Download Artificial Life and Intelligent Agents: First International by Christopher J. Headleand, William J. Teahan, Llyr Ap Cenydd PDF

By Christopher J. Headleand, William J. Teahan, Llyr Ap Cenydd

This publication constitutes the refereed complaints of the 1st overseas Symposium on synthetic lifestyles and clever brokers, ALIA 2014, held in Bangor, united kingdom, in November 2014. the ten revised complete papers have been conscientiously reviewed and chosen from 20 submissions. The papers are prepared in topical sections on studying and evolution; human interplay; robot simulation.

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Extra info for Artificial Life and Intelligent Agents: First International Symposium, ALIA 2014, Bangor, UK, November 5-6, 2014. Revised Selected Papers

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3 Genetic Algorithm A population size of 52 individual chromosomes is used, with a generational limit of 3000. Trials involved the network controllers trying to perform road-following in either six or twelve simulated environments. The best individual of each generation is guaranteed a place in the next generation, whereas the one which performed the worst is truncated and made unavailable for breeding. The rest 51 individuals of the new generation are generated by breeding with the parent chromosomes selected using the roulette-wheel method.

7 Conclusions The methodology described in this paper was successful in evolving neural networks capable of demonstrating road-following by dynamic dimensionality reduction in a variety of challenging simulated environments. This new set of controllers have shown improvement in the dynamic colour perceptions abilities compared to those evolved earlier in [1], with the capability to now recognize features based on negative and positive contrast in all three primary colour channels used. These improved results were brought about by the careful design of simulation scenes as well as the formulation of the new fitness function incorporating the colour-term Δ.

These improved results were brought about by the careful design of simulation scenes as well as the formulation of the new fitness function incorporating the colour-term Δ. This work is a significant step towards the hardware implementation of these controllers, as real-world environments would in majority consist of colour combinations similar to those present in the simulated scenes. However it is acknowledged that the contrasts between road and non-road surfaces would be lower than what the networks were tested on.

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