Symbolic Integration
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| Author | : Manuel Bronstein |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 311 |
| Release | : 2013-03-14 |
| Genre | : Mathematics |
| ISBN | : 3662033860 |
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 | : Ron Sun |
| Publisher | : Psychology Press |
| Total Pages | : 391 |
| Release | : 2013-04-15 |
| Genre | : Psychology |
| ISBN | : 1134802064 |
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 | : Arnold R. Krommer |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 366 |
| Release | : 1994-09-28 |
| Genre | : Computers |
| ISBN | : 9783540584100 |
The topics in this volume constitute a fitting tribute by distinguished physicists and mathematicians. They cover strings, conformal field theories, W and Virasoro algebras, topological field theory, quantum groups, vertex and Hopf algebras, and non-commutative geometry. The relatively long contributions are pedagogical in style and address students as well as scientists.
| Author | : John Fordyce Markey |
| Publisher | : |
| Total Pages | : 218 |
| Release | : 1928 |
| Genre | : Behaviorism (Psychology). |
| ISBN | : |
| Author | : John F. Markey |
| Publisher | : Routledge |
| Total Pages | : 212 |
| Release | : 2013-11-05 |
| Genre | : Medical |
| ISBN | : 1136348360 |
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 | : Fred Senese |
| Publisher | : John Wiley & Sons |
| Total Pages | : 403 |
| Release | : 2018-08-24 |
| Genre | : Science |
| ISBN | : 1119273234 |
An essential guide to using Maxima, a popular open source symbolic mathematics engine to solve problems, build models, analyze data and explore fundamental concepts Symbolic Mathematics for Chemists offers students of chemistry a guide to Maxima, a popular open source symbolic mathematics engine that can be used to solve problems, build models, analyze data, and explore fundamental chemistry concepts. The author — a noted expert in the field — focuses on the analysis of experimental data obtained in a laboratory setting and the fitting of data and modeling experiments. The text contains a wide variety of illustrative examples and applications in physical chemistry, quantitative analysis and instrumental techniques. Designed as a practical resource, the book is organized around a series of worksheets that are provided in a companion website. Each worksheet has clearly defined goals and learning objectives and a detailed abstract that provides motivation and context for the material. This important resource: Offers an text that shows how to use popular symbolic mathematics engines to solve problems Includes a series of worksheet that are prepared in Maxima Contains step-by-step instructions written in clear terms and includes illustrative examples to enhance critical thinking, creative problem solving and the ability to connect concepts in chemistry Offers hints and case studies that help to master the basics while proficient users are offered more advanced avenues for exploration Written for advanced undergraduate and graduate students in chemistry and instructors looking to enhance their lecture or lab course with symbolic mathematics materials, Symbolic Mathematics for Chemists: A Guide for Maxima Users is an essential resource for solving and exploring quantitative problems in chemistry.
| Author | : Joel M. Charon |
| Publisher | : Prentice Hall |
| Total Pages | : 0 |
| Release | : 2004 |
| Genre | : Symbolic interactionism |
| ISBN | : 9780131114791 |
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 | : Arnold R. Krommer |
| Publisher | : SIAM |
| Total Pages | : 449 |
| Release | : 1998-01-01 |
| Genre | : Mathematics |
| ISBN | : 0898713749 |
This survey covers a wide range of topics fundamental to calculating integrals on computer systems and discusses both the theoretical and computational aspects of numerical and symbolic methods. It includes extensive sections on one- and multidimensional integration formulas, like polynomial, number-theoretic, and pseudorandom formulas, and deals with issues concerning the construction of numerical integration algorithms.
| Author | : Ellis Horowitz |
| Publisher | : |
| Total Pages | : 288 |
| Release | : 1970 |
| Genre | : Algorithms |
| ISBN | : |
| Author | : P. Hitzler |
| Publisher | : IOS Press |
| Total Pages | : 410 |
| Release | : 2022-01-19 |
| Genre | : Computers |
| ISBN | : 1643682458 |
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.
