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Author: Stephen M. Colarelli
Publisher: University of Chicago Press
ISBN: 022612715X
Category : Business & Economics
Languages : en
Pages : 373
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Book Description
When biological theories were used to understand behavior in the early 20th century, they were often poorly understood. Ideas about race, ethnicity, and IQ, and notions of social Darwinism, were based on a misunderstanding and an incomplete understanding of genetics and Darwin s theory of evolution by natural selection. Now, however, a biological understanding of social behavior is an integral part of modern science, and increasingly used in the study of behavior in organizations. Yet, compared with other explanatory paradigms in organizational behavior, biological and evolutionary approaches are still relatively rare. "The Biological Foundations of Organizational Behavior" provides accessible insights for scholars and practitioners in management and organizational behavior into what biology can offer their fields. Chapters contain enough background to orient readers who may have little knowledge of biology, and provide substantive contributions to advancing understanding of specific areas of biology and human behavior in organizations. They also show how the addition of biological theory and research to organizational-behavior scholarship will increase its explanatory and predictive power and contribute to its scientific foundations."
Author: Stephen M. Colarelli
Publisher: University of Chicago Press
ISBN: 022612715X
Category : Business & Economics
Languages : en
Pages : 373
Get Book Here
Book Description
When biological theories were used to understand behavior in the early 20th century, they were often poorly understood. Ideas about race, ethnicity, and IQ, and notions of social Darwinism, were based on a misunderstanding and an incomplete understanding of genetics and Darwin s theory of evolution by natural selection. Now, however, a biological understanding of social behavior is an integral part of modern science, and increasingly used in the study of behavior in organizations. Yet, compared with other explanatory paradigms in organizational behavior, biological and evolutionary approaches are still relatively rare. "The Biological Foundations of Organizational Behavior" provides accessible insights for scholars and practitioners in management and organizational behavior into what biology can offer their fields. Chapters contain enough background to orient readers who may have little knowledge of biology, and provide substantive contributions to advancing understanding of specific areas of biology and human behavior in organizations. They also show how the addition of biological theory and research to organizational-behavior scholarship will increase its explanatory and predictive power and contribute to its scientific foundations."
Author: Robert Plutchik
Publisher: Academic Press
ISBN: 1483269647
Category : Psychology
Languages : en
Pages : 453
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Book Description
Biological Foundations of Emotion is a detailed account of the relations between brain structure, functions, and emotions based on the results of experimental work and theoretical modeling. A range of issues are examined, such as whether there are structures, circuits, or biochemical events in the brain that control emotional expressions or experience; the effects of lesions and electrical stimulation on emotions; and the role of genetics in the expression of emotion. Comprised of 16 chapters, this volume begins with a presentation of general models of brain functioning. The first chapter deals with the neural substrate for emotion and cites evidence showing that the conventional concept of a limbic system underlying all emotions is not adequate. The discussion then turns to ethological and evolutionary factors of emotion, with emphasis on neuroendocrine patterns of emotional response; ictal symptoms relating to the nature of affects and their cerebral substrate; the anatomy of emotions; and neural systems involved in emotion in primates. Subsequent chapters present different but overlapping brain models of aggression and examine the role of biochemistry in understanding emotions. This book will be of interest to biologists and psychologists.
