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Download Agent and Multi-Agent Systems: Technologies and by Gordan Jezic, Mario Kusek, Ignac Lovrek, Robert J. Howlett, PDF

By Gordan Jezic, Mario Kusek, Ignac Lovrek, Robert J. Howlett, Lakhmi C. Jain

Agents and multi-agent platforms are with regards to a latest software program paradigm which has lengthy been well-known as a promising know-how for developing independent, advanced and clever structures. the themes coated during this quantity comprise agent-oriented software program engineering, agent co-operation, co-ordination, negotiation, association and verbal exchange, allotted challenge fixing, multi-agent groups, rational and clustering brokers, studying paradigms, agent cognitive versions, and heterogenous multi-agent environments.

The quantity highlights new developments and demanding situations in agent and multi-agent learn and comprises 30 papers categorized in 5 particular issues: Modeling and common sense brokers, wisdom established agent structures, Cognitive and cooperative multi-agent platforms, Agent-based Modeling and Simulation, and studying Paradigms and functions: Agent-based strategy. the printed papers were offered on the eighth KES convention on Agent and Multi-Agent structures – applied sciences and purposes (KES-AMSTA 2014) held in Chania at the island of Crete in Greece in June 2014.

The awarded effects could be of worth to the examine group operating within the fields of man-made intelligence, collective computational intelligence, robotics, discussion platforms and, particularly, agent and multi-agent structures, applied sciences and applications.

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Extra info for Agent and Multi-Agent Systems: Technologies and Applications: Proceedings of the 8th International Conference KES-AMSTA 2014 Chania, Greece, June 2014

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Same process as 10. 34 ´ C. Avila-Contreras et al. 3 Case Study The next step in our research process is to prove the model in a real case. The case study is based on the work of Yamaguchi et al. [6]. They develop a behavioral task where visual stimuli were displayed on a LCD. They used a bi-field visual-selective attention paradigm allowing examination of the response to attended versus unattended novel events. Visual stimuli consisted of three categories: standard, target and novel stimuli. Standard and target stimuli were triangle.

Processing stages: A. Visual processing, B. Novelty handling and C. Attentional selection. is calculated if it (x, y) location is in relevant region attentional-set received from PUL, and high value otherwise. 2. LGN increases the visual values if their correspondent spacial modulation has a low value. LGN combines k visual values to send simplified visual data to STC. 3. STC increases visual values if its color is similar to the relevant color attentionalset element received from PUL STC measures how different is in hue color each of the k simplified visual data comparing it with the rest.

Suppressing Energy Consumption of Transportation Robots using Mobile Agents. In: International Conference on Agents and Artificial Intelligence, vol. 1, pp. 219–224 (2013) 9. : Cooperatively Searching Objects Based on Mobile Agents. T. ) Transactions on Computational Collective Intelligence XI. LNCS, vol. 8065, pp. 119–136. Springer, Heidelberg (2013) 10. : Aggregating Multiple Robots with Serialization. T. ) ACIIDS 2012, Part I. LNCS, vol. 7196, pp. 177–186. Springer, Heidelberg (2012) 11. : Making Autonomous Robots Form Lines.

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