Paulo Leitão
Instituto Politecnico Braganca (Portugal)

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Ichiro Satoh
National Institute of Informatics (Japan)

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Alexander V. Smirnov
St. Petersburg Institute (Russia)

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Leitão

Paulo Leitão

Instituto Politecnico Braganca (Portugal)

Title: Industrial Agents in the Context of Industry 4.0
Abstract

Global markets are imposing strong changing conditions for industrial companies running their businesses, facing strong pressures related to the customization of products in high flexible production systems. Industry 4.0 is an initiative that promotes the computerization of traditional industries, aiming intelligent factories characterized by adaptability, efficiency, functionality, reliability, safety, and usability, as well as the integration of customers and business partners in business and value processes. Cyber-physical systems constitute a technological basis to address this challenge, providing significant benefits in several emergent application domains, such as smart grids, smart buildings, smart transportation, smart healthcare, and particularly in smart manufacturing. This presentation discusses the use of multi-agent systems to support the development of intelligent, dynamic and self-* large-scale industrial cyber-physical systems. For this purpose, some successful industrial/research projects will be described, emphasizing the achieved results, the innovation of using agent-based solutions as well pointing out the current trends and challenges.

Biography
Ichiro Satoh

Ichiro Satoh

National Institute of Informatics (Japan)

Title: TBC
Alexander V. Smirnov

Alexander V. Smirnov

St. Petersburg Institute for Informatics and Automation (Russia)

Title: Context-Aware Decision Support in Socio-Cyberphysical Systems: from Smart Space-Based Applications to Human-Computer Cloud Services
Abstract

Context-aware decision support is required in situations taking place in dynamic, rapidly changing, and often unpredictable distributed environments. Such situations can be characterized by highly decentralized up-to-date data sets coming from various resources located in socio-cyberphysical systems. Such systems tightly integrate heterogeneous resources of the physical world and IT (cyber) world together with social networking concepts. This term is tightly related to such terms as Web 4.0 and Internet of Things (IoT). The goals of context-aware decision support are to assess the relevance of information & knowledge to the problem that requires a decision, to timely provide the decision maker with up-to-date information, and to gain insight in seeking and evaluating possible decision alternatives.

The paper addresses theoretical and technological foundations of context-aware decision support in agent-based environments. The theoretical fundamentals are built around ontologies as a widely accepted tool for the semantic modeling of context information. They provide efficient facilities to represent application knowledge, and to make resources of the dynamic environments context-aware and interoperable. The proposed fundamentals are supported by advanced intelligent technologies (ontology management, context management, smart space, cloud computing, decision mining, and user profiling).

The paper summarizes ten year experience of using Smart-M3 (multi-device, multi-vendor, multi-domain) platform for implementation of service-oriented applications based on information sharing by software agents and related to collaborative work, smart logistic, and infomobility. A novel concept of human-computer cloud as an architectural approach to build decision support systems as agent-based cloud systems is also described. The concept serves as a unifying basis for usage of human-based resources and enables their virtualize like “ordinary” computing resources. Particularly, the paper discusses a tourist decision support system integrating machine-driven (GIS, knowledge-based inference, etc.) and human-driven (recommendation systems, expert competence management, etc.) services.

Biography