With her theory of Language as Dialogue, Edda Weigand has opened up a new and promising perspective in linguistic research and its neighbouring disciplines. Her model of competence-in-performance solved the problem of how to bridge the gap between competence and performance and thus substantially shaped the way in which people look at language today. This book traces Weigand s linguistic career from its beginning to today and comprises a selection of articles which take the reader on a vivid and fascinating journey through the most important stages of her theorizing. The initial stage when a model of communicative competence was developed is followed by a gradual transition period which finally resulted in the theory of the dialogic action game as a mixed game or the Mixed Game Model. The articles cover a wide range of linguistic topics including, among others, speech act theory, lexical semantics, utterance grammar, emotions, the media, rhetoric and institutional communication. Editorial introductions give further information on the origin and theoretical background of the articles included.
The Mixed Game Model represents a holistic theory of dialogue which starts from human beings competence-in-performance and describes how language is integrated in a general theory of human action and behaviour. Human beings are able to adapt to changing conditions and to pursue their interests by the integrated use of various communicative means, mainly verbal, perceptual and cognitive. The core unit is the dialogic action game or the mixed game with human beings at the centre acting and reacting in cultural surroundings. The key to opening up the complex whole is human beings nature. The Mixed Game Model demonstrates how the different disciplines of the natural and social sciences and the humanities are mutually interconnected. After a detailed overview of the state of the art, the fundamentals of the theory are laid down. They include a typology of action games which ranges from minimal games to complex institutional games. The description is illustrated by analyses of authentic games.
In this book, an interdisciplinary approach combining dynamic quantitative measurements with mathematical modelling is used to solve two different problems in molecular immunology. In the first part, structure and function of the gene-regulatory network that controls differentiation of type I T-helper (Th1) cells is investigated. By determining the network structure through an iterative process of modelling and experiments, the author shows that Th1 differentiation proceeds in two steps: In the early effector phase, the Th1 master transcription factor T-bet is controlled by an interferon-? dependent positive feedback loop, while in the later phase a second IL-12 dependent feedback maintains T-bet expression. The antigen signal acts as a switch between the two pathways. Moreover, it is shown that only T-bet expression in the late phase is predictive of the success of the differentiation process. Since T-bet expression in the late phase requires IL-12 stimulation, this work uncovers the molecular mechanisms behind the unique role of IL-12 in Th1 differentiation. In the second part, regulation of the transcription factor NFAT that mediates antigenic stimulation in T-cells is investigated. NFAT is activated by nuclear import upon dephosphorylation of multiple residues. Based on simultaneous measurements of NFAT subcellular localization and phosphorylation, a quantitative mathematical model of the NFAT regulatory network is developed and the underlying design principles are analyzed. In summary, the study exemplifies the necessity of a dynamic analysis at the systems level to understand complex biological processes.
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