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 ebook constitutes the refereed complaints of the 1st overseas Symposium on man made existence and clever brokers, ALIA 2014, held in Bangor, united kingdom, in November 2014. the ten revised complete papers have been rigorously reviewed and chosen from 20 submissions. The papers are equipped 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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In each trial the eye is left to freely explore the image, however, a trial is terminated when the eye can no longer perceive any part of the letter or the object through the periphery vision for three consecutive time steps. The task of the agent is to correctly label the category of the current letter or object during the second half of the trial, that is, when the agent has explored the image for enough time. The agent is evaluated by the fitness function F F , which is comprised of two components: the first one, F1 (t, c) rewards the agent’s ability to rank the correct category higher than the other categories; the second one F2 (t, c) rewards the ability to maximize the activation of the correct unit while minimizing the activations of the wrong units, with the activation of the maximization of the correct unit weighting as much as the sum of the minimization of incorrect units: F1 (t, c) = 2−rank(t,c) (5) 36 O.

Each experimental condition was tested with a set of 10 random seeds, resulting in a total of 40 evolutionary runs. Due to the nature of genetic algorithms and the complexity of the problem, not all experimental runs were able to evolve a successful solution. Only those experimental runs with fitness values high enough to indicate the ability to solve more than half of the evaluation scenes were selected for subsequent rounds of testing and evaluation. 1 25 Testing Round 1 In this first testing round the best individuals from the last 500 generations of eleven successful runs were subject to a uniform set of eight road shapes in each of the twelve scenes.

1017–1024. MIT Press, Taormina (2013) 2. : Neural network vision for robot driving. , Stentz, A. ) Intelligent Unmanned Ground Vehicles, vol. 388, pp. 1–22. Springer, US (1997) 3. : A color visionbased lane tracking system for autonomous driving on unmarked roads. Auton. Robots 16(1), 95–116 (2004) 4. : Thesis: An Evolutionary Approach to Road Following. Aberystwyth University, Aberystwyth (2012) 5. : Real-time autonomous colour-based following of illdefined roads. , Vadakkepat, P. ) TAROS-FIRA 2012.

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