Symbolic Integration I

Author : Manuel Bronstein
Publisher : Springer Science & Business Media
Page : 311 pages
File Size : 43,9 Mb
Release : 2013-03-14
Category : Mathematics
ISBN : 9783662033869

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Symbolic Integration I by Manuel Bronstein Pdf

This first volume in the series "Algorithms and Computation in Mathematics", is destined to become the standard reference work in the field. Manuel Bronstein is the number-one expert on this topic and his book is the first to treat the subject both comprehensively and in sufficient detail - incorporating new results along the way. The book addresses mathematicians and computer scientists interested in symbolic computation, developers and programmers of computer algebra systems as well as users of symbolic integration methods. Many algorithms are given in pseudocode ready for immediate implementation, making the book equally suitable as a textbook for lecture courses on symbolic integration.

Author : Manuel Bronstein
Publisher : Springer
Page : 328 pages
File Size : 52,7 Mb
Release : 2004-09-30
Category : Mathematics
ISBN : 3540214933

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Symbolic Integration I by Manuel Bronstein Pdf

First edition received rave reviews The second edition offers a new chapter on parallel integration Includes additional exercises

Author : Manuel Bronstein
Publisher : Unknown
Page : 299 pages
File Size : 49,5 Mb
Release : 1997
Category : Electronic
ISBN : OCLC:494827773

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Symbolic Integration I-Transcendental Functions by Manuel Bronstein Pdf

Author : John F Markey
Publisher : Routledge
Page : 205 pages
File Size : 47,6 Mb
Release : 2013-11-05
Category : Medical
ISBN : 9781136348297

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The Symbolic Process and Its Integration In Children by John F Markey Pdf

This is Volume VII of seven in a collection on Social Psychology. Originally published in 1928, the study looks at the origin of the symbolic process and "thinking" in individuals. The main task of this book is an explanation of the social processes in the genesis, integration, and functioning of symbols.

Author : Jürgen Gerhard
Publisher : Springer Science & Business Media
Page : 232 pages
File Size : 54,9 Mb
Release : 2004-12
Category : Computers
ISBN : 9783540240617

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Modular Algorithms in Symbolic Summation and Symbolic Integration by Jürgen Gerhard Pdf

This book brings together two streams of computer algebra: symbolic summation and integration on the one hand, and fast algorithmics on the other hand. In symbolic integration and summation, not too many algorithms with analyzed run times are known, and until now the mathematically oriented world of integration and summation and the computer science world of algorithm analysis have not had much to say to each other. The progress presented in this work towards overcoming this situation is threefold: - a clear framework for algorithm analysis with the appropriate parameters is provided, - modular algorithmic techniques are introduced in this area, and - almost optimal algorithms are presented for the basic problems.

Author : Ron Sun,Frederic Alexandre
Publisher : Psychology Press
Page : 394 pages
File Size : 55,7 Mb
Release : 2013-04-15
Category : Psychology
ISBN : 9781134802135

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Connectionist-Symbolic Integration by Ron Sun,Frederic Alexandre Pdf

A variety of ideas, approaches, and techniques exist -- in terms of both architecture and learning -- and this abundance seems to lead to many exciting possibilities in terms of theoretical advances and application potentials. Despite the apparent diversity, there is clearly an underlying unifying theme: architectures that bring together symbolic and connectionist models to achieve a synthesis and synergy of the two different paradigms, and the learning and knowledge acquisition methods for developing such architectures. More effort needs to be extended to exploit the possibilities and opportunities in this area. This book is the outgrowth of The IJCAI Workshop on Connectionist-Symbolic Integration: From Unified to Hybrid Approaches, held in conjunction with the fourteenth International Joint Conference on Artificial Intelligence (IJCAI '95). Featuring various presentations and discussions, this two-day workshop brought to light many new ideas, controversies, and syntheses which lead to the present volume. This book is concerned with the development, analysis, and application of hybrid connectionist-symbolic models in artificial intelligence and cognitive science. Drawing contributions from a large international group of experts, it describes and compares a variety of models in this area. The types of models discussed cover a wide range of the evolving spectrum of hybrid models, thus serving as a well-balanced progress report on the state of the art. As such, this volume provides an information clearinghouse for various proposed approaches and models that share the common belief that connectionist and symbolic models can be usefully combined and integrated, and such integration may lead to significant advances in understanding intelligence.

