In this classic work, three eminent scientists expose and dismantle the claims that class, race, and gender inequalities are the products of our biological and genetic inheritances. Not in Our Genes provides a bold and biting critique of biological determinism and sociobiology. In refuting the claim that what individuals can and cannot do is fixed, in essence, by their genetic makeup, the authors offer an important reply to an argument raging far beyond the scientific world and widely affecting our society and our lives. This edition features a new introduction by the authors.

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Computers And Thought by Edward A. Feigenbaum is a comprehensive book that explores the relationship between computers and human thought. The book delves into the history of computer science and artificial intelligence, and how these fields have impacted our understanding of human cognition. It also examines the ways in which computers have been used to model human thought processes, and how these models have been applied to various fields such as psychology, linguistics, and philosophy.Feigenbaum discusses the different approaches to artificial intelligence, including rule-based systems, expert systems, and neural networks. He also explores the limitations of these approaches and the challenges of creating truly intelligent machines. The book includes case studies of successful applications of artificial intelligence, such as the development of chess-playing programs and natural language processing systems.The author also addresses ethical and philosophical questions related to artificial intelligence, such as the possibility of machines surpassing human intelligence and the implications of this for society. He argues that while computers can simulate human thought processes, they cannot replicate the full range of human experience and consciousness.Overall, Computers And Thought is a thought-provoking and informative book that provides a comprehensive overview of the relationship between computers and human thought. It is a valuable resource for anyone interested in the history and future of artificial intelligence and its impact on society.This scarce antiquarian book is a facsimile reprint of the old original and may contain some imperfections such as library marks and notations. Because we believe this work is culturally important, we have made it available as part of our commitment for protecting, preserving, and promoting the world's literature in affordable, high quality, modern editions, that are true to their original work.

Louis Guttman’s pioneering work on scaling theory is cited in Science (1971) as one of 62 major advances in the social sciences in this century, together with those of Freud, Pavlov, Weber, Keynes and others. Scaling theory led Guttman to develop his non-metric methods for data analysis and facet theory, his crowning contribution. Drawing on a large number of periodicals, books and unpublished papers, this volume offers a representative overview of Guttman’s work and demonstrates its utility for cumulative theory-development in sociology, psychology, education, statistics and other disciplines. The basis of facet-theory, and its applications in fields such as social attitudes and intelligence testing, are presented first-hand. Surprising as it may sound, Guttman’s main interest was in theory rather than method. In fact, he saw the two as inseparable, arguing that 'the form of data analysis is part of the hypothesis'.

Tamar Gendler draws together a series of essays in which she investigates philosophical methodology, and shows the value for philosophy of empirical psychology. Three intertwined themes run through the volume: imagination, intuition and philosophical methodology: Gendler explores how we engage with subject matter that we take to be imaginary.

No detailed description available for "From Anxiety to Method in the Behavioral Sciences".

Originally published in 1925, when it was published, this book was intended to give an up to date, concise account of the aim and methods of science with regards to Psychology. It contains chapters on various scientific methods such as the Evolutionary or Genetic Method, the Method of Difference and The Method of Residues, and chapters on probability and the laws of nature.

This volume contains the English translation of Felix Kaufmann's (1895-1945) main work Methodenlehre der Sozialwissenschaften (1936). In this book, Kaufmann develops a general theory of knowledge of the social sciences in his role as a cross-border commuter between Husserl's phenomenology, Kelsen's pure theory of law and the logical positivism of the Vienna Circle. This multilayered inquiry connects the value-oriented reflections of a general philosophy of science with the specificity of the methods and theories of the social sciences, as opposed to abstract natural science and psychology. The core focus of the study is the attempt to elucidate how and under what conditions scientific knowledge about social facts, empirically justified and theoretically embedded, can be obtained. The empirical basis of knowledge within the social sciences forms a phenomenological concept of experience. According to Kaufmann, this concept of experience exhibits a complex structure. Within the meaning-interpretation of human action as the core of knowledge in the social sciences, this structure reaches out across the isolated act of verification toward the synthesis of external and internal experiences. The book opens with a detailed and useful introduction by Ingeborg K. Helling, which introduces the historical and theoretical background of Kaufmann's study and specifically illuminates his relation to Alfred Schütz and John Dewey. Finally, it contains interviews with and letters to members of his family, colleagues and students.