Titlebook: Casualties of Causality; Peter Dahler-Larsen Book 2022 The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022 Resea

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Mehrdad Vasheghani Farahanier and thus their behaviors are possibly changed. We build a multi-agent system (MAS.) in the context of social networks to model the mutual influence among agents’ intentions and the transformation from agents’ intentions to their behaviors in groups. On the micro level of individual agents, we con

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Algorithmic Problems in Scheduling Jobs on Variable-Speed Processors as well as the short battery life of portable devices. Dynamic Voltage Scaling (DVS) has emerged as a useful technique: e.g. Intel’s newest Foxton technology enables a chip to run at 64 different speed levels. Equipped with DVS technology, the operating system can then save CPU’s energy consumption

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Decomposition for Compositional Verificationcomponents. In this paper, we show how to . a specification into components when either no such decomposition is given, or when the given composition does not lend itself to an efficient compositional verification. Our decomposition is the starting point for an application of the L. learning algorit

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Personalbedarfsplanung,Ansätzen sich der qualitative und quantitative Bruttopersonalbedarf bestimmen lässt, .• wie daraus der Nettopersonalbedarf resultiert und .• welche rechtlichen Aspekte bei der Bedarfsplanung maßgeblich sind.

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Detection of Oxidative DNA Base Damagess have been elicited using protein-conjugated haptens of interest. In general, the antibodies have reasonable affinity such that appropriate sensitivity in the various assays can be achieved. The difficulty with antibodies that recognize oxidized DNA bases is that the oxidized bases do not differ la

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Conference proceedings 2017saster Risk Reduction, ITDRR 2016, held in Sofia, Bulgaria, in November 2016..The 20 revised full papers presented were carefully reviewed and selected from 52 submissions. The papers focus on various aspects and challenges of coping with disaster risk reduction. The main topics include areas such a

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Lecture Notes in Computer Science Argumente, um Modelle zu wählen,sindSkalierungs- undInformationsregeln. Am Schluss des Kapitels wirdeine wichtige Kennzahl eines Wahrscheinlichkeitsmodells definiert. Es istder Erwartungswert oderder durchschnittlich erwartbare Wert. Hat man Information dazu,kann dies helfen,einWahrscheinlichkeitsmodell auszuwählen.

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