Logical Learning Theory

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Publisher : U of Nebraska Press
ISBN 13 : 9780803239043
Total Pages : 418 pages
Book Rating : 4.2/5 (39 download)

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Book Synopsis Logical Learning Theory by : Joseph F. Rychlak

Download or read book Logical Learning Theory written by Joseph F. Rychlak and published by U of Nebraska Press. This book was released on 1994-01-01 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: In 1989, B. F. Skinner told Joseph Rychlak that the greatest disappointment resulting from the "cognitive revolution" was the turning of the human organism into a machine. Intrigued by this statement, Rychlak decided that after many years of formulation it was time to present his fundamentally teleological view of the human being, which he calls the "logical learning theory" (LLT). In this new theoretical perspective the author re-presents such concepts as intention, purpose, and free will. Significant aspects of the "mind-body" issue are explored here. Rychlak addresses teleological issues and provides a language for proper conceptualization. He uses experimental findings to support the notion of behavior as self-directed rather than mechanistic. In the process, Rychlak places LLT on the side of teleological explanation, in which concepts like free will, self-choice, purpose and intention are no longer dismissed. Rychlak compares LLT and existing formulations of behavior, including classical and operant conditioning, social learning theory, social constructionism, cognitive science, gestalt theories, and personality theories. Extensive research data and thorough discussions support Rychlak's theory. A glossary is also included.

A Logical Theory of Causality

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Publisher : MIT Press
ISBN 13 : 0262362244
Total Pages : 367 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis A Logical Theory of Causality by : Alexander Bochman

Download or read book A Logical Theory of Causality written by Alexander Bochman and published by MIT Press. This book was released on 2021-08-17 with total page 367 pages. Available in PDF, EPUB and Kindle. Book excerpt: A general formal theory of causal reasoning as a logical study of causal models, reasoning, and inference. In this book, Alexander Bochman presents a general formal theory of causal reasoning as a logical study of causal models, reasoning, and inference, basing it on a supposition that causal reasoning is not a competitor of logical reasoning but its complement for situations lacking logically sufficient data or knowledge. Bochman also explores the relationship of this theory with the popular structural equation approach to causality proposed by Judea Pearl and explores several applications ranging from artificial intelligence to legal theory, including abduction, counterfactuals, actual and proximate causality, dynamic causal models, and reasoning about action and change in artificial intelligence. As logical preparation, before introducing causal concepts, Bochman describes an alternative, situation-based semantics for classical logic that provides a better understanding of what can be captured by purely logical means. He then presents another prerequisite, outlining those parts of a general theory of nonmonotonic reasoning that are relevant to his own theory. These two components provide a logical background for the main, two-tier formalism of the causal calculus that serves as the formal basis of his theory. He presents the main causal formalism of the book as a natural generalization of classical logic that allows for causal reasoning. This provides a formal background for subsequent chapters. Finally, Bochman presents a generalization of causal reasoning to dynamic domains.

Encyclopedia of the Sciences of Learning

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Publisher : Springer Science & Business Media
ISBN 13 : 1441914277
Total Pages : 3643 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Encyclopedia of the Sciences of Learning by : Norbert M. Seel