Author : Joel M. Charon
Publisher : Prentice Hall
Page : 0 pages
File Size : 52,9 Mb
Release : 2004
Category : Symbolic interactionism
ISBN : 0131114794

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Symbolic Interactionism by Joel M. Charon Pdf

Using a unique step-by-step,integrated approach, this book organizes the basic concepts of symbolic interactionism in such a way that readers understand them clearly and are able toapply them to their own lives. It emphasizes the active side of human beings-humans as definers and users of the environment, humans as problem solvers and in control of their own actions-and it shows students how society makes us, and how we in turn shape society. Each chapter examines a single concept, but relates that concept to the whole perspective and to other concepts in the perspective. Chapter titles include The Perspective of Social Science, Symbolic Interactionism as a Perspective, The Meaning of the Symbol, The Importance of the Symbol, The Nature of Self, The Human Mind, Taking the Role of the Other, Human Action, Social Interaction, and Society. For individuals interested in the study of social psychology and/or social theory.

Author : P. Hitzler
Publisher : IOS Press
Page : 410 pages
File Size : 45,8 Mb
Release : 2022-01-19
Category : Computers
ISBN : 9781643682457

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Neuro-Symbolic Artificial Intelligence: The State of the Art by P. Hitzler Pdf

Neuro-symbolic AI is an emerging subfield of Artificial Intelligence that brings together two hitherto distinct approaches. ”Neuro” refers to the artificial neural networks prominent in machine learning, ”symbolic” refers to algorithmic processing on the level of meaningful symbols, prominent in knowledge representation. In the past, these two fields of AI have been largely separate, with very little crossover, but the so-called “third wave” of AI is now bringing them together. This book, Neuro-Symbolic Artificial Intelligence: The State of the Art, provides an overview of this development in AI. The two approaches differ significantly in terms of their strengths and weaknesses and, from a cognitive-science perspective, there is a question as to how a neural system can perform symbol manipulation, and how the representational differences between these two approaches can be bridged. The book presents 17 overview papers, all by authors who have made significant contributions in the past few years and starting with a historic overview first seen in 2016. With just seven months elapsed from invitation to authors to final copy, the book is as up-to-date as a published overview of this subject can be. Based on the editors’ own desire to understand the current state of the art, this book reflects the breadth and depth of the latest developments in neuro-symbolic AI, and will be of interest to students, researchers, and all those working in the field of Artificial Intelligence.

Author : Artur S. d'Avila Garcez,Krysia B. Broda,Dov M. Gabbay
Publisher : Springer Science & Business Media
Page : 276 pages
File Size : 43,5 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781447102113

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Neural-Symbolic Learning Systems by Artur S. d'Avila Garcez,Krysia B. Broda,Dov M. Gabbay Pdf

Artificial Intelligence is concerned with producing devices that help or replace human beings in their daily activities. Neural-symbolic learning systems play a central role in this task by combining, and trying to benefit from, the advantages of both the neural and symbolic paradigms of artificial intelligence. This book provides a comprehensive introduction to the field of neural-symbolic learning systems, and an invaluable overview of the latest research issues in this area. It is divided into three sections, covering the main topics of neural-symbolic integration - theoretical advances in knowledge representation and learning, knowledge extraction from trained neural networks, and inconsistency handling in neural-symbolic systems. Each section provides a balance of theory and practice, giving the results of applications using real-world problems in areas such as DNA sequence analysis, power systems fault diagnosis, and software requirements specifications. Neural-Symbolic Learning Systems will be invaluable reading for researchers and graduate students in Engineering, Computing Science, Artificial Intelligence, Machine Learning and Neurocomputing. It will also be of interest to Intelligent Systems practitioners and anyone interested in applications of hybrid artificial intelligence systems.

Author : Michael O'Neill,Conor Ryan
Publisher : Springer Science & Business Media
Page : 157 pages
File Size : 48,8 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461504474

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Grammatical Evolution by Michael O'Neill,Conor Ryan Pdf

Grammatical Evolution: Evolutionary Automatic Programming in an Arbitrary Language provides the first comprehensive introduction to Grammatical Evolution, a novel approach to Genetic Programming that adopts principles from molecular biology in a simple and useful manner, coupled with the use of grammars to specify legal structures in a search. Grammatical Evolution's rich modularity gives a unique flexibility, making it possible to use alternative search strategies - whether evolutionary, deterministic or some other approach - and to even radically change its behavior by merely changing the grammar supplied. This approach to Genetic Programming represents a powerful new weapon in the Machine Learning toolkit that can be applied to a diverse set of problem domains.

