Logical Learning Theory PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Logical Learning Theory PDF full book. Access full book title Logical Learning Theory by Joseph F. Rychlak. Download full books in PDF and EPUB format.
Author: Joseph F. Rychlak
Publisher: U of Nebraska Press
ISBN: 9780803239043
Category : Psychology
Languages : en
Pages : 418
Get Book Here
Book Description
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.
Author: Joseph F. Rychlak
Publisher: U of Nebraska Press
ISBN: 9780803239043
Category : Psychology
Languages : en
Pages : 418
Get Book Here
Book Description
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.
Author: Alexander Bochman
Publisher: MIT Press
ISBN: 0262362244
Category : Computers
Languages : en
Pages : 367
Get Book Here
Book Description
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.
Author: H. William Dettmer
Publisher: Quality Press
ISBN: 0873895894
Category : Business & Economics
Languages : en
Pages : 452
Get Book Here
Book Description
A major rewrite of Dettmer's classic Goldratt's Theory of Constraints, this new edition presents a whole new approach to building and applying logic trees. The logical thinking process referred to in the title is nothing less than a broadly applicable, systems-level approach to policy analysis. Dettmer has streamlined the process of constructing the logic trees while simultaneously ensuring that the results are more logically sound and closer representations of reality than ever before. He explains an easier, more logically sound way to integrate Current Reality Trees with Evaporating Clouds. His new version of the thinking process "retires" the Transition Tree in favor of the marriage of a more detailed Prerequisite Tree and critical chain project management. This book contains new examples of logic trees from a variety of real-world applications. Most of the diagrams and illustrations are new and improved. Explanations and procedures for constructing the logic trees are considerably simplified.
Author: Gilbert Harman
Publisher: MIT Press
ISBN: 0262517345
Category : Psychology
Languages : en
Pages : 119
Get Book Here
Book Description
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.
Author: Hans Ulrich Simon
Publisher: Springer
ISBN: 3540352961
Category : Computers
Languages : en
Pages : 667
Get Book Here
Book Description
This book constitutes the refereed proceedings of the 19th Annual Conference on Learning Theory, COLT 2006, held in Pittsburgh, Pennsylvania, USA, June 2006. The book presents 43 revised full papers together with 2 articles on open problems and 3 invited lectures. The papers cover a wide range of topics including clustering, un- and semi-supervised learning, statistical learning theory, regularized learning and kernel methods, query learning and teaching, inductive inference, and more.
Author: J. Barkley Rosser
Publisher: Courier Dover Publications
ISBN: 0486468984
Category : Mathematics
Languages : en
Pages : 587
Get Book Here
Book Description
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.
Author: Norbert M. Seel
Publisher: Springer Science & Business Media
ISBN: 1441914277
Category : Education
Languages : en
Pages : 3643
Get Book Here
Book Description
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.
Author: Matthew Inglis
Publisher: World Scientific
ISBN: 1786340704
Category : Mathematics
Languages : en
Pages : 204
Get Book Here
Book Description
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.
Author: Henning Pätzold
Publisher: Verlag Barbara Budrich
ISBN: 3866496354
Category : Education
Languages : en
Pages : 132
Get Book Here
Book Description
Learning is a key issue in education. Being familiar with contemporary learning theory, therefore, is an essential prerequisite for education scholars and practitioners alike.
Author: David A. Kolb
Publisher: Pearson Education
ISBN: 0133892409
Category : Business & Economics
Languages : en
Pages : 417
Get Book Here
Book Description
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.
