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Titlebook: Integrating Symbolic Mathematical Computation and Artificial Intelligence; Second International Jacques Calmet,John A. Campbell Conference

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书目名称Integrating Symbolic Mathematical Computation and Artificial Intelligence
副标题Second International
编辑Jacques Calmet,John A. Campbell
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Integrating Symbolic Mathematical Computation and Artificial Intelligence; Second International Jacques Calmet,John A. Campbell Conference
描述This volume contains thoroughly revised full versions of the best papers presented at the Second International Conference on Artificial Intelligence and Sympolic Mathematical Computation, held in Cambridge, UK in August 1994..The 19 papers included give clear evidence that now, after a quite long period when AI and mathematics appeared to have arranged an amicable separation, these fields are growing together again as an area of fruitful interdisciplinary activities. This book explores the interaction between mathematical computation and clears the ground for future concentration on topics that can further unify the field.
出版日期Conference proceedings 1995
关键词Adaptive Algorithms; Adaptive Algortihmen; Computer Algebra; Computeralgebra; Regelbasiertes Schließen; R
版次1
doihttps://doi.org/10.1007/3-540-60156-2
isbn_softcover978-3-540-60156-2
isbn_ebook978-3-540-49533-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 1995
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978-3-540-60156-2Springer-Verlag Berlin Heidelberg 1995
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Integrating Symbolic Mathematical Computation and Artificial Intelligence978-3-540-49533-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Conference proceedings 1995nd Sympolic Mathematical Computation, held in Cambridge, UK in August 1994..The 19 papers included give clear evidence that now, after a quite long period when AI and mathematics appeared to have arranged an amicable separation, these fields are growing together again as an area of fruitful interdis
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Algebraic specification of empirical inductive learning methods based on rough sets and matroid theies between these methods clearly. In this paper, we compare three classical methods, AQ, Pawlak‘s Consistent Rules and ID3. The results show that there exists the differences in algebraic structure between the former two and the latter and that this causes the differences between AQ and ID3.
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