Download or read book Encyclopedia of the Sciences of Learning written by Norbert M. Seel and published by Springer Science & Business Media. This book was released on 2011-10-05 with total page 3643 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the past century, educational psychologists and researchers have posited many theories to explain how individuals learn, i.e. how they acquire, organize and deploy knowledge and skills. The 20th century can be considered the century of psychology on learning and related fields of interest (such as motivation, cognition, metacognition etc.) and it is fascinating to see the various mainstreams of learning, remembered and forgotten over the 20th century and note that basic assumptions of early theories survived several paradigm shifts of psychology and epistemology. Beyond folk psychology and its naïve theories of learning, psychological learning theories can be grouped into some basic categories, such as behaviorist learning theories, connectionist learning theories, cognitive learning theories, constructivist learning theories, and social learning theories. Learning theories are not limited to psychology and related fields of interest but rather we can find the topic of learning in various disciplines, such as philosophy and epistemology, education, information science, biology, and – as a result of the emergence of computer technologies – especially also in the field of computer sciences and artificial intelligence. As a consequence, machine learning struck a chord in the 1980s and became an important field of the learning sciences in general. As the learning sciences became more specialized and complex, the various fields of interest were widely spread and separated from each other; as a consequence, even presently, there is no comprehensive overview of the sciences of learning or the central theoretical concepts and vocabulary on which researchers rely. The Encyclopedia of the Sciences of Learning provides an up-to-date, broad and authoritative coverage of the specific terms mostly used in the sciences of learning and its related fields, including relevant areas of instruction, pedagogy, cognitive sciences, and especially machine learning and knowledge engineering. This modern compendium will be an indispensable source of information for scientists, educators, engineers, and technical staff active in all fields of learning. More specifically, the Encyclopedia provides fast access to the most relevant theoretical terms provides up-to-date, broad and authoritative coverage of the most important theories within the various fields of the learning sciences and adjacent sciences and communication technologies; supplies clear and precise explanations of the theoretical terms, cross-references to related entries and up-to-date references to important research and publications. The Encyclopedia also contains biographical entries of individuals who have substantially contributed to the sciences of learning; the entries are written by a distinguished panel of researchers in the various fields of the learning sciences.

Reliable Reasoning

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Publisher : MIT Press
ISBN 13 : 0262263157
Total Pages : 119 pages
Book Rating : 4.2/5 (622 download)

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Book Synopsis Reliable Reasoning by : Gilbert Harman

Download or read book Reliable Reasoning written by Gilbert Harman and published by MIT Press. This book was released on 2012-01-13 with total page 119 pages. Available in PDF, EPUB and Kindle. Book excerpt: The implications for philosophy and cognitive science of developments in statistical learning theory. In Reliable Reasoning, Gilbert Harman and Sanjeev Kulkarni—a philosopher and an engineer—argue that philosophy and cognitive science can benefit from statistical learning theory (SLT), the theory that lies behind recent advances in machine learning. The philosophical problem of induction, for example, is in part about the reliability of inductive reasoning, where the reliability of a method is measured by its statistically expected percentage of errors—a central topic in SLT. After discussing philosophical attempts to evade the problem of induction, Harman and Kulkarni provide an admirably clear account of the basic framework of SLT and its implications for inductive reasoning. They explain the Vapnik-Chervonenkis (VC) dimension of a set of hypotheses and distinguish two kinds of inductive reasoning. The authors discuss various topics in machine learning, including nearest-neighbor methods, neural networks, and support vector machines. Finally, they describe transductive reasoning and suggest possible new models of human reasoning suggested by developments in SLT.

Ways of Learning

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Publisher : Routledge
ISBN 13 : 1317917626
Total Pages : 154 pages
Book Rating : 4.3/5 (179 download)

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Book Synopsis Ways of Learning by : Alan Pritchard

Download or read book Ways of Learning written by Alan Pritchard and published by Routledge. This book was released on 2013-12-04 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt: Whilst most teachers are skilled in providing opportunities for the progression of children’s learning, it is often without fully understanding the theory behind it. With greater insight into what is currently known about the processes of learning and about individual learning preferences, teachers are better equipped to provide effective experiences and situations which are more likely to lead to lasting attainment. Now fully updated, Ways of Learning seeks to provide an understanding of the ways in which learning takes place, which teachers can make use of in their planning and teaching, including: An overview of learning Behaviourism and the beginning of theory Cognitive and constructivist learning Multiple intelligences Learning styles Difficulties with learning The influence of neuro-psychology Relating theory to practice The third edition of this book includes developments in areas covered in the first and second editions, as well as expanding on certain topics to bring about a wider perspective; most noticeably a newly updated and fully expanded chapter on the influence of neuro-educational research. The book also reflects changes in government policy and is closely related to new developments in practice. Written for trainee teachers, serving teachers, and others interested in learning for various reasons, Ways of Learning serves as a valuable introduction for students setting out on higher degree work who are in need of an introduction to the topic.