Author: Hendrik Gommer
Publisher: Createspace Independent Pub
ISBN: 9781461094050
Category : Law
Languages : en
Pages : 188
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Book Description
Our brain is a fractal structure that can grow thanks to some genes that contain a code, a formula that generates this structure. The basis of evolutionary sociology is that our brain will prompt behavior that is to the benefit of the spreading of our genes. Although people are unaware of it, they generally behave in ways that optimize the reproduction of their genes. Because they need resources from their environment (in the broadest sense of the word), they will show behavior that is conducive to procuring or securing as many resources as possible. To accomplish this mis-sion, people, being social animals, work together. The older parts of our brain (older in an evolutionary sense) make cooperation possible by means of emotion. The younger parts make it possible to formulate rules that reflect these emotions. In other words, these rules derive from factual, biological mechanisms. People experience these rules as “normative,” and as “ethical,” but even so, these rules are products of evolution. We, that is our brains, formulate them because they help our genes to spread. This, in a nutshell, is the biological theory of law as described in this book. Although philosophers of law and even sociobiologists are reluctant to concur that norms can be justified by biological mechanisms, this is what it takes to make a major step forward in the integration of biology, psychology, sociology, anthropology, and law.This book is a legalist's implicit answer to the ideas of Charles Darwin, Richard Dawkins, Richard Alexander, James Q. Wilson, Daniel Dennet, Matt Ridley, Frans de Waal, and other sociobiologists. By introducing fractals and important aspects of law, it further enhances our insights in human behavior. Free riders by heart use law to improve their reproduction, and thus feel happy.
Author: Edgar Howard Mercer
Publisher: John Wiley & Sons
ISBN:
Category : Science
Languages : en
Pages : 256
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Book Description
Author: Walter M. Elsasser
Publisher: Elsevier
ISBN: 1483154955
Category : Nature
Languages : en
Pages : 230
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Book Description
The Physical Foundation of Biology: An Analytical Study offers a detailed account of the relationship between physics and biology. The discussion is based on a threefold development in theoretical science: the theory of automata (often designated as computers); the theory of information (mainly developed in communication engineering); and the theory of microscopic measurement in the atomic and molecular domain (based largely on quantum mechanics). This book is comprised of five chapters and begins with an overview of the physical foundation of biology, paying particular attention to preformationism and the theory of epigenesis. The first chapter explores feedback and control by comparing the control apparatus of a more differentiated organism, the nervous system, with the corresponding achievements of electronic engineering. The reader is then introduced to the theory of information, focusing on the idea that certain quantitative aspects of the information content of messages can be separated from the specific physical features of the device sending the message. The following chapters deal with the importance of storage or memory devices for a complex functional mechanism; the compatibility of biotonic laws with the ordinary laws of physics; and physical interpretation of the theory of microscopic processes. This monograph will be of interest to physicists, biologists, and chemists.
Author: Alfred J. Lotka
Publisher: Springer Science & Business Media
ISBN: 1475791763
Category : Social Science
Languages : en
Pages : 266
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Book Description
In the 50 years that have passed since Alfred Latka's death in 1949 his position as the father of mathematical demography has been secure. With his first demographic papers in 1907 and 1911 (the latter co authored with F. R. Sharpe) he laid the foundations for stable population theory, and over the next decades both largely completed it and found convenient mathematical approximations that gave it practical applica tions. Since his time, the field has moved in several directions he did not foresee, but in the main it is still his. Despite Latka's stature, however, the reader still needs to hunt through the old journals to locate his principal works. As yet no exten sive collections of his papers are in print, and for his part he never as sembled his contributions into a single volume in English. He did so in French, in the two part Theorie Analytique des Associations Biologiques (1934, 1939). Drawing on his Elements of Physical Biology (1925) and most of his mathematical papers, Latka offered French readers insights into his biological thought and a concise and mathematically accessible summary of what he called recent contributions in demographic analy sis. We would be accurate in also calling it Latka's contributions in demographic analysis.
