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Dimensions Of Register Variation

RRP $275.00

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Douglas Biber's new book extends and refines the research and methodology reported in his ground breaking Variation Across Speech and Writing (CUP 1988). In Dimensions of Register Variation he gives a linguistic analysis of register in four widely differing languages: English, Nukulaelae Tuvaluan, Korean, and Somali. Using the multi-dimensional analytical framework employed in his earlier work, Biber carries out a principled comparison of both synchronic and diachronic patterns of variation across the four languages. Striking similarities as well as differences emerge, allowing Biber to predict for the first time cross-linguistic universals of register variation. This major new work will provide the foundation for the further investigation of cross-linguistic universals governing the pattern of discourse variation across registers, and will be of wide interest to any scholar interested in style, register and literacy.


Answer Set Programming For Continuous Domains

RRP $338.99

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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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