Does Mathematical Study Develop Logical Thinking?: Testing The Theory Of Formal Discipline

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Publisher : World Scientific
ISBN 13 : 1786340704
Total Pages : 204 pages
Book Rating : 4.7/5 (863 download)

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Book Synopsis Does Mathematical Study Develop Logical Thinking?: Testing The Theory Of Formal Discipline by : Matthew Inglis

Download or read book Does Mathematical Study Develop Logical Thinking?: Testing The Theory Of Formal Discipline written by Matthew Inglis and published by World Scientific. This book was released on 2016-09-06 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: For centuries, educational policymakers have believed that studying mathematics is important, in part because it develops general thinking skills that are useful throughout life. This 'Theory of Formal Discipline' (TFD) has been used as a justification for mathematics education globally. Despite this, few empirical studies have directly investigated the issue, and those which have showed mixed results.Does Mathematical Study Develop Logical Thinking? describes a rigorous investigation of the TFD. It reviews the theory's history and prior research on the topic, followed by reports on a series of recent empirical studies. It argues that, contrary to the position held by sceptics, advanced mathematical study does develop certain general thinking skills, however these are much more restricted than those typically claimed by TFD proponents.Perfect for students, researchers and policymakers in education, further education and mathematics, this book provides much needed insight into the theory and practice of the foundations of modern educational policy.

Probability Theory

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Author :
Publisher : Allied Publishers
ISBN 13 : 9788177644517
Total Pages : 436 pages
Book Rating : 4.6/5 (445 download)

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Book Synopsis Probability Theory by :

Download or read book Probability Theory written by and published by Allied Publishers. This book was released on 2013 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: Probability theory

Learning Theory

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Publisher : Springer Science & Business Media
ISBN 13 : 3540352945
Total Pages : 667 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Learning Theory by : Gábor Lugosi

Download or read book Learning Theory written by Gábor Lugosi and published by Springer Science & Business Media. This book was released on 2006-06-12 with total page 667 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 19th Annual Conference on Learning Theory, COLT 2006, held in Pittsburgh, Pennsylvania, USA in June 2006. The 43 revised full papers presented together with 2 articles on open problems and 3 invited lectures were carefully reviewed and selected from a total of 102 submissions. The papers cover a wide range of topics including clustering, un- and semisupervised learning, statistical learning theory, regularized learning and kernel methods, query learning and teaching, inductive inference, learning algorithms and limitations on learning, online aggregation, online prediction and reinforcement learning.

Personality and Life-Style of Young Male Managers

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Publisher : Elsevier
ISBN 13 : 1483260399
Total Pages : 317 pages
Book Rating : 4.4/5 (832 download)

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Book Synopsis Personality and Life-Style of Young Male Managers by : Joseph F. Rychlak

Download or read book Personality and Life-Style of Young Male Managers written by Joseph F. Rychlak and published by Elsevier. This book was released on 2013-10-22 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: Personality and Life-Style of Young Male Managers: A Logical Learning Theory Analysis presets the teleological theory of behavior wherein individuals are presumed to be agents of their behavior rather than the mere mediators or conduits of influences funneling into their cognitive processes. This book provides the basic data of the longitudinal study that involve personal interviews and independent personality measures drawn from objective and projective tests. Organized into two parts encompassing 17 chapters, this book begins with an overview of the basic research design, instrumentation, and the broader implications of scientific description and theoretical observations in the context of empirical proof. This text then reviews the fundamental findings of the longitudinal investigation. Other chapters consider the religious–humanism life theme as one of the vivid indicants that a man would be well adjusted in personality. This book discusses as well the types of men who continued to involve themselves on the parental–familial life theme are intelligent, self-confident, and prone to be leaders. The final chapter deals with the service life theme, which seem to take all the types of personality patterns. This book is a valuable resource for psychologists and research workers.

