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Published on: April 18, 2017
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Mechanism diagrams and abstraction-by-aggregation.
1Xiamen University Malaysia, Jalan Sunsuria, Bandar Sunsuria, 43900, Sepang, Selangor, Malaysia.
Summary
Mechanism diagrams visually explain biological processes. This study explores how non-depicted background knowledge, accessed through visual cues and abstraction-by-aggregation, enhances mechanistic explanations in biology.
Area of Science:
- Biological sciences
- Scientific illustration
- Epistemology of science
Background:
- Mechanism diagrams visually represent biological mechanisms and their operations.
- Existing research emphasizes mechanistic explanations and models, but the role of background knowledge is underexplored.
- The contribution of non-depicted background knowledge to biological explanations via diagrams is unclear.
Purpose of the Study:
- To explore the relationship between depicted elements in