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物件導向軟體之架構(Object-Oriented Software Construction)探討

The study of multi-agent systems (MAS) focuses on systems in which many intelligent agents interact with each other. These agents are considered to be autonomous entities such as software programs or robots. Their interactions can either be cooperative (for example as in an ant colony) or selfish (as in a free market economy). This book assumes only basic knowledge of algorithms and discrete maths, both of which are taught as standard in the first or second year of computer science degree programmes. A basic knowledge of artificial intelligence would useful to help understand some of the issues, but is not essential. The books main aims are: To introduce the student to the concept of agents and multi-agent systems, and the main applications for which they are appropriate To introduce the main issues surrounding the design of intelligent agents To introduce the main issues surrounding the design of a multi-agent society To introduce a number of typical applications for agent technology

An Introduction to MultiAgent Systems.

National Institute of Standards and Technology における超伝導研究及び生活

* Starting from Need* Evolution of the Toyota Production System* Further Development* Genealogy of the Toyota Production System* The True Intention of the Ford System* Surviving the Low-Growth Period

Toyota production system : beyond large-scale production

Die Erfindung bezieht sich auf ein System bzw. Verfahren zur automatischen Prufung von Planungsergebnissen, wobei die Prufungen mittels einer Datenverarbeitungseinrichtung (1), in der zu prufende Planungsergebnisse (3) in elektronischer Form gespeichert sind, und mittels Software-Mittel zur Durchfuhrung automatischer und systematischer Prufungen ermoglicht sind. Die Software-Mittel enthalten in Form von Regeln (5) gespeicherte Prufkriterien, sowie Prufprogramme, die Zugriff auf die Planungsergebnisse (3) und die Regeln (5) haben. Auserdem sind Anzeige- und/oder Ausgabemittel (7) zur Ausgabe von Prufungsergebnissen vorhanden.

System und verfahren zur automatischen prüfung von planungsergebnissen

Context-aware systems are gaining increasing importance in industry as managing and using context information opens new opportunities for reconfiguration, digital twin concepts, performance monitoring, and so forth. Today, there is an immense variety of context-aware systems, from mobile applications to complex systems which require run time reconfiguration. The diversity of methods for acquiring the relevant data, as well as the specific use case requirements, complicate the management and usage of context information. Thus, the usage of context information for the reconfiguration management of systems demands adequate processes to identify and model system-relevant context. Consequently, in this research, we present a new method for identifying and modeling the context information that is relevant to trigger a system reconfiguration as well as automated context model creation in the form of ontologies and feature models. We suggest the ontology usage to disambiguate the data from different sources. The implementation of context-aware behavior is beyond the scope of this article and will be included in future research. We validate our ideas using cases study in the wind energy domain and unmanned automated vehicle domain. <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Note to Practitioners —Dynamically changing environments, require systems that continuously monitor their environment and adapt when necessary to ensure safe and optimal operation. For the system to adapt, it is necessary to define which of the environmental variables are relevant and when a change should lead to a reconfiguration of the system. The method presented in this article helps practitioners to identify these environmental variables. A rapidly changing environment also means having to interact with different systems from different vendors. The relevant environmental variables could be provided by different systems or collected by different sensors that rely on different data models. To cope with this heterogeneous environment, it is useful to create a formalized and reusable context model, describing the relevant environmental variables. A formalized context model serves as a semantic layer to link heterogeneous data and enables operation in a changing environment. In this way, the result of the presented method is transformed automatically into an ontology.

A Process for Identifying and Modeling Relevant System Context for the Reconfiguration of Automated Systems

Due to their capability to model information about various domains in a semantically rich way, knowledge graphs gain importance in the engineering of automated systems. Still, the integration of engineering artifacts, which are usually created by software, is a challenge, due to missing interfaces of engineering software. In this paper, we propose a method for extracting information directly from running engineering software. The core concept of this method are virtual graphs, which do not physically store data, but instead have capabilities to access data from the software’s internal information model on demand. This information can then be accessed by other engineering software, which avoids typical, tedious workflows consisting of data exports and imports from and to different tools. For this concept, a generic concept and an architecture for a landscape of engineering tools are presented. They are validated by a prototypical implementation, which creates a virtual graph of the internal data of a SysML-tool and makes it accessible by a graph database.

Creating Virtual Knowledge Graphs from Software-Internal Data

Fast changing markets require new manufacturing strategies to meet customers’ desires. Therefore, concepts of flexible and adaptable manufacturing systems are considered. This paper provides an overview of different approaches dealing with flexibility. A new concept based of the software product line engineering presents opportunities for easier reconfiguration at runtime. This concept extends the software product line engineering approach due to flexibilities, which have to be considered for runtime analysis. Furthermore, this concept is applied to industrial problems as well as to a demonstrator. Based on the application to industrial fields, requirements and challenges are identified, which have to be considered in future work. The aim of this paper is to briefly sketch the new concept and identify the requirements for the development of the required methods.

/pdf/new-opportunities-using-variability-management-in-the-5exaqenq3o.pdf

New Opportunities using Variability Management in the Manufacturing Domain during Runtime.

Modellierung von Aufträgen und Produktionsressourcen in flexibilisierten Produktionsumgebungen

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