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Modern laser technology and ultrafast spectroscopies have pushed the timescales for detecting and manipulating dynamical processes in molecules from the picosecond over femtosecond domains, to the attosecond regime (1 as = 10(-18) s). This way, real-time dynamics of electrons after their photoexcitation can be probed and manipulated. In particular, experiments are moving more and more from atomic and solid state systems to molecules, opening the fields of "molecular electron dynamics" and "attosecond chemistry." Also on the theory side, powerful quantum dynamical tools have been developed to rationalize experiments on ultrafast electron dynamics in molecular species. <br /> In this contribution, we concentrate on theoretical aspects of ultrafast electron dynamics in molecules, mostly driven by lasers. The dynamics will be described with the help of wavefunction-based ab initio methods such as time-dependent configuration interaction (TD-CI) or the multiconfigurational time-dependent Hartree-Fock (MCTDHF) methods. Besides a survey of the methods and their extensions toward, e.g., treatment of ionization, laser pulse optimization, and open quantum systems, two specific examples of applications will be considered: The creation and/or dynamical fate of electronic wavepackets, and the nonlinear optical response to laser pulse excitation in molecules by high harmonic generation (HHG).
As part of the digitization, the role of artificial systems as new actors in knowledge-intensive processes requires to recognize them as a new form of knowledge bearers side by side with traditional knowledge bearers, such as individuals, groups, organizations. By now, artificial intelligence (AI) methods were used in knowledge management (KM) for knowledge discovery, for the reinterpreting of information, and recent works focus on the studying of different AI technologies implementation for knowledge management, like big data, ontology-based methods and intelligent agents [1]. However, a lack of holistic management approach is present, that considers artificial systems as knowledge bearers. The paper therefore designs a new kind of KM approach, that integrates the technical level of knowledge and manifests as Neuronal KM (NKM). Superimposing traditional KM approaches with the NKM, the Symbiotic Knowledge Management (SKM) is conceptualized furthermore, so that human as well as artificial kinds of knowledge bearers can be managed as symbiosis. First use cases demonstrate the new KM, NKM and SKM approaches in a proof-of-concept and exemplify their differences.
A growing number of business processes can be characterized as knowledge-intensive. The ability to speed up the transfer of knowledge between any kind of knowledge carriers in business processes with AR techniques can lead to a huge competitive advantage, for instance in manufacturing. This includes the transfer of person-bound knowledge as well as externalized knowledge of physical and virtual objects. The contribution builds on a time-dependent knowledge transfer model and conceptualizes an adaptable, AR-based application. Having the intention to accelerate the speed of knowledge transfers between a manufacturer and an information system, empirical results of an experimentation show the validity of this approach. For the first time, it will be possible to discover how to improve the transfer among knowledge carriers of an organization with knowledge-driven information systems (KDIS). Within an experiment setting, the paper shows how to improve the quantitative effects regarding the quality and amount of time needed for an example manufacturing process realization by an adaptable KDIS.
Time to change
(2020)
Industry 4.0 leads to a radical change that is progressing incrementally. The new information and communication technologies provide many conceivable opportunities for their application in the context of sustainable corporate management. The combination of new digital technologies with the ecological and social goals of companies offers a multitude of unimagined potentials and challenges. Although companies already see the need for action, there was in the past and currently still is a lack of concrete measures that lever the potential of Industry 4.0 for sustainability management. During the course of this position paper we develop six theses (two from each sustainability perspective) against the background of the current situation in research and practice, and policy.
Focusing on forest policy and urban climate politics in Brazil and Indonesia, the primary objective of this chapter is to identify domestic pioneers and leaders who, compared to other sectors, governmental levels or jurisdictions within the same nation-state, move ‘ahead of the troops’ (Liefferink and Wurzel, 2017: 2-3). The chapter focuses especially on the role of multilevel governance in bringing about pioneership and leadership and on the different types of that have emerged. It also explores whether and, if so, to what extent domestic pioneers and leaders attract followers and whether there are signs of sustained domestic leadership. The chapter identifies the actors that constitute pioneers and leaders and assesses the processes which lead to their emergence. The chapter authors take up Wurzel et al.’s (2019) call to open up the black box of the nation-state. But instead of stressing the role of non-state actors, the chapter authors focus on vertical interactions among different governmental levels within nation states. The main argument put forward is that international and transnational processes, incentives, and ideas often trigger the development of domestic pioneership and leadership. Such processes, however, cannot be understood properly if domestic politics and dynamics across governmental levels within the nation-state are not taken into account.
Erfolgreiches Verhandeln stellt einen Schlüsselfaktor für Unternehmenserfolge dar. Es angemessen zu trainieren kann jedoch sowohl zeitaufwendig als auch kostenintensiv werden, erfordert es doch idealerweise wiederholte, persönliche Übungen mit professionellen Verhandlungsführern oder Agenten. Digitale Trainingswerkzeuge können zwar ebenfalls Trainingserfolge erzielen, bieten aber eine mangelnde Authentizität der Übungssituation und erschweren somit den Transfer des Gelernten in den Berufsalltag. Das in diesem Beitrag vorgestellte Verhandlungstraining setzt Virtual Reality (VR) als Technologie für realitätsnahe Simulation ein, um eine räumlich authentische Übungssituation zu schaffen. Weiterhin dient ein sprachlich interagierendes Dialogsystem als automatisierter, virtueller Verhandlungsagent. Dieser wurde mit Interaktionsdaten aus einer Verhandlungsstudie trainiert und bietet Trainingspersonen somit einen wirksamen Übungspartner für das VR-Verhandlungstraining.