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Knowledge Representation and Inductive Reasoning Using Conditional Logic and Sets of Ranking Functions
A core problem in Artificial Intelligence is the modeling of human reasoning. Classic-logical approaches are too rigid for this task, as deductive inference yielding logically correct results is not appropriate in situations where conclusions must be drawn based on the incomplete or uncertain knowledge present in virtually all real world scenarios. Since there are no mathematically precise and generally accepted definitions for the notions of plausible or rational, the question of what a knowledge base consisting of uncertain rules entails has long been an issue in the area of knowledge representation and reasoning. Different nonmonotonic logics and various semantic frameworks and axiom syst...
Darwin, Mark, Wagner
None
Flexible Workflows
Traditional workflow management systems support the fulfillment of business tasks by providing guidance along a predefined workflow model. Due to the shift from mass production to customization, flexibility has become important in recent decades, but the various approaches to workflow flexibility either require extensive knowledge acquisition and modeling, or active intervention during execution. Pursuing flexibility by deviation compensates for these disadvantages by allowing alternative paths of execution at run time without requiring adaptation to the workflow model. This work, Flexible Workflows: A Constraint- and Case-Based Approach, proposes a novel approach to flexibility by deviation...
Shallow Discourse Parsing for German
The last few decades have seen impressive improvements in several areas of Natural Language Processing. Nevertheless, getting a computer to make sense of the discourse of utterances in a text remains challenging. Several different theories which aim to describe and analyze the coherent structure of a well-written text exist, but with varying degrees of applicability and feasibility for practical use. This book is about shallow discourse parsing, following the paradigm of the Penn Discourse TreeBank, a corpus containing over 1 million words annotated for discourse relations. When it comes to discourse processing, any language other than English must be considered a low-resource language. This...
From Narratology to Computational Story Composition and Back
Although both deal with narratives, the two disciplines of Narrative Theory (NT) and Computational Story Composition (CSC) rarely exchange insights and ideas or engage in collaborative research. The former has its roots in the humanities, and attempts to analyze literary texts to derive an understanding of the concept of narrative. The latter is in the domain of Artificial Intelligence, and investigates the autonomous composition of fictional narratives in a way that could be deemed creative. The two disciplines employ different research methodologies at contradistinct levels of abstraction, making simultaneous research difficult, while a close exchange between the two disciplines would undo...
Semantics of Belief Change Operators for Intelligent Agents: Iteration, Postulates, and Realizability
One of the core problems in artificial intelligence is the modelling of human reasoning and intelligent behaviour. The representation of knowledge, and reasoning about it, are of crucial importance in achieving this. This book, Semantics of Belief Change Operators for Intelligent Agents: Iteration, Postulates, and Realizability, addresses a number of significant research questions in belief change theory from a semantic point of view; in particular, the connection between different types of belief changes and plausibility relations over possible worlds is investigated. This connection is characterized for revision over general classical logics, showing which relations are capturing AGM revis...
Politiken des (digitalen) Spiels
Spiele sind durch Produktion, Distribution und Konsumption in politische Strukturen eingebunden. Sie spiegeln nicht nur ihre Umwelt wider, sondern werden auch maßgeblich durch diese geformt. Die Beiträger*innen fragen transdisziplinär nach der Analyse solcher »Politiken des Spiels«: Innerhalb welcher rechtlichen, gesellschaftlichen und politischen Regeln findet das Spiel statt? In welchen Machtverhältnissen stehen die am Spiel beteiligten Akteur*innen? Und wie geht die Branche mit aktuellen politischen Diskursen um? Dabei betrachten sie zahlreiche Formen des Spiel(en)s in diachroner sowie synchroner Perspektive und machen deutlich: Spielen ist ein hochpolitischer Akt.
# Wissenschaftshierarchien
Das deutsche Wissenschaftssystem ist stark durch hierarchische Strukturen geprägt. Diese wirken in vielfacher Hinsicht hemmend auf die Wissenschaft und verhindern besonders das Entstehen disruptiver Forschung, die etablierte Theorien und Herangehensweisen in Frage stellt. Die im Buch behandelten Hierarchien betreffen die Führungsstruktur von Universitäten, die sich unter den Bedingungen des New Public Managements von professoralen Oligarchien zu Autokratien präsidialer Wissenschaftsmanager gewandelt haben, genauso wie Hierarchien, die sich durch Klassenzugehörigkeit bzw. -zuschreibung ergeben. Auch die Personalstrukturen und ihre unterschiedlichen Reformmodelle sowie die Formen, in denen wissenschaftliche Ergebnisse erscheinen (von der Monographie bis zum Tweet), werden beleuchtet, da diese allesamt Hierarchisierungen unterworfen sind. Neben den Analysen kommen stets auch Lösungsmöglichkeiten zur Diskussion, etwa zum Wissenschaftszeitvertragsgesetz und zur Frage der universitären Personalgestaltung generell.
Efficient Frequent Subtree Mining Beyond Forests
A common paradigm in distance-based learning is to embed the instance space into a feature space equipped with a metric and define the dissimilarity between instances by the distance of their images in the feature space. Frequent connected subgraphs are sometimes used to define such feature spaces if the instances are graphs, but identifying the set of frequent connected subgraphs and subsequently computing embeddings for graph instances is computationally intractable. As a result, existing frequent subgraph mining algorithms either restrict the structural complexity of the instance graphs or require exponential delay between the output of subsequent patterns, meaning that distance-based lea...
Next Generation HALT and HASS
NEXT GENERATION HALT AND HASS ROBUST DESIGN OF ELECTRONICS AND SYSTEMS A NEW APPROACH TO DISCOVERING AND CORRECTING SYSTEMS RELIABILITY RISKS Next Generation HALT and HASS presents a major paradigm shift from reliability prediction-based methods to discovery of electronic systems reliability risks. This is achieved by integrating highly accelerated life test (HALT) and highly accelerated stress screen (HASS) into a physics of failure based robust product and process development methodology. The new methodologies challenge misleading and sometimes costly misapplication of probabilistic failure prediction methods (FPM) and provide a new deterministic map for reliability development. The author...
