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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...
Reclaiming the Hebrew Bible
The 19th century saw the rise of Biblical Criticism in German universities, culminating in Wellhausen's radical revision of the history of biblical times and religion. For German-Jewish intellectuals, the academic discipline promised emancipation from traditional Christian readings of Scripture - but at the same time suffered from what was perceived as anti-Jewish bias, this time in scholarly robes. "Reclaiming the Hebrew Bible" describes the German-Jewish strategies to cope with Biblical Criticism - varying from an enthusiastic welcome in the early decades, through modified adoption in Jewish Reform circles, to resolute rejection in the Orthodox camp. The study surveys the awareness and attitudes towards Biblical Criticism in the popular German-Jewish periodicals, and analyzes in depth the works of the first modern Jewish historian I. M. Jost (1793-1860), of the theologian S. L. Steinheim (1789-1866), and of the Reform activist Siegmund Maybaum (1844-1919).
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...
