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 e-book constitutes the refereed court cases of the 1st overseas Symposium on synthetic existence 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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0; and (iii) the eye is randomly initialized at the centre one third of the screen, so that the agent can always perceive part of the letter with the periphery vision. 2 37 Experiments Two and Three In experiment two, we have used the Uniform Local Binary Pattern method [8] for the pre-processing of the periphery region for the task of categorizing objects in images taken from a Humanoid robot’s camera; and in experiment three, we adopted the gray-scale method for the same problem. The two systems are used to categorize coloured images (320 by 240 pixels each) of five different objects namely: soft toy, tv remote control set, microphone, board wiper, and hammer.

Finally, we investigate the impact of structural network properties on the learning outcome, as well as the influence of mutation driven by exploration. Keywords: Reinforcement learning dynamics 1 · Social networks · Replicator Introduction Understanding the dynamics of networked interactions is of vital importance to a wide range of research areas. For example, these dynamics play a central role in biological systems such as the human brain [10] or molecular interaction networks within cells [4]; in large technological systems such as the word wide web [16]; in social networks such as Facebook [2,18,37]; and in economic or financial institutions such as the stock market [12,22].

Thus it could see no contrast between the road and non-road surfaces in those scenes where red was not a feature differentiating channel. For the two successful solutions in this round, it can be seen that in both cases performance in all but one mono-colour scene deteriorated compared to the earlier round of testing. They were still capable of reaching the end of the road in these scenes, but with less consistency compared to the earlier tests contributing to the lower overall score. Interestingly despite being subject to higher contrasts than S7 during evolution, S4 was still able to match or exceed its performance in eleven out of twelve scenes.

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