Scientific Discovery in the Social Sciences

Produktdetails

Verlag

Springer International Publishing

Erschienen

2020

Sprache

English

Seiten

200

Infos

200 Seiten
235 mm x 155 mm

ISBN

978-3-030-23771-4

Hauptbeschreibung

This volume offers selected papers exploring issues arising from scientific discovery in the social sciences. It features a range of disciplines including behavioural sciences, computer science, finance, and statistics with an emphasis on philosophy.

The first of the three parts examines methods of social scientific discovery. Chapters investigate the nature of causal analysis, philosophical issues around scale development in behavioural science research, imagination in social scientific practice, and relationships between paradigms of inquiry and scientific fraud. The next part considers the practice of social science discovery. Chapters discuss the lack of genuine scientific discovery in finance where hypotheses concern the cheapness of securities, the logic of scientific discovery in macroeconomics, and the nature of that what discovery with the Solidarity movement as a case study. The final part covers formalising theories in social science. Chapters analyse the abstract model theory of institutions as a way of representing the structure of scientific theories, the semi-automatic generation of cognitive science theories, and computational process models in the social sciences.

The volume offers a unique perspective on scientific discovery in the social sciences. It will engage scholars and students with a multidisciplinary interest in the philosophy of science and social science.

Inhaltsverzeichnis

Chapter 1. Introduction (Fernand Gobet, Mark Addis, Peter C. R. Lane, Peter D. Sozou).- Part I: Methods of Scientific Discovery.- Chapter 2. Case Studies and Statistics in Causal Analysis: The Role of Bayesian Narratives (Peter Abell and Maria Koumenta).- Chapter 3. Scale Development in Human and Social Sciences: A Philosophical Perspective (Clayton Peterson).- Chapter 4. The Role of Imagination in Social Scientific Discovery: Why Machine Discoverers Will Need Imagination Algorithms (Michael Stuart).- Chapter 5. The Structure of Scientific Fraud: The Relationship Between Paradigms and Misconduct (Ben Trubody).- Part II: Discovery in Practice.- Chapter 6. Information in Financial Markets (Catherine Greene).- Chapter 7. The Logic of Scientific Discovery in Macroeconomics (Tobias Henschen).- Chapter 8. Discovering Solidarity: Research on Solidarity as a Case of a That-What Discovery (Jakub B. Motrenko).- Part III: Formalising Theories in Social Science.- Chapter 9. Syntax, Semantics and the Formalisation of Social Science Theories (Maria Dimarogkona, Mark Addis and Petros Stefaneas).- Chapter 10. Semi-Automatic Generation of Cognitive Science Theories (Mark Addis, Fernand Gobet, Peter C. R. Lane and Peter D. Sozou).- Chapter 11. Scientific Discovery, Process Models, and the Social Sciences (Pat Langley and Adam Arvay).

Klappentext

This volume offers selected papers exploring issues arising from scientific discovery in the social sciences. It features a range of disciplines including behavioural sciences, computer science, finance, and statistics with an emphasis on philosophy.

The first of the three parts examines methods of social scientific discovery. Chapters investigate the nature of causal analysis, philosophical issues around scale development in behavioural science research, imagination in social scientific practice, and relationships between paradigms of inquiry and scientific fraud. The next part considers the practice of social science discovery. Chapters discuss the lack of genuine scientific discovery in finance where hypotheses concern the cheapness of securities, the logic of scientific discovery in macroeconomics, and the nature of that what discovery with the Solidarity movement as a case study. The final part covers formalising theories in social science. Chapters analyse the abstract model theory of institutions as a way of representing the structure of scientific theories, the semi-automatic generation of cognitive science theories, and computational process models in the social sciences.

The volume offers a unique perspective on scientific discovery in the social sciences. It will engage scholars and students with a multidisciplinary interest in the philosophy of science and social science.

Langtext

Explores issues arising from scientific discovery in the social sciences

Features a range of disciplines with an emphasis on philosophy

Essays cover behavioural sciences, computer science, finance, and statistics

Über den AutorIn

Mark Addis is a Research Associate at the Centre for Philosophy of Natural and Social Science at the London School of Economics. He was Professor of Philosophy at Birmingham City University and a visiting professor at the Department of Culture and Society at Aarhus University. He has published in the areas of the history of analytic philosophy and the philosophies of mind and science.

Peter Lane is Senior Lecturer in Computer Science at the University of Hertfordshire. He has published in the area of learning algorithms and their applications especially with respect to cognitive architecture models of human attention and learning, machine learning theory and applications, and methodologies for the development of scientific software and models.

Peter Sozou is Research Associate at the Centre for Philosophy of Natural and Social Science at the London School of Economics and Political Science. He has published in a number of areas particularly the modellingof complex systems and decision theory.

Fernand Gobet is Professor of Cognitive Psychology at the University of Liverpool and Research Associate at the Centre for Philosophy of Natural and Social Science at the London School of Economics and Political Science. He has written four books on the psychology of expertise and talent, one book about modelling techniques, co-edited a book on problem gambling as well as publishing many articles including a substantial number in top journals.