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Titlebook: Industrial Applications of Holonic and Multi-Agent Systems; 8th International Co Vladimír Mařík,Wolfgang Wahlster,Petr Kadera Conference pr

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Validating Intelligent Power and Energy Systems – A Discussion of Educational Needsinary learning. Education and training possibilities and necessary tools are described focusing on classroom but also on laboratory-based learning methods. In this context, experiences of using notebooks, co-simulation approaches, hardware-in-the-loop methods and remote labs experiments are discussed.
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Method of Adaptive Cargo Flow Scheduling for ISS RS Based on Multi-agent Technology a dynamical balance of interests between demands and resources. Methods: A method of adaptive ISS RS cargo flow scheduling in real-time is suggested, considering cargo priorities. The method is based on multi-agent technology for solving conflicts through negotiations of agents. This method is capa
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Enabling Semantics within Industry 4.0res. Thus, on so called Semantic Big Data Historian use case we are proposing the usage of state of the art distributed data storage. We discuss the approach to data storing and describe our proposed hybrid data model which is suitable for representing time series (sensor measurements) with added se
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Semi-automatic Ontology Matching Approach for Integration of Various Data Models in Automotiveription may facilitate interoperability between a company data model and new data sources as well as an update of stored data via ontology matching. The MAPSOM system (system for semi-automatic ontology matching) is introduced and described in this paper, and subsequently, an example of new data mod
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Boolean Network Models of Collective Dynamics of Open and Closed Large-Scale Multi-agent Systemsorks. We establish that, in general, the problem of enumerating possible dynamics is provably computationally hard for both “open” and “closed” variants of BNs, even when all of the following restrictions simultaneously hold: (i) the local behaviors (node update rules) are very simple, monotone Bool
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