Logical and Relational Learning

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Publisher : Springer Science & Business Media
ISBN 13 : 3540200401
Total Pages : 395 pages
Book Rating : 4.5/5 (42 download)

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Book Synopsis Logical and Relational Learning by : Luc De Raedt

Download or read book Logical and Relational Learning written by Luc De Raedt and published by Springer Science & Business Media. This book was released on 2008-09-12 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: This first textbook on multi-relational data mining and inductive logic programming provides a complete overview of the field. It is self-contained and easily accessible for graduate students and practitioners of data mining and machine learning.

Principles of Machine Learning

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Publisher : Springer Nature
ISBN 13 : 9819753333
Total Pages : 548 pages
Book Rating : 4.8/5 (197 download)

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Book Synopsis Principles of Machine Learning by : Wenmin Wang

Download or read book Principles of Machine Learning written by Wenmin Wang and published by Springer Nature. This book was released on with total page 548 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Multiple Intelligences

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Publisher : Basic Books
ISBN 13 : 9780465018222
Total Pages : 320 pages
Book Rating : 4.0/5 (182 download)

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Book Synopsis Multiple Intelligences by : Howard E. Gardner

Download or read book Multiple Intelligences written by Howard E. Gardner and published by Basic Books. This book was released on 1993 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Howard Gardner's brilliant conception of individual competence is changing the face of education today. In the ten years since the publication of his seminal Frames of Mind , thousands of educators, parents, and researchers have explored the practical implications of Multiple Intelligences (MI) theory—the powerful notion that there are separate human capacities, ranging from musical intelligence to the intelligence involved in understanding oneself. Multiple Intelligences: The Theory in Practice brings together previously published and original work by Gardner and his colleagues at Project Zero to provide a coherent picture of what we have learned about the educational applications of MI theory from projects in schools and formal research over the last decade.

Algorithmic Learning Theory

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Publisher : Springer
ISBN 13 : 3540302158
Total Pages : 519 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Algorithmic Learning Theory by : Shai Ben David

Download or read book Algorithmic Learning Theory written by Shai Ben David and published by Springer. This book was released on 2004-09-24 with total page 519 pages. Available in PDF, EPUB and Kindle. Book excerpt: Algorithmic learning theory is mathematics about computer programs which learn from experience. This involves considerable interaction between various mathematical disciplines including theory of computation, statistics, and c- binatorics. There is also considerable interaction with the practical, empirical ?elds of machine and statistical learning in which a principal aim is to predict, from past data about phenomena, useful features of future data from the same phenomena. The papers in this volume cover a broad range of topics of current research in the ?eld of algorithmic learning theory. We have divided the 29 technical, contributed papers in this volume into eight categories (corresponding to eight sessions) re?ecting this broad range. The categories featured are Inductive Inf- ence, Approximate Optimization Algorithms, Online Sequence Prediction, S- tistical Analysis of Unlabeled Data, PAC Learning & Boosting, Statistical - pervisedLearning,LogicBasedLearning,andQuery&ReinforcementLearning. Below we give a brief overview of the ?eld, placing each of these topics in the general context of the ?eld. Formal models of automated learning re?ect various facets of the wide range of activities that can be viewed as learning. A ?rst dichotomy is between viewing learning as an inde?nite process and viewing it as a ?nite activity with a de?ned termination. Inductive Inference models focus on inde?nite learning processes, requiring only eventual success of the learner to converge to a satisfactory conclusion.

Experiential Learning

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Publisher : Pearson Education
ISBN 13 : 0133892409
Total Pages : 417 pages
Book Rating : 4.1/5 (338 download)

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Book Synopsis Experiential Learning by : David A. Kolb

Download or read book Experiential Learning written by David A. Kolb and published by Pearson Education. This book was released on 2015 with total page 417 pages. Available in PDF, EPUB and Kindle. Book excerpt: Experiential learning is a powerful and proven approach to teaching and learning that is based on one incontrovertible reality: people learn best through experience. Now, in this extensively updated book, David A. Kolb offers a systematic and up-to-date statement of the theory of experiential learning and its modern applications to education, work, and adult development. Experiential Learning, Second Edition builds on the intellectual origins of experiential learning as defined by figures such as John Dewey, Kurt Lewin, Jean Piaget, and L.S. Vygotsky, while also reflecting three full decades of research and practice since the classic first edition. Kolb models the underlying structures of the learning process based on the latest insights in psychology, philosophy, and physiology. Building on his comprehensive structural model, he offers an exceptionally useful typology of individual learning styles and corresponding structures of knowledge in different academic disciplines and careers. Kolb also applies experiential learning to higher education and lifelong learning, especially with regard to adult education. This edition reviews recent applications and uses of experiential learning, updates Kolb's framework to address the current organizational and educational landscape, and features current examples of experiential learning both in the field and in the classroom. It will be an indispensable resource for everyone who wants to promote more effective learning: in higher education, training, organizational development, lifelong learning environments, and online.

