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Relative computability - In computability theory relative computability or relativized computability is the study of computability concepts relative to a given set. Most concepts in regular computability can be generalized to relative computability.
Computability logic - Introduced by Giorgi Japaridze in 2003, Computability logic is a research programme and mathematical framework for redeveloping logic as a systematic formal theory of computability, as opposed to classical logic which is a formal theory of truth. In this approach logical formulas represent computational problems (or, equivalently, computational resources), and their validity means being "always computable".
Computability theory - Computability theory may refer to:
Numbering (computability theory) - In computability theory a numbering is the assignment of natural numbers to a set of objects like rational numbers, graphs or words in some language. A numbering can be used to transfer the computability concept, which is strictly defined on the natural numbers using computable functions, to different objects.
Rensselaer Polytechnic Institute - Computer Science Department. Research areas: Algorithm design; Bioinformatics; Computational Science and Engineering; Computer Vision; Data Mining and Machine and Computational Learning; Database Systems; Generic Programming; Human Computer Interfaces; Networking; Parallel and Distributed Computing; Robotics; Worldwide computing. Troy, NY.
University of Limerick (CSIS) - Department of Computer Science and Information Systems. Research areas include computer support for cooperative work , information systems engineering, computational linguistics, computational musicology, intelligent systems, human-computer interfaces, localisation, multimedia, soft computing, and computational intelligence.
Erlangen-Nürnberg, University - Institute of Computer Science. Research areas include theoretical computer science, graph grammars, visual programming, computational linguistics, evolutionary computation, parallel and distributed systems, soft computing, fault tolerance, object oriented systems, pattern recognition, data warehousing, scientific databases, workflow management, performance evaluation, artificial intelligence, computer graphics, and simulation.
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