"What Is Narratology? sees itself as contributing to the intensive international discussion and controversy on the structure and function of narrative theory. The 14 papers in the volume advance proposals for determining the object of narratology, modelling its concepts and characterising its status within cultural studies."
This book (plus free online edition) provides comprehensive exam practice in the style of the real Higher Level GCSE Maths papers. There's a wide range of questions covering the whole course, with grades to indicate the difficulty level and helpful tips and guidance throughout. Detailed worked solutions are printed at the back of the book, with a complete mark scheme that makes it easy to check your progress. At the end of the book, there are two complete practice exams - and if you're stuck, you can watch online videos of CGP's Maths experts working through these exams. Last but not least, a free online digital edition of the entire book is also included - just use the unique code printed in the book to access it.
Answer set programming (ASP) is a declarative language tailored towards solving combinatorial optimization problems. It has been successfully applied to e.g. planning problems, configuration and verification of software, diagnosis and database repairs. However, ASP is not directly suitable for modeling problems with continuous domains. Such problems occur naturally in diverse fields such as the design of gas and electricity networks, computer vision and investment portfolios. To overcome this problem we study FASP, a combination of ASP with fuzzy logic -- a class of manyvalued logics that can handle continuity. We specifically focus on the following issues: 1. An important question when modeling continuous optimization problems is how we should handle overconstrained problems, i.e. problems that have no solutions. In many cases we can opt to accept an imperfect solution, i.e. a solution that does not satisfy all the stated rules (constraints). However, this leads to the question: what imperfect solutions should we choose? We investigate this question and improve upon the state-of-the-art by proposing an approach based on aggregation functions. 2. Users of a programming language often want a rich language that is easy to model in. However, implementers and theoreticians prefer a small language that is easy to implement and reason about. We create a bridge between these two desires by proposing a small core language for FASP and by showing that this language is capable of expressing many of its common extensions such as constraints, monotonically decreasing functions, aggregators, S-implicators and classical negation. 3. A well-known technique for solving ASP consists of translating a program P to a propositional theory whose models exactly correspond to the answer sets of P. We show how this technique can be generalized to FASP, paving the way to implement efficient fuzzy answer set solvers that can take advantage of existing fuzzy reasoners.
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