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Systems Research for Behavioral Science will be of interest to those in any discipline concerned with developments in science. It is addressed principally to the student of human behavior as that study is approached from the social side.Previously, the study of human behavior was the general area of science that had been slowest to respond to the exciting challenge of the modern systems outlook. Yet it is behavioral science that stands to gain the most from insights into the workings of more complex systems. The editor presents not only a fair selection of systems research in behavioral science, but also provides an extensive selection of important statements of general principles, including several already considered classics. Hence, this sourcebook may function in part as a principles text, exposing the initiate to original pioneering statements as well as later work inspired by them, and alerting the sizeable number of underexposed scholars who are over-familiar with the few terms such as feedback, boundary, input, and output, that there are much greater depths to plumb than meet the eye in semi-popular accounts of cybernetics. This volume is an overview of thinking that reflects a trend toward the system point of view. Some of the chapters are philosophical: they discuss the significance of the trend as a development in the contemporary philosophy of science. Some are inevitably detailed and technical. Still other chapters discuss the relevance of concepts that are central in the system approach, to particular fields of research. The picture that emerges is far from that of a unified theory. It is an open question whether much progress can be made by attempts to construct a "unified theory of systems" on some rigorous axiomatic base.
Complexity systems are at the heart of behavior
Systems Research for Behavioral Science will be of interest to those in any discipline concerned with developments in science. It is addressed principally to the student of human behavior as that study is approached from the social side.Previously, the study of human behavior was the general area of science that had been slowest to respond to the exciting challenge of the modern systems outlook. Yet it is behavioral science that stands to gain the most from insights into the workings of more complex systems. The editor presents not only a fair selection of systems research in behavioral science, but also provides an extensive selection of important statements of general principles, including several already considered classics. Hence, this sourcebook may function in part as a principles text, exposing the initiate to original pioneering statements as well as later work inspired by them, and alerting the sizeable number of underexposed scholars who are over-familiar with the few terms such as feedback, boundary, input, and output, that there are much greater depths to plumb than meet the eye in semi-popular accounts of cybernetics. This volume is an overview of thinking that reflects a trend toward the system point of view. Some of the chapters are philosophical: they discuss the significance of the trend as a development in the contemporary philosophy of science. Some are inevitably detailed and technical. Still other chapters discuss the relevance of concepts that are central in the system approach, to particular fields of research. The picture that emerges is far from that of a unified theory. It is an open question whether much progress can be made by attempts to construct a "unified theory of systems" on some rigorous axiomatic base.
An introduction to research methods that is designed for advanced undergraduate and beginning graduate level courses, this text emphasizes question formulation, data collection, and the interpretation of results. The author assumes the reader has completed a course in research methods and statistics.
This volume explores the scientific frontiers and leading edges of research across the fields of anthropology, economics, political science, psychology, sociology, history, business, education, geography, law, and psychiatry, as well as the newer, more specialized areas of artificial intelligence, child development, cognitive science, communications, demography, linguistics, and management and decision science. It includes recommendations concerning new resources, facilities, and programs that may be needed over the next several years to ensure rapid progress and provide a high level of returns to basic research.
Complexity Systems in the Social and Behavioral Sciences provides a sophisticated yet accessible account of complexity science or complex systems research. Phenomena in the behavioral, social, and hard sciences all exhibit certain important similarities consistent with complex systems. These include the concept of emergence, sensitivity to initial conditions, and interactions between agents in a system that yield unanticipated, nonlinear outcomes. The topics discussed range from the implications for artificial intelligence and computing to questions about how to model complex systems through agent-based modeling, to complex phenomena exhibited in international relations, and in organizational behavior. This volume will be an invaluable addition for both the general reader and the specialist, offering new insights into this fascinating area of research.
Although its roots can be traced to the 19th century, progress in the study of nonlinear dynamical systems has taken off in the last 30 years. While pertinent source material exists, it is strewn about the literature in mathematics, physics, biology, economics, and psychology at varying levels of accessibility. A compendium research methods reflect