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Human Thinking: The Basics provides an essential introduction into how we develop thoughts, the types of reasoning we engage in, and how our thinking can be tailored by subconscious processing. Beginning with the fundamentals, the book examines the mental processes that shape our thoughts, the trajectory of how thought evolved within the animal kingdom and the stages of development of thinking throughout childhood. Robertson insightfully explains the effectiveness of political slogans and advertisements in engaging shallow information processing and the effortful, analytical processing required in critical thinking. Delving into fascinating topics such as magical thinking in the form of religion and superstition, fake news, and motivated ignorance, the book explains the discrepancy between reality and our internal mental representations, the influence of semantics on deductive reasoning and the error-prone, yet adaptive nature of biases. Containing student-friendly features including end of chapter summaries, demonstrative puzzles, simple figures, and further reading lists, this book will be essential reading for all students of thinking and reasoning.
Covers thermostatics, equilibrium statistical thermophysics, noninteracting fermions and bosons, dielectric and magnetic systems, phase transitions, interacting particles, renormalization, irreversible processes, and fluctuations
Problem solving is an integral part of everyday life yet few books are dedicated to this important aspect of human cognition. In each case, the problem, such as solving a crossword or writing an essay, has a goal. In this comprehensive and timely textbook, the author discusses the psychological processes underlying such goal-directed problem solving, and examines both how we learn from experience of problem solving and how our learning transfers (or often fails to transfer) from one situation to another. Following initial coverage of the methods we use to solve unfamiliar problems, the book goes on to examine the psychological processes involved in novice problem solving before progressing t...
This supplementary text for applied mathematics courses where Mathematica is used in a laboratory setting, is intended to be compatible with a broad range of engineering mathematics texts, as well as smaller, more specialized texts in differential equations and complex variables. It covers topics found in courses on ordinary and partial differential equations, vector analysis, and applied complex analysis. Students are guided through a series of laboratory exercises that present cogent applications of the mathematics and demonstrate the use of Mathematica as a computational tool to do the mathematics. Relevant applications along with discussions of the results obtained combine to stimulate innovative thinking from the students about additional concepts and applications.
Types of Thinking provides a basic grounding in the psychology of thinking for undergraduate students with little previous knowledge of cognitive psychology. This clear, well-structured overview explores the practical aspects and applications of everyday thinking, creative thinking, logical and scientific thinking, intelligent thinking and machine thinking. It also explores 'failures of thinking', the biases and shortcuts that sometimes lead our thinking astray. The author tackles big ideas in an accessible manner and in an entertaining style, ensuring that Types of Thinking will be attractive not only to students but also to teachers organising and planning courses, as well as the lay reader.
An exploration of the lives and works of the members of the Beaver Hall Group. Founded in 1920, the group was in the vanguard of bringing Modernism to Canada and is notable for its inclusion of women who now rank among the country’s most outstanding painters.
A modern information retrieval system must have the capability to find, organize and present very different manifestations of information – such as text, pictures, videos or database records – any of which may be of relevance to the user. However, the concept of relevance, while seemingly intuitive, is actually hard to define, and it's even harder to model in a formal way. Lavrenko does not attempt to bring forth a new definition of relevance, nor provide arguments as to why any particular definition might be theoretically superior or more complete. Instead, he takes a widely accepted, albeit somewhat conservative definition, makes several assumptions, and from them develops a new probab...