Springer Verlag (2019)
AbstractThis 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.
Case Studies and Statistics in Causal Analysis: The Role of Bayesian Narratives.Maria Koumenta & Peter Abell
Introduction: Scientific Discovery in the Social Sciences.Peter Sozou, Peter Lane, Mark Addis & Fernand Gobet
Semi-Automatic Generation of Cognitive Science Theories.Peter Sozou, Peter Lane, Fernand Gobet & Mark Addis
Syntax, Semantics and the Formalisation of Social Science Theories.Petros Stefaneas, Mark Addis & Maria Dimarogkona
The Role of Imagination in Social Scientific Discovery: Why Machine Discoverers Will Need Imagination Algorithms.Michael Stuart
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