tidigare

rapporter, inklusive födoletande, hinderundvikande

och predator-bytesdjursdynamik.

Resultaten visar att båda beslutsmodeller är lika effektiva

vid födoletande och hinderundvikande. Modellernas

överlevnadsstrategier skiljer sig när farliga hinder införs och

i predator-bytesdjurssitationer är predatorn baserad på radiella

basfunktioner effektivare.

Vissa evolutionära fenomen observerades under evolutionen

av djuren, inklusive en evolutionär kapplöpning mellan

bytesdjur och predator. Vi hoppades även finna tecken

på mimikry, men klassisk mimikry observerades inte i resultaten

Place, publisher, year, edition, pages
2013.
Series
Kandidatexjobb CSC, K13052
National Category
Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-136174OAI: oai:DiVA.org:kth-136174DiVA: diva2:675605
Educational program
Master of Science in Engineering - Computer Science and Technology
Supervisors
Examiners
Available from: 2013-12-13 Created: 2013-12-04 Last updated: 2013-12-13Bibliographically approved

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Other links

http://www.csc.kth.se/utbildning/kth/kurser/DD143X/dkand13/Group9Petter/report/Bjorn.Tegelund.Johan.Wikstrom.report.pdf
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CiteExportLink to record
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  • apa
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