Titlebook: AI*IA 2015 Advances in Artificial Intelligence; XIVth International Marco Gavanelli,Evelina Lamma,Fabrizio Riguzzi Conference proceedings

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Conference proceedings 2015anized in topical sections on swarm intelligence and genetic algorithms; computer vision; multi-agents systems; knowledge representation and reasoning; machine learning; semantic Web; natural language; and scheduling, planning and robotics..

Blatant

Engaging Different Types of Gifted Learnershierarchy and recursion, which imply the adoption of unusual routing tables. We show how the proposed approach may provide distributed systems with improved efficiency and scalability, with respect to traditional approaches.

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https://doi.org/10.1007/978-1-4614-6849-3 enacted at the operational level by mean of a floor-field based model, in a discrete simulation approach. The described model allows the agent taking decisions based on a static a-priori knowledge of the environment and dynamic perceivable information on the current level of crowdedness of visible path alternatives.

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臭名昭著

https://doi.org/10.1007/978-1-4614-6849-3st step is cropped in order to meet the requirements of off-the-shelf algorithms for checkerboard detection and let them work at their best. Experimental results show that, doing so, it is possible to achieve not only a significant increase of detection accuracy but also a relevant reduction of proc

流利圆滑

Hypothesis Testing and Categorical Data,mong the agents. While economic factors are easily modelled, social ones are much more difficult to extract and assess. For this reason, in the model we have inserted a large number of social parameters that have been automatically tuned on the basis of past data. The Emilia-Romagna region of Italy

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