René Schumann – författare

The work on Autonomic Road Transport Support (ARTS) presented here aims at meeting the challenge of engineering autonomic behavior in Intelligent Transportation Systems (ITS) by fusing research from the disciplines of traffic engineering and autonomic computing. Ideas and techniques from leading edge artificial intelligence research have been adapted for ITS over the last 30 years. Examples include adaptive control embedded in real time traffic control systems, heuristic algorithms (e.g. in SAT-NAV systems), image processing and computer vision (e.g. in automated surveillance interpretation). Autonomic computing which is inspired from the biological example of the body’s autonomic nervous system is a more recent development. It allows for a more efficient management of heterogeneous distributed computing systems. In the area of computing, autonomic systems are endowed with a number of properties that are generally referred to as self-X properties, including self-configuration, self-healing, self-optimization, self-protection and more generally self-management. Some isolated examples of autonomic properties such as self-adaptation have found their way into ITS technology and have already proved beneficial.   This edited volume provides a comprehensive introduction to Autonomic Road Transport Support (ARTS) and describes the development of ARTS systems. It starts out with the visions, opportunities and challenges, then presents the foundations of ARTS and the platforms and methods used and it closes with experiences from real-world applications and prototypes of emerging applications. This makes it suitable for researchers and practitioners in the fields of autonomic computing, traffic and transport management and engineering, AI, and software engineering. Graduate students will benefit from state-of-the-art description, the study of novel methods and the case studies provided.

The work on Autonomic Road Transport Support (ARTS) presented here aims at meeting the challenge of engineering autonomic behavior in Intelligent Transportation Systems (ITS) by fusing research from the disciplines of traffic engineering and autonomic computing. Ideas and techniques from leading edge artificial intelligence research have been adapted for ITS over the last 30 years. Examples include adaptive control embedded in real time traffic control systems, heuristic algorithms (e.g. in SAT-NAV systems), image processing and computer vision (e.g. in automated surveillance interpretation). Autonomic computing which is inspired from the biological example of the body’s autonomic nervous system is a more recent development. It allows for a more efficient management of heterogeneous distributed computing systems. In the area of computing, autonomic systems are endowed with a number of properties that are generally referred to as self-X properties, including self-configuration, self-healing, self-optimization, self-protection and more generally self-management. Some isolated examples of autonomic properties such as self-adaptation have found their way into ITS technology and have already proved beneficial.   This edited volume provides a comprehensive introduction to Autonomic Road Transport Support (ARTS) and describes the development of ARTS systems. It starts out with the visions, opportunities and challenges, then presents the foundations of ARTS and the platforms and methods used and it closes with experiences from real-world applications and prototypes of emerging applications. This makes it suitable for researchers and practitioners in the fields of autonomic computing, traffic and transport management and engineering, AI, and software engineering. Graduate students will benefit from state-of-the-art description, the study of novel methods and the case studies provided.

Dieses Buch stellt Kriterien und Handlungsempfehlungen für erfolgreiche Verhandlungen vor. Das hierfür auf wissenschaftlicher Basis entwickelte System of Negotiations verdeutlicht anschaulich die wichtigsten Schritte, Tools und Anwendungen. Durch den Einsatz von Spieltheorie und Verhaltensökonomie lässt sich der Verhandlungserfolg im Einkauf systematisch maximieren. Gleichzeitig bieten Transparenz und Fairness eine hohe Akzeptanz bei den Verhandlungspartnern. Dazu wird mit zahlreichen Praxisbeispielen gezeigt, wie die Auftragsvergabe bei Wettbewerb zwischen Zulieferern erfolgen kann sowie durch verschiedene Auktionsformate und eine differenzierte Kommunikation optimale Einsparpotentiale ermöglicht werden. Auch für Situationen, in denen der Anbieter ein Monopolist ist, werden Wege beschrieben, um der Preissetzungsmacht nicht ausgeliefert zu sein.

This book presents criteria and recommendations for successful negotiations. The System of Negotiations, which was developed on a scientific basis for this purpose, clearly illustrates the most important steps, tools and applications. By using game theory and behavioral economics, the success of negotiations in purchasing can be systematically maximized. At the same time, transparency and fairness offer a high level of acceptance among negotiating partners. To this end, numerous practical examples are used to show how contracts can be awarded in the event of competition between suppliers, and how various auction formats and differentiated communication can be used to achieve optimal savings potential. Also for situations where the supplier is a monopolist, ways are described to avoid being at the mercy of pricing power.