Download PDF by Yun-Qian Miao, Alaa Khamis, Fakhreddine O. Karray, Mohamed: Autonomous and Intelligent Systems: Second International

By Yun-Qian Miao, Alaa Khamis, Fakhreddine O. Karray, Mohamed S. Kamel (auth.), Mohamed Kamel, Fakhri Karray, Wail Gueaieb, Alaa Khamis (eds.)

ISBN-10: 3642215378

ISBN-13: 9783642215377

This ebook constitutes the refereed complaints of the second one overseas convention on self reliant and clever platforms, AIS 2011, held in Burnaby, BC, Canada, in June 2011, colocated with the overseas convention on photograph research and popularity, IACIAR 2011.

The forty revised complete papers provided have been rigorously reviewed and chosen from sixty two submissions. The papers are prepared in topical sections on self sufficient and clever platforms, clever and complicated keep an eye on structures, clever sensing and information research, human-machine interplay, and clever circuit research and sign processing.

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Read Online or Download Autonomous and Intelligent Systems: Second International Conference, AIS 2011, Burnaby, BC, Canada, June 22-24, 2011. Proceedings PDF

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Additional resources for Autonomous and Intelligent Systems: Second International Conference, AIS 2011, Burnaby, BC, Canada, June 22-24, 2011. Proceedings

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C Springer-Verlag Berlin Heidelberg 2011 32 S. Keshmiri and S. Payandeh incorporating the global goal of a group of predators into their local interests using a payoff function. A coordination algorithm for an obstacle-free environment with static target is presented in [11] which is based on the multi-agent version of [12]. The generic algorithm in an obstacle-free grid world is used in [13] to evolve (and co-evolve) neural network controllers, rather than program controllers. In their work, the authors used the term co-evolution to refer to maintaining and evolving individuals for taking different roles in a pursuit task.

N, is satisfied which would in turn satisfy (1). 2. Conflicting action selection: In such a case, agents with no conflicting choice would perform their preferred, maximizing actions, respectively. For the conflicting agents, however, it is true that: πi (ˆ a) ≥ πj (ˆ a), i = j (11) with a ˆ being a joint maximizing action that causes the conflict between the ith and j th agents. As per (11), conflicting action would be assigned to the j th agent due to higher gain obtained, hence preserving the agent’s gain maximization action.

The paper also contains a very useful literature review on the topic of multi-agents target pursuit. The proposed approach in present work views the problem of action selection among group of autonomous robots as an instance of distributed probabilistic inference in which the joint probability distribution over the set of available actions is constructed as per individual robots’ observations. By autonomy here, we refer to a control strategy in which no external mechanism may involve in robot’s locomotion and decision-making processes at the individual level other than the robot itself.

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Autonomous and Intelligent Systems: Second International Conference, AIS 2011, Burnaby, BC, Canada, June 22-24, 2011. Proceedings by Yun-Qian Miao, Alaa Khamis, Fakhreddine O. Karray, Mohamed S. Kamel (auth.), Mohamed Kamel, Fakhri Karray, Wail Gueaieb, Alaa Khamis (eds.)


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