Logic for Mathematicians

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Publisher : Courier Dover Publications
ISBN 13 : 0486468984
Total Pages : 587 pages
Book Rating : 4.4/5 (864 download)

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Book Synopsis Logic for Mathematicians by : J. Barkley Rosser

Download or read book Logic for Mathematicians written by J. Barkley Rosser and published by Courier Dover Publications. This book was released on 2008-12-18 with total page 587 pages. Available in PDF, EPUB and Kindle. Book excerpt: Examination of essential topics and theorems assumes no background in logic. "Undoubtedly a major addition to the literature of mathematical logic." — Bulletin of the American Mathematical Society. 1978 edition.

Algorithmic Learning Theory

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Publisher : Springer Science & Business Media
ISBN 13 : 354065013X
Total Pages : 450 pages
Book Rating : 4.5/5 (46 download)

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Book Synopsis Algorithmic Learning Theory by : Michael M. Richter

Download or read book Algorithmic Learning Theory written by Michael M. Richter and published by Springer Science & Business Media. This book was released on 1998 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains all the papers presented at the Ninth International Con- rence on Algorithmic Learning Theory (ALT’98), held at the European education centre Europ ̈aisches Bildungszentrum (ebz) Otzenhausen, Germany, October 8{ 10, 1998. The Conference was sponsored by the Japanese Society for Arti cial Intelligence (JSAI) and the University of Kaiserslautern. Thirty-four papers on all aspects of algorithmic learning theory and related areas were submitted, all electronically. Twenty-six papers were accepted by the program committee based on originality, quality, and relevance to the theory of machine learning. Additionally, three invited talks presented by Akira Maruoka of Tohoku University, Arun Sharma of the University of New South Wales, and Stefan Wrobel from GMD, respectively, were featured at the conference. We would like to express our sincere gratitude to our invited speakers for sharing with us their insights on new and exciting developments in their areas of research. This conference is the ninth in a series of annual meetings established in 1990. The ALT series focuses on all areas related to algorithmic learning theory including (but not limited to): the theory of machine learning, the design and analysis of learning algorithms, computational logic of/for machine discovery, inductive inference of recursive functions and recursively enumerable languages, learning via queries, learning by arti cial and biological neural networks, pattern recognition, learning by analogy, statistical learning, Bayesian/MDL estimation, inductive logic programming, robotics, application of learning to databases, and gene analyses.

Learning Theories

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Publisher : Bloomsbury Publishing USA
ISBN 13 : 0313011494
Total Pages : 265 pages
Book Rating : 4.3/5 (13 download)

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Book Synopsis Learning Theories by : David C. Leonard

Download or read book Learning Theories written by David C. Leonard and published by Bloomsbury Publishing USA. This book was released on 2002-12-30 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: Swift changes in educational technology are transforming the landscape of our society and how we transfer knowledge in a digital world. Teachers, administrators, and education students need to stay abreast of these developments. Yet while the new educational software, technologies, and networks may be available, the learning theories and methods required to take complete advantage of the tools are often neglected. Learning theories are a crucial element of education studies for anyone involved with students from pre-school to higher education and business training. This book is a substantive dictionary of over 500 terms relating to learning theories and environments. Definitions range from approximately 100 to 700 words, and each term is identified by the primary type of learning theory to which it applies: cognitivism, constructivism, behaviorism, humanism, or organizational learning. An annotated bibliography provides further resources to the most important writings about learning theories.