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Cancel minimal linear grammars with a particular nonterminal symbol (Mathematical Foundations and Applications of Computer Science and Algorithms)openaire
Parallelism in Algebraic Computation and Parallel Algorithms for Symbolic Linear Systems (Mathematical Methods in Software Science and Engineering : Third Conference)openaire
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Symbolic regression in materials science via dimension-synchronous-computation
Journal of Materials Science & Technology, 2022Changxin Wang +6 more
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Symbolic mathematical computation in a Ph.D. computer science program
Proceedings of the second SIGCSE technical symposium on Education in computer science - SIGCSE '72, 1972Considering how many fools can calculate, it is surprising that it should be thought either a difficult or a tedious task for any other fool to learn how to master the same tricks....Being myself a remarkably stupid fellow,...[I] now beg to present to my fellow fools the parts that are not hard. Master these throughly and the rest will follow. What one
B. F. Caviness, G. E. Collins
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Behavioral and Brain Sciences, 1999
People often solve spatially presented cognitive problems more easily than their nonspatial counterparts. We explain this phenomenon by characterizing space as an inter-modality that provides common structure to different specific perceptual modalities. The usefulness of spatial structure for knowledge processing on different levels of granularity
Christian Freksa +2 more
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People often solve spatially presented cognitive problems more easily than their nonspatial counterparts. We explain this phenomenon by characterizing space as an inter-modality that provides common structure to different specific perceptual modalities. The usefulness of spatial structure for knowledge processing on different levels of granularity
Christian Freksa +2 more
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Hybrid computation in cognitive science: Neural networks and symbols
Applied Cognitive Psychology, 1990AbstractThe human brain seems to be a hybrid computer, partly a highly efficient, highly evolved, massively parallel ‘intuitive’ and ‘perceptual’ processor, and, partly a slow and inaccurate serial symbol manipulator. Neural network models seem compatible with the massively parallel hardware, and are probably the best current model for the parallel ...
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Computer Science between Symbolic Representation and Open Construction
2004Computer science (and AI along with it) has fundamentally different operational possibilities. Firstly, in that humans represent a problem area explicitly symbolically and put the solution of the problem into algorithm, in order to ensure a complete problem solution.
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Symbolic computation in software science
Journal of Symbolic Computation, 2019James Harold Davenport, Temur Kutsia
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2022 19th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE), 2022
Juan P. Cavazos-Carrizales +1 more
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Juan P. Cavazos-Carrizales +1 more
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Communications on Applied Nonlinear Analysis
In the physical world, many real systems are governed by nonlinear partial differential equations from fluid dynamics and plasma phyasics to shallow-water waves and oceanographic systems. There is no uniform approach for solving nonlinear partial differential equations; consequently, we consider each equation as a separate problem.
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In the physical world, many real systems are governed by nonlinear partial differential equations from fluid dynamics and plasma phyasics to shallow-water waves and oceanographic systems. There is no uniform approach for solving nonlinear partial differential equations; consequently, we consider each equation as a separate problem.
openaire +1 more source