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

ISBN-10: 3319076493

ISBN-13: 9783319076492

Agents and multi-agent structures are on the topic of a latest software program paradigm which has lengthy been famous as a promising know-how for developing self reliant, advanced and clever structures. the subjects lined during this quantity comprise agent-oriented software program engineering, agent co-operation, co-ordination, negotiation, association and communique, dispensed challenge fixing, multi-agent groups, rational and clustering brokers, studying paradigms, agent cognitive types, and heterogenous multi-agent environments.

The quantity highlights new tendencies and demanding situations in agent and multi-agent examine and contains 30 papers categorized in 5 particular subject matters: Modeling and good judgment brokers, wisdom dependent agent structures, Cognitive and cooperative multi-agent platforms, Agent-based Modeling and Simulation, and studying Paradigms and purposes: Agent-based procedure. the broadcast papers were provided on the eighth KES convention on Agent and Multi-Agent structures – applied sciences and functions (KES-AMSTA 2014) held in Chania at the island of Crete in Greece in June 2014.

The awarded effects can 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 platforms, 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

Example text

The subject’s task was to make a speeded button-press response on each target presentation only in the attended visual field, while stimuli in the opposite field were to be ignored. Next, we describe the six sub-cases and how the model will respond to each one. Fig. 2. Sub-cases’ representation. a) Standard stimulus on attended visual field (AVF). b) Standard stimulus on non-attended visual field (NAVF). c) Target stimulus on AVF. d) Target stimulus on NAVF. e Novel stimulus on AVF. f) Novel stimulus on NAVF.

If the recognition distance is short, the success rate increases as the number of robots increases. In addition, if the total number of robots is small, the success rate increases as the recognition distance to the light increases, because the influence of the recognition distance and the total number of robots are related to the field. The recognition distance is related to the range of fields that can be covered by the light signal. The total number of robots is the density of the robot in the field.

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. It does similar actions with intensity and orientation features. This processes creates saliency by features values for ESTC 4.

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