Evolutionary Causation

Evolutionary Causation
Author: Tobias Uller
Publisher: MIT Press
Total Pages: 361
Release: 2019-09-03
Genre: Science
ISBN: 0262039923

A comprehensive treatment of the concept of causation in evolutionary biology that makes clear its central role in both historical and contemporary debates. Most scientific explanations are causal. This is certainly the case in evolutionary biology, which seeks to explain the diversity of life and the adaptive fit between organisms and their surroundings. The nature of causation in evolutionary biology, however, is contentious. How causation is understood shapes the structure of evolutionary theory, and historical and contemporary debates in evolutionary biology have revolved around the nature of causation. Despite its centrality, and differing views on the subject, the major conceptual issues regarding the nature of causation in evolutionary biology are rarely addressed. This volume fills the gap, bringing together biologists and philosophers to offer a comprehensive, interdisciplinary treatment of evolutionary causation. Contributors first address biological motivations for rethinking evolutionary causation, considering the ways in which development, extra-genetic inheritance, and niche construction challenge notions of cause and process in evolution, and describing how alternative representations of evolutionary causation can shed light on a range of evolutionary problems. Contributors then analyze evolutionary causation from a philosophical perspective, considering such topics as causal entanglement, the commingling of organism and environment, and the relationship between causation and information. Contributors John A. Baker, Lynn Chiu, David I. Dayan, Renée A. Duckworth, Marcus W Feldman, Susan A. Foster, Melissa A. Graham, Heikki Helanterä, Kevin N. Laland, Armin P. Moczek, John Odling-Smee, Jun Otsuka, Massimo Pigliucci, Arnaud Pocheville, Arlin Stoltzfus, Karola Stotz, Sonia E. Sultan, Christoph Thies, Tobias Uller, Denis M. Walsh, Richard A. Watson

Mechanism and Causality in Biology and Economics

Mechanism and Causality in Biology and Economics
Author: Hsiang-Ke Chao
Publisher: Springer Science & Business Media
Total Pages: 256
Release: 2013-07-31
Genre: Philosophy
ISBN: 9400724543

This volume addresses fundamental issues in the philosophy of science in the context of two most intriguing fields: biology and economics. Written by authorities and experts in the philosophy of biology and economics, Mechanism and Causality in Biology and Economics provides a structured study of the concepts of mechanism and causality in these disciplines and draws careful juxtapositions between philosophical apparatus and scientific practice. By exploring the issues that are most salient to the contemporary philosophies of biology and economics and by presenting comparative analyses, the book serves as a platform not only for gaining mutual understanding between scientists and philosophers of the life sciences and those of the social sciences, but also for sharing interdisciplinary research that combines both philosophical concepts in both fields. The book begins by defining the concepts of mechanism and causality in biology and economics, respectively. The second and third parts investigate philosophical perspectives of various causal and mechanistic issues in scientific practice in the two fields. These two sections include chapters on causal issues in the theory of evolution; experiments and scientific discovery; representation of causal relations and mechanism by models in economics. The concluding section presents interdisciplinary studies of various topics concerning extrapolation of life sciences and social sciences, including chapters on the philosophical investigation of conjoining biological and economic analyses with, respectively, demography, medicine and sociology.

A Theory of Causation in the Social and Biological Sciences

A Theory of Causation in the Social and Biological Sciences
Author: A. Reutlinger
Publisher: Springer
Total Pages: 160
Release: 2013-03-18
Genre: Science
ISBN: 1137281049

This first full length treatment of interventionist theories of causation in the social sciences, the biological sciences and other higher-level sciences the presents original counter arguments to recent trends in the debate and serves as useful introduction to the subject.

The Oxford Handbook of Causation

The Oxford Handbook of Causation
Author: Helen Beebee
Publisher: OUP Oxford
Total Pages: 816
Release: 2012-01-12
Genre: Philosophy
ISBN: 0191629464

Causation is a central topic in many areas of philosophy. In metaphysics, philosophers want to know what causation is, and how it is related to laws of nature, probability, action, and freedom of the will. In epistemology, philosophers investigate how causal claims can be inferred from statistical data, and how causation is related to perception, knowledge and explanation. In the philosophy of mind, philosophers want to know whether and how the mind can be said to have causal efficacy, and in ethics, whether there is a moral distinction between acts and omissions and whether the moral value of an act can be judged according to its consequences. And causation is a contested concept in other fields of enquiry, such as biology, physics, and the law. This book provides an in-depth and comprehensive overview of these and other topics, as well as the history of the causation debate from the ancient Greeks to the logical empiricists. The chapters provide surveys of contemporary debates, while often also advancing novel and controversial claims; and each includes a comprehensive bibliography and suggestions for further reading. The book is thus the most comprehensive source of information about causation currently available, and will be invaluable for upper-level undergraduates through to professional philosophers.