Author: Brian Munsky
Publisher: MIT Press
ISBN: 0262347113
Category : Science
Languages : en
Pages : 729
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Book Description
An introduction to the quantitative modeling of biological processes, presenting modeling approaches, methodology, practical algorithms, software tools, and examples of current research. The quantitative modeling of biological processes promises to expand biological research from a science of observation and discovery to one of rigorous prediction and quantitative analysis. The rapidly growing field of quantitative biology seeks to use biology's emerging technological and computational capabilities to model biological processes. This textbook offers an introduction to the theory, methods, and tools of quantitative biology. The book first introduces the foundations of biological modeling, focusing on some of the most widely used formalisms. It then presents essential methodology for model-guided analyses of biological data, covering such methods as network reconstruction, uncertainty quantification, and experimental design; practical algorithms and software packages for modeling biological systems; and specific examples of current quantitative biology research and related specialized methods. Most chapters offer problems, progressing from simple to complex, that test the reader's mastery of such key techniques as deterministic and stochastic simulations and data analysis. Many chapters include snippets of code that can be used to recreate analyses and generate figures related to the text. Examples are presented in the three popular computing languages: Matlab, R, and Python. A variety of online resources supplement the the text. The editors are long-time organizers of the Annual q-bio Summer School, which was founded in 2007. Through the school, the editors have helped to train more than 400 visiting students in Los Alamos, NM, Santa Fe, NM, San Diego, CA, Albuquerque, NM, and Fort Collins, CO. This book is inspired by the school's curricula, and most of the contributors have participated in the school as students, lecturers, or both. Contributors John H. Abel, Roberto Bertolusso, Daniela Besozzi, Michael L. Blinov, Clive G. Bowsher, Fiona A. Chandra, Paolo Cazzaniga, Bryan C. Daniels, Bernie J. Daigle, Jr., Maciej Dobrzynski, Jonathan P. Doye, Brian Drawert, Sean Fancer, Gareth W. Fearnley, Dirk Fey, Zachary Fox, Ramon Grima, Andreas Hellander, Stefan Hellander, David Hofmann, Damian Hernandez, William S. Hlavacek, Jianjun Huang, Tomasz Jetka, Dongya Jia, Mohit Kumar Jolly, Boris N. Kholodenko, Markek Kimmel, Michał Komorowski, Ganhui Lan, Heeseob Lee, Herbert Levine, Leslie M Loew, Jason G. Lomnitz, Ard A. Louis, Grant Lythe, Carmen Molina-París, Ion I. Moraru, Andrew Mugler, Brian Munsky, Joe Natale, Ilya Nemenman, Karol Nienałtowski, Marco S. Nobile, Maria Nowicka, Sarah Olson, Alan S. Perelson, Linda R. Petzold, Sreenivasan Ponnambalam, Arya Pourzanjani, Ruy M. Ribeiro, William Raymond, William Raymond, Herbert M. Sauro, Michael A. Savageau, Abhyudai Singh, James C. Schaff, Boris M. Slepchenko, Thomas R. Sokolowski, Petr Šulc, Andrea Tangherloni, Pieter Rein ten Wolde, Philipp Thomas, Karen Tkach Tuzman, Lev S. Tsimring, Dan Vasilescu, Margaritis Voliotis, Lisa Weber
Author: Sunny Y. Auyang
Publisher: Cambridge University Press
ISBN: 9780521778268
Category : Business & Economics
Languages : en
Pages : 422
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Book Description
Analyzes approaches to the study of complexity in the physical, biological, and social sciences.
Author: Jane Maienschein
Publisher: Cambridge University Press
ISBN: 9780521559232
Category : Medical
Languages : en
Pages : 348
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Book Description
This collection of essays focuses on the connection between biology and questions in ethics.
Author: Tim Lewens
Publisher:
ISBN: 0198712650
Category : Medical
Languages : en
Pages : 235
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Book Description
Much recent thought on the ethics of new biomedical technologies, and work in ethics and political philosophy more generally, is committed to hidden and contestable views about the nature of biological reality. This selection of essays by Tim Lewens, a leading expert in the field, teases out these biological foundations of bioethical writing and subjects them to scrutiny. The topics covered include human enhancement, the risks of technical progress, the alleged moral threat of synthetic biology, the reality of human nature, the relevance of evolutionary psychology to social policy, the nature of the distinction between health and disease, and justice in healthcare decision-making.
