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Logical Learning Theory
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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.
Book Synopsis Logical Learning Theory by : Jennifer M. Lancaster
Download or read book Logical Learning Theory written by Jennifer M. Lancaster and published by . This book was released on 1999 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Dialectical Human Reasoning by : Greg S. Rich
Download or read book Dialectical Human Reasoning written by Greg S. Rich and published by . This book was released on 1985 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Induction, Algorithmic Learning Theory, and Philosophy by : Michèle Friend
Download or read book Induction, Algorithmic Learning Theory, and Philosophy written by Michèle Friend and published by Springer Science & Business Media. This book was released on 2007-08-21 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first book to collect essays from philosophers, mathematicians and computer scientists working at the exciting interface of algorithmic learning theory and the epistemology of science and inductive inference. Readable, introductory essays provide engaging surveys of different, complementary, and mutually inspiring approaches to the topic, both from a philosophical and a mathematical viewpoint.
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.
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.
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.
Book Synopsis Studies in Logical Theory by : John Dewey
Download or read book Studies in Logical Theory written by John Dewey and published by . This book was released on 1903 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Studies In Logical Theory by : John Dewey
Download or read book Studies In Logical Theory written by John Dewey and published by Prabhat Prakashan. This book was released on 2013-09-01 with total page 485 pages. Available in PDF, EPUB and Kindle. Book excerpt: Studies in Logical Theory by John Dewey: Studies in Logical Theory presents a collection of essays by John Dewey, one of the most influential American philosophers and educators of the 20th century. Dewey explores various aspects of logical theory, providing readers with insights into the nature of thought, inquiry, and knowledge. Key Aspects of the Book “Studies in Logical Theory”: Pragmatic Approach: Dewey's essays reflect his pragmatic philosophy, which emphasizes the practical consequences and applications of ideas. He examines logical theory in relation to everyday experiences, highlighting its relevance to problem-solving, decision-making, and the improvement of human affairs. Experimental Inquiry: Dewey promotes an experimental approach to logical theory, emphasizing the importance of observation, investigation, and empirical evidence. He explores the role of experimentation in refining logical concepts and theories, challenging traditional notions of fixed and static truths. Educational Implications: Dewey's exploration of logical theory extends to its implications for education. He discusses the importance of cultivating critical thinking skills, fostering inquiry-based learning, and creating learning environments that promote active engagement and reflective thought. John Dewey, an influential American philosopher and educator, played a pivotal role in shaping modern educational theories and progressive pedagogy. Born in 1859, Dewey believed in the power of education to foster social progress and democracy. He emphasized the importance of active learning, experiential education, and the integration of knowledge with real-life experiences. Dewey's philosophy, often referred to as pragmatism, advocated for a student-centered approach to education, where learners actively engage with their environment, collaborate with others, and apply their knowledge to solve real-world problems. He believed that education should cultivate critical thinking, creativity, and moral development, preparing individuals to be active participants in democratic societies. Throughout his career, Dewey wrote extensively on educational theory, democracy, ethics, and social philosophy. His influential works, including Democracy and Education and Experience and Education, continue to shape educational practices around the world. Dewey's ideas have had a lasting impact, influencing curriculum design, teacher training, and educational policy. Beyond his contributions to education, Dewey was also a prominent voice in political and social issues. He championed social reform, advocated for women's suffrage, and emphasized the importance of social justice and equality. Dewey's legacy lies in his commitment to humanistic education, his belief in the transformative power of education, and his dedication to creating a more inclusive and democratic society. His ideas continue to inspire educators, philosophers, and policymakers to rethink traditional educational models and embrace a more progressive and student-centered approach.
Book Synopsis On the Logic and Learning of Language by : Sean A. Fulop
Download or read book On the Logic and Learning of Language written by Sean A. Fulop and published by Trafford Publishing. This book was released on 2004 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the author's research on automatic learning procedures for categorial grammars of natural languages. The research program spans a number of intertwined disciplines, including syntax, semantics, learnability theory, logic, and computer science. The theoretical framework employed is an extension of categorial grammar that has come to be called multimodal or type-logical grammar. The first part of the book presents an expository summary of how grammatical sentences of any language can be deduced with a specially designed logical calculus that treats syntactic categories as its formulae. Some such Universal Type Logic is posited to underlie the human language faculty, and all linguistic variation is captured by the different systems of semantic and syntactic categories which are assigned in the lexicons of different languages. The remainder of the book is devoted to the explicit formal development of computer algorithms which can learn the lexicons of type logical grammars from learning samples of annotated sentences. The annotations consist of semantic terms expressed in the lambda calculus, and may also include an unlabeled tree-structuring over the sentence. The major features of the research include the following: We show how the assumption of a universal linguistic component---the logic of language---is not incompatible with the conviction that every language needs a different system of syntactic and semantic categories for its proper description. The supposedly universal linguistic categories descending from antiquity (noun, verb, etc.) are summarily discarded. Languages are here modeled as consisting primarily of sentence trees labeled with semantic structures; a new mathematical class of such term-labeled tree languages is developed which cross-cuts the well-known Chomsky hierarchy and provides a formal restrictive condition on the nature of human languages. The human language acquisition mechanism is postulated to be biased, such that it assumes all input language samples are drawn from the above "syntactically homogeneous" class; in this way, the universal features of human languages arise not just from the innate logic of language, but also from the innate biases which govern language learning. This project represents the first complete explicit attempt to model the aquisition of human language since Steve Pinker's groundbreaking 1984 publication, "Language Learnability and Language Development."
Book Synopsis Algorithmic Learning Theory by : Nicolò Cesa-Bianchi
Download or read book Algorithmic Learning Theory written by Nicolò Cesa-Bianchi and published by Springer. This book was released on 2003-08-03 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the papers presented at the 13th Annual Conference on Algorithmic Learning Theory (ALT 2002), which was held in Lub ̈ eck (Germany) during November 24–26, 2002. The main objective of the conference was to p- vide an interdisciplinary forum discussing the theoretical foundations of machine learning as well as their relevance to practical applications. The conference was colocated with the Fifth International Conference on Discovery Science (DS 2002). The volume includes 26 technical contributions which were selected by the program committee from 49 submissions. It also contains the ALT 2002 invited talks presented by Susumu Hayashi (Kobe University, Japan) on “Mathematics Based on Learning”, by John Shawe-Taylor (Royal Holloway University of L- don, UK) on “On the Eigenspectrum of the Gram Matrix and Its Relationship to the Operator Eigenspectrum”, and by Ian H. Witten (University of Waikato, New Zealand) on “Learning Structure from Sequences, with Applications in a Digital Library” (joint invited talk with DS 2002). Furthermore, this volume - cludes abstracts of the invited talks for DS 2002 presented by Gerhard Widmer (Austrian Research Institute for Arti?cial Intelligence, Vienna) on “In Search of the Horowitz Factor: Interim Report on a Musical Discovery Project” and by Rudolf Kruse (University of Magdeburg, Germany) on “Data Mining with Graphical Models”. The complete versions of these papers are published in the DS 2002 proceedings (Lecture Notes in Arti?cial Intelligence, Vol. 2534). ALT has been awarding the E.
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 2008-09-27 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.
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.
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.
Book Synopsis The Effects of Mood on Memory and Learning by : Mary L. Wandrei
Download or read book The Effects of Mood on Memory and Learning written by Mary L. Wandrei and published by . This book was released on 1992 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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.
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.