Downward Causation

Downward Causation
Author: Peter Bøgh Andersen
Publisher:
Total Pages: 366
Release: 2000
Genre: Philosophy
ISBN:

Downward causation is found in two-level and multi-level systems with complex behaviour generated by many components interacting in a simple or complex way. The term was coined by the social psychologist and philosopher Donald T. Campbell, who asked the question: If many small-scale interactions can create emergent large-scale patterns, can large-scale patterns re-influence the small-scale interactions that generated them? This has led to many further questions, among them: Does the cell as a system reorganise the biochemical processes inside it in a new way? Do psychosomatic illnesses exist? Can life change biochemical laws? Can mind change the body? The chapters in this comprehensive book address these questions from the viewpoints of different disciplines. Part 1 contains a classification of positions regarding 'downward causation', Part 2 covers physics, Part 3 covers biology and psychology, Part 4 covers social and communicative systems, and Part 5 covers general philosophy.

Cause and Correlation in Biology

Cause and Correlation in Biology
Author: Bill Shipley
Publisher: Cambridge University Press
Total Pages: 330
Release: 2002-08
Genre: Mathematics
ISBN: 9780521529211

This book goes beyond the truism that 'correlation does not imply causation' and explores the logical and methodological relationships between correlation and causation. It presents a series of statistical methods that can test, and potentially discover, cause-effect relationships between variables in situations in which it is not possible to conduct randomised or experimentally controlled experiments. Many of these methods are quite new and most are generally unknown to biologists. In addition to describing how to conduct these statistical tests, the book also puts the methods into historical context and explains when they can and cannot justifiably be used to test or discover causal claims. Written in a conversational style that minimises technical jargon, the book is aimed at practising biologists and advanced students, and assumes only a very basic knowledge of introductory statistics.

Causality in the Sciences

Causality in the Sciences
Author: Phyllis McKay Illari
Publisher: Oxford University Press
Total Pages: 953
Release: 2011-03-17
Genre: Mathematics
ISBN: 0199574138

Why do ideas of how mechanisms relate to causality and probability differ so much across the sciences? Can progress in understanding the tools of causal inference in some sciences lead to progress in others? This book tackles these questions and others concerning the use of causality in the sciences.

Theory-Based Data Analysis for the Social Sciences

Theory-Based Data Analysis for the Social Sciences
Author: Carol S. Aneshensel
Publisher: SAGE
Total Pages: 473
Release: 2013
Genre: Reference
ISBN: 1412994357

This book presents the elaboration model for the multivariate analysis of observational quantitative data. This model entails the systematic introduction of "third variables" to the analysis of a focal relationship between one independent and one dependent variable to ascertain whether an inference of causality is justified. Two complementary strategies are used: an exclusionary strategy that rules out alternative explanations such as spuriousness and redundancy with competing theories, and an inclusive strategy that connects the focal relationship to a network of other relationships, including the hypothesized causal mechanisms linking the focal independent variable to the focal dependent variable. The primary emphasis is on the translation of theory into a logical analytic strategy and the interpretation of results. The elaboration model is applied with case studies drawn from newly published research that serve as prototypes for aligning theory and the data analytic plan used to test it; these studies are drawn from a wide range of substantive topics in the social sciences, such as emotion management in the workplace, subjective age identification during the transition to adulthood, and the relationship between religious and paranormal beliefs. The second application of the elaboration model is in the form of original data analysis presented in two Analysis Journals that are integrated throughout the text and implement the full elaboration model. Using real data, not contrived examples, the text provides a step-by-step guide through the process of integrating theory with data analysis in order to arrive at meaningful answers to research questions.

Causality

Causality
Author: Judea Pearl
Publisher: Cambridge University Press
Total Pages: 487
Release: 2009-09-14
Genre: Computers
ISBN: 052189560X

Causality offers the first comprehensive coverage of causal analysis in many sciences, including recent advances using graphical methods. Pearl presents a unified account of the probabilistic, manipulative, counterfactual and structural approaches to causation, and devises simple mathematical tools for analyzing the relationships between causal connections, statistical associations, actions and observations. The book will open the way for including causal analysis in the standard curriculum of statistics, artificial intelligence ...

A Tale of Two Cultures

A Tale of Two Cultures
Author: Gary Goertz
Publisher: Princeton University Press
Total Pages: 248
Release: 2012-09-09
Genre: Political Science
ISBN: 0691149712

Some in the social sciences argue that the same logic applies to both qualitative and quantitative methods. In A Tale of Two Cultures, Gary Goertz and James Mahoney demonstrate that these two paradigms constitute different cultures, each internally coherent yet marked by contrasting norms, practices, and toolkits. They identify and discuss major differences between these two traditions that touch nearly every aspect of social science research, including design, goals, causal effects and models, concepts and measurement, data analysis, and case selection. Although focused on the differences between qualitative and quantitative research, Goertz and Mahoney also seek to promote toleration, exchange, and learning by enabling scholars to think beyond their own culture and see an alternative scientific worldview. This book is written in an easily accessible style and features a host of real-world examples to illustrate methodological points.