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By Xuan F. Zha

This e-book provides the new advances in multi-mobile agent platforms, the product improvement technique, fuzzy common sense structures, neural networks and ambient clever environments between many different recommendations during this interesting box

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Extra info for Artificial Intelligence and Integrated Intelligent Information Systems: Emerging Technologies and Applications

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16 Acampora, Loia, Nappi, & Ricciardi The information inferred at this stage will be used in the next level to control the actuator devices. The second control block (vertical wise) is a set of semantically related controllers distributed using horizontal scheme. At this hierarchical level the system uses classic fuzzy controllers coded in FML. , HVAC rules or lighting system rules) on different hosts. Some examples of devices control distributed fuzzy rules are shown: IF Temperature is LOW AND Sleeping is ON THEN MotorHVACspeed is High IF inLuminosity is LOW AND Working is ON THEN actLuminosity is High … It is simple to note that information related to behavior inferred from root layer of hierarchic intelligence scheme is used merely to cut the fuzzy set composing the consequent part of rules so as to influence the device’s operation.

Is prohibited. 16 Acampora, Loia, Nappi, & Ricciardi The information inferred at this stage will be used in the next level to control the actuator devices. The second control block (vertical wise) is a set of semantically related controllers distributed using horizontal scheme. At this hierarchical level the system uses classic fuzzy controllers coded in FML. , HVAC rules or lighting system rules) on different hosts. Some examples of devices control distributed fuzzy rules are shown: IF Temperature is LOW AND Sleeping is ON THEN MotorHVACspeed is High IF inLuminosity is LOW AND Working is ON THEN actLuminosity is High … It is simple to note that information related to behavior inferred from root layer of hierarchic intelligence scheme is used merely to cut the fuzzy set composing the consequent part of rules so as to influence the device’s operation.

Copying or distributing in print or electronic forms without written permission of Idea Group Inc. is prohibited. Intelligent Ant Colony System for Traveling Salesman Problem and Clustering 27 Experimental Results for the Traveling Salesman Problem To evaluate the effectiveness of PACS, we have performed an extensive performance study. In this section, we report our experimental results on comparing PACS with ant system (AS) and ant colony system (ACS). It is shown that PACS and various combinations outperform both ant system (AS) and ant colony system (ACS).

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