Innovation is a high-risk endeavor and success is dependent upon a firm's understanding of customer needs. A company's initial resistance to adopting innovation is mitigated with a solid foundation of customer trust in the firm. This book uniquely combines the work of scholars and practitioners to examine how trust and customer-centricity impacts every phase of the innovation journey.Adopting a multidisciplinary approach, the contributions in this collection consider different aspects of innovating for trust. Beginning with the notion of trust itself, authors (...) examine the importance of trust in futures thinking, business model innovation, service design, co-creation, the innovative organization and self-service technologies. The book also contains a valuable collection of case studies based upon innovation with major service providers, which supports the final emphasis on the importance of trust in commercializing innovations.Practical and engaging, Innovating for Trust will appeal to enlightened business managers aiming to build and maintain customer trust, as well as students and researchers of innovation, trust and strategy. (shrink)

Using game theory and examples of actual games people play, Nobel laureate Manfred Eigen and Ruthild Winkler show how the elements of chance and rules underlie ...

T. 1. Wortschatz -- T. 2. Überlieferung, Textkritik, Grammatik.

Originally presented as the author's thesis (doctoral)--Freiburg (Breisgau), Universitèat, 1996.

Die vorliegende Arbeit, die als Diplom-Arbeit verfasst und im September 1980 bei Johannes Agnoli eingereicht wurde, war das Resultat einer Auseinandersetzung mit Michel Foucault, der man sich in Berlin Ende der 1970er Jahren nur schwer entziehen konnte. »Jeder Aussage, gleichgültig, ob sie als Affirmation, als Kritik oder als Negation gemeint ist, liegt ein positiver Gehalt zugrunde. Die Reflexion auf diesen, meist unbewußten Gehalt gibt anderen erst die Möglichkeit, aber auch sich selbst, abgegebene Urteile auf ihren Wirklichkeitsgehalt hin zu überprüfen. Letzteres (...) will nichts anderes besagen, als daß ein konsequent durchgeführter Skeptizismus sich über die eigene Positivität ebenso hinwegtäuscht, wie jede Form von Partikularismus (Empirismus, wissenschaftlicher Rationalismus und auch der Positivismus à la Foucault) darüber stolpert – und hiermit benenne ich das versteckte Problem in Foucaults Machtbegriff auf allgemeinster Ebene – daß auch noch so vereinzelte Aussagen immer auf eine, in letzter Instanz positiv beschreibbare Totalität verweisen. Die weitgehende Mißachtung dieses Aspektes einer jeden Reflexion auch im Marxismus ist der Punkt, den ich für die Entstehung der Krisen des Marxismus (mit-)verantwortlich mache.«. (shrink)

Da nur der einzelne Mensch, nicht aber etwas ihn (seinen individuellen Leib im Sinne Jean Amérys) Überschreitendes frei sein kann, darum, so lautet Sartres logisch nicht zu widerlegendes Urteil, kann keinem Objekt eine in diesem selbst angelegte Fähigkeit, Entscheidungen zu fällen, zugesprochen werden. Wenn ein Subjekt einem ihm Äußeren – etwa Gott, der Natur, dem Staat, dem Kapital oder dem Schönen, dem Glück oder sonst etwas –, eine derartige Autonomie zuschreibt, belügt es sich, meint Sartre: um der Angst vor seiner (...) Freiheit Herr zu werden und sich für seine Taten nicht verantwortlich fühlen zu müssen. Wenn man Adornos Ästhetik dieser Subjektbestimmung konfrontiert, läßt sich jedoch zeigen, daß, so sehr Sartre logisch im Recht sein mag, die Kritik im Grunde darauf zielen muß, genau jenes für Sartre Unmögliche dennoch zur Darstellung zu bringen: um die Verkehrungen erkennen zu können, dank derer das Kapital als automatisches Subjekt, als Souverän, agieren kann. (shrink)

The biological sciences have become increasingly reliant on so-called ‘model organisms’. I argue that in this domain, the concept of a descriptive model is essential for understanding scientific practice. Using a case study, I show how such a model was formulated in a preexplanatory context for subsequent use as a prototype from which explanations ultimately may be generated both within the immediate domain of the original model and in additional, related domains. To develop this concept of a descriptive model, I (...) focus on use of the nematode worm Caenorhabditis elegans and the wiring diagrams that were developed as models of its neural structure. In addition, implications of the concept of a descriptive model, particularly its relevance for the data-phenomena distinction as well as its relation to long-standing debates on realism, are briefly examined. (shrink)

Argumentation mining is an application of natural language processing (NLP) that emerged a few years ago and has recently enjoyed considerable popularity, as demonstrated by a series of international workshops and by a rising number of publications at the major conferences and journals of the field. Its goals are to identify argumentation in text or dialogue; to construct representations of the constellation of claims, supporting and attacking moves (in different levels of detail); and to characterize the patterns of reasoning that (...) appear to license the argumentation. Furthermore, recent work also addresses the difficult tasks of evaluating the persuasiveness and quality of arguments. Some of the linguistic genres that are being studied include legal text, student essays, political discourse and debate, newspaper editorials, scientific writing, and others. The book starts with a discussion of the linguistic perspective, characteristics of argumentative language, and their relationship to certain other notions such as subjectivity. Besides the connection to linguistics, argumentation has for a long time been a topic in Artificial Intelligence, where the focus is on devising adequate representations and reasoning formalisms that capture the properties of argumentative exchange. It is generally very difficult to connect the two realms of reasoning and text analysis, but we are convinced that it should be attempted in the long term, and therefore we also touch upon some fundamentals of reasoning approaches. Then the book turns to its focus, the computational side of mining argumentation in text. We first introduce a number of annotated corpora that have been used in the research. From the NLP perspective, argumentation mining shares subtasks with research fields such as subjectivity and sentiment analysis, semantic relation extraction, and discourse parsing. Therefore, many technical approaches are being borrowed from those (and other) fields. We break argumentation mining into a series of subtasks, starting with the preparatory steps of classifying text as argumentative (or not) and segmenting it into elementary units. Then, central steps are the automatic identification of claims, and finding statements that support or oppose the claim. For certain applications, it is also of interest to compute a full structure of an argumentative constellation of statements. Next, we discuss a few steps that try to 'dig deeper': to infer the underlying reasoning pattern for a textual argument, to reconstruct unstated premises (so-called 'enthymemes'), and to evaluate the quality of the argumentation. We also take a brief look at 'the other side' of mining, i.e., the generation or synthesis of argumentative text. The book finishes with a summary of the argumentation mining tasks, a sketch of potential applications, and a—necessarily subjective—outlook for the field. Table of Contents: Preface / Acknowledgments / Introduction / Argumentative Language / Modeling Arguments / Corpus Annotation / Finding Claims / Finding Supporting and Objecting Statements / Deriving the Structure of Argumentation / Assessing Argumentation / Generating Argumentative Text / Summary and Perspectives / Bibliography / Authors' Biographies / Index. (shrink)

The foundations of psychoanalysis in the German idealist concepts of the reflexive human self have been the subject of detailed investigations devoted to the intertwined processes of introspection,...

The European Legacy, Volume 16, Issue 7, Page 851-854, December 2011.

This chapter contains sections titled: Introduction A Brief History of Developmental Explanations of Phenotypic Evolution Research Questions of Evo‐Devo Unifying Themes of the Conceptual Basis of Evo‐Devo Conclusion: A Mechanistic Theory of Evo‐Devo Challenges the Modern Synthesis Postscript: Counterpoint References.

Bd. 1. Lebensbeschreibungen und Dokumente -- Bd. 2. Kommentar.