Microfilm Abstracts
Microfilm Abstracts

Author:

Publisher:

Published: 1949

Total Pages: 774

ISBN-13:

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A collection of abstracts of doctoral dissertations (and monographs) which are available in complete form on microfilm.

Learning to Reason
Learning to Reason

Author: Nancy Rodgers

Publisher: John Wiley & Sons

Published: 2011-09-15

Total Pages: 457

ISBN-13: 1118165705

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Learn how to develop your reasoning skills and how to writewell-reasoned proofs Learning to Reason shows you how to use the basic elements ofmathematical language to develop highly sophisticated, logicalreasoning skills. You'll get clear, concise, easy-to-followinstructions on the process of writing proofs, including thenecessary reasoning techniques and syntax for constructingwell-written arguments. Through in-depth coverage of logic, sets,and relations, Learning to Reason offers a meaningful, integratedview of modern mathematics, cuts through confusing terms and ideas,and provides a much-needed bridge to advanced work in mathematicsas well as computer science. Original, inspiring, and designed formaximum comprehension, this remarkable book: * Clearly explains how to write compound sentences in equivalentforms and use them in valid arguments * Presents simple techniques on how to structure your thinking andwriting to form well-reasoned proofs * Reinforces these techniques through a survey of sets--thebuilding blocks of mathematics * Examines the fundamental types of relations, which is "where theaction is" in mathematics * Provides relevant examples and class-tested exercises designed tomaximize the learning experience * Includes a mind-building game/exercise space atwww.wiley.com/products/subject/mathematics/

Neural Machines: A Defense of Non-Representationalism in Cognitive Neuroscience
Neural Machines: A Defense of Non-Representationalism in Cognitive Neuroscience

Author: Matej Kohár

Publisher: Springer Nature

Published: 2023-03-09

Total Pages: 199

ISBN-13: 303126746X

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In this book, Matej Kohar demonstrates how the new mechanistic account of explanation can be used to support a non-representationalist view of explanations in cognitive neuroscience, and therefore can bring new conceptual tools to the non-representationalist arsenal. Kohar focuses on the explanatory relevance of representational content in constitutive mechanistic explanations typical in cognitive neuroscience. The work significantly contributes to two areas of literature: 1) the debate between representationalism and non-representationalism, and 2) the literature on mechanistic explanation. Kohar begins with an introduction to the mechanistic theory of explanation, focusing on the analysis of mechanistic constitution as the basis of explanatory relevance in constitutive mechanistic explanation. He argues that any viable analysis of representational contents implies that content is not constitutively relevant to cognitive phenomena. The author also addresses objections against his argument and concludes with an examination of the consequences of his account for both traditional cognitive neuroscience and non-representationalist alternatives. This book is of interest to readers in philosophy of mind, cognitive science and neuroscience.

Metareasoning
Metareasoning

Author: Michael T. Cox

Publisher: MIT Press

Published: 2011

Total Pages: 349

ISBN-13: 0262014807

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Experts report on the latest artificial intelligence research concerning reasoning about reasoning itself.

Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Symbolic and Quantitative Approaches to Reasoning with Uncertainty

Author: Salem Benferhat

Publisher: Springer

Published: 2003-06-30

Total Pages: 832

ISBN-13: 3540446524

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This book constitutes the refereed proceedings of the 6th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2001, held in Toulouse, France in September 2001. The 68 revised full papers presented together with three invited papers were carefully reviewed and selected from over a hundred submissions. The book offers topical sections on decision theory, partially observable Markov decision processes, decision-making, coherent probabilities, Bayesian networks, learning causal networks, graphical representation of uncertainty, imprecise probabilities, belief functions, fuzzy sets and rough sets, possibility theory, merging, belief revision and preferences, inconsistency handling, default logic, logic programming, etc.

Routledge Encyclopaedia of Educational Thinkers
Routledge Encyclopaedia of Educational Thinkers

Author: Joy A. Palmer Cooper

Publisher: Routledge

Published: 2016-05-20

Total Pages: 644

ISBN-13: 1317576985

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The Routledge Encyclopaedia of Educational Thinkers comprises 128 essays by leading scholars analysing the most important, influential, innovative and interesting thinkers on education of all time. Each of the chronologically arranged entries explores why a particular thinker is significant for those who study education and explores the social, historical and political contexts in which the thinker worked. Ranging from Confucius and Montessori to Dewey and Edward de Bono, the entries form concise, accessible summaries of the greatest or most influential educational thinkers of past and present times. Each essay includes the following features; concise biographical information on the individual, an outline of the individual’s key achievements and activities, an assessment of their impact and influence, a list of their major writings, suggested further reading. Carefully brought together to present a balance of gender and geographical contexts as well as areas of thought and work in the broad field of education, this substantial volume provides a unique history and overview of figures who have shaped education and educational thinking throughout the world. Combining and building upon two internationally renowned volumes, this collection is deliberately broad in scope, crossing centuries, boundaries and disciplines. The Encyclopaedia therefore provides a perfect introduction to the huge range and diversity of educational thought. Offering an accessible means of understanding the emergence and development of what is currently seen in the classroom, this Encyclopaedia is an invaluable reference guide for all students of education, including undergraduates and post-graduates in education or teacher training and students of related disciplines.

Exploring Representation in Evolutionary Level Design
Exploring Representation in Evolutionary Level Design

Author: Daniel Ashlock

Publisher: Springer Nature

Published: 2022-05-31

Total Pages: 141

ISBN-13: 3031021207

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Automatic content generation is the production of content for games, web pages, or other purposes by procedural means. Search-based automatic content generation employs search-based algorithms to accomplish automatic content generation. This book presents a number of different techniques for search-based automatic content generation where the search algorithm is an evolutionary algorithm. The chapters treat puzzle design, the creation of small maps or mazes, the use of L-systems and a generalization of L-system to create terrain maps, the use of cellular automata to create maps, and, finally, the decomposition of the design problem for large, complex maps culminating in the creation of a map for a fantasy game module with designersupplied content and tactical features. The evolutionary algorithms used for the different types of content are generic and similar, with the exception of the novel sparse initialization technique are presented in Chapter 2. The points where the content generation systems vary are in the design of their fitness functions and in the way the space of objects being searched is represented. A large variety of different fitness functions are designed and explained, and similarly radically different representations are applied to the design of digital objects all of which are, essentially, maps for use in games.