書本目錄:
  • 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).