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Lessons for Theory from Scientific Domains Where Evidence is Sparse or Indirect
Marieke Woensdregt1,2,3, Riccardo Fusaroli4,5,6, Patricia Rich7
1Department of Cognitive Science and Artificial Intelligence, Radboud University, Nijmegen, The Netherlands.
Sparse and indirect evidence in science, like human cognition evolution, can be overcome. Five practices—explicit assumptions, alternative theories, modeling, external consistency, and triangulation—catalyze theory development.
Area of Science:
- Evolutionary science
- Cognitive science
- Anthropology
Background:
- Sparse and indirect empirical evidence presents significant challenges for theory development in many scientific fields.
- Theories on the evolution of human cognition serve as a key example, focusing on evolutionary processes in human ancestors.
Purpose of the Study:
- To distill virtuous practices for scientific theory development when faced with sparse or indirect evidence.
- To demonstrate how such evidence can catalyze, rather than inhibit, scientific progress.
Main Methods:
- Analysis of theoretical and empirical work in the evolution of human cognition.
- Identification and distillation of five key practices for handling limited evidence.
Main Results:
- Five virtuous practices were identified: making assumptions explicit, making alternative theories explicit, pursuing computational and formal modeling, seeking external consistency, and triangulating evidence.
- These practices can help overcome challenges posed by sparse and indirect evidence.
Conclusions:
- Sparse and indirect evidence can stimulate scientific theory development.
- The identified practices offer a framework applicable to various scientific domains facing similar evidential limitations.
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