Author : John Fordyce Markey
Publisher : Unknown
Page : 218 pages
File Size : 51,5 Mb
Release : 1928
Category : Behaviorism (Psychology).
ISBN : UOM:39015066423313

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The Symbolic Process and Its Integration in Children by John Fordyce Markey Pdf

Author : Paul J. Nahin
Publisher : Springer Nature
Page : 542 pages
File Size : 52,5 Mb
Release : 2020-06-27
Category : Science
ISBN : 9783030437886

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Inside Interesting Integrals by Paul J. Nahin Pdf

What’s the point of calculating definite integrals since you can’t possibly do them all? What makes doing the specific integrals in this book of value aren’t the specific answers we’ll obtain, but rather the methods we’ll use in obtaining those answers; methods you can use for evaluating the integrals you will encounter in the future. This book, now in its second edition, is written in a light-hearted manner for students who have completed the first year of college or high school AP calculus and have just a bit of exposure to the concept of a differential equation. Every result is fully derived. If you are fascinated by definite integrals, then this is a book for you. New material in the second edition includes 25 new challenge problems and solutions, 25 new worked examples, simplified derivations, and additional historical discussion.

Author : Artur S. D'Avila Garcez,Luís C. Lamb,Dov M. Gabbay
Publisher : Springer Science & Business Media
Page : 200 pages
File Size : 52,9 Mb
Release : 2009
Category : Computers
ISBN : 9783540732457

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Neural-Symbolic Cognitive Reasoning by Artur S. D'Avila Garcez,Luís C. Lamb,Dov M. Gabbay Pdf

This book explores why, regarding practical reasoning, humans are sometimes still faster than artificial intelligence systems. It is the first to offer a self-contained presentation of neural network models for many computer science logics.

Author : Carsten Schneider,Johannes Blümlein
Publisher : Springer Science & Business Media
Page : 422 pages
File Size : 55,6 Mb
Release : 2013-10-05
Category : Science
ISBN : 9783709116166

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Computer Algebra in Quantum Field Theory by Carsten Schneider,Johannes Blümlein Pdf

The book focuses on advanced computer algebra methods and special functions that have striking applications in the context of quantum field theory. It presents the state of the art and new methods for (infinite) multiple sums, multiple integrals, in particular Feynman integrals, difference and differential equations in the format of survey articles. The presented techniques emerge from interdisciplinary fields: mathematics, computer science and theoretical physics; the articles are written by mathematicians and physicists with the goal that both groups can learn from the other field, including most recent developments. Besides that, the collection of articles also serves as an up-to-date handbook of available algorithms/software that are commonly used or might be useful in the fields of mathematics, physics or other sciences.

Author : Jürgen Gerhard
Publisher : Springer
Page : 228 pages
File Size : 45,7 Mb
Release : 2004-11-12
Category : Computers
ISBN : 9783540301370

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Modular Algorithms in Symbolic Summation and Symbolic Integration by Jürgen Gerhard Pdf

This work brings together two streams in computer algebra: symbolic integration and summation on the one hand, and fast algorithmics on the other hand. In many algorithmically oriented areas of computer science, theanalysisof- gorithms–placedintothe limelightbyDonKnuth’stalkat the 1970ICM –provides a crystal-clear criterion for success. The researcher who designs an algorithmthat is faster (asymptotically, in the worst case) than any previous method receives instant grati?cation: her result will be recognized as valuable. Alas, the downside is that such results come along quite infrequently, despite our best efforts. An alternative evaluation method is to run a new algorithm on examples; this has its obvious problems, but is sometimes the best we can do. George Collins, one of the fathers of computer algebra and a great experimenter,wrote in 1969: “I think this demonstrates again that a simple analysis is often more revealing than a ream of empirical data (although both are important). ” Within computer algebra, some areas have traditionally followed the former methodology, notably some parts of polynomial algebra and linear algebra. Other areas, such as polynomial system solving, have not yet been amenable to this - proach. The usual “input size” parameters of computer science seem inadequate, and although some natural “geometric” parameters have been identi?ed (solution dimension, regularity), not all (potential) major progress can be expressed in this framework. Symbolic integration and summation have been in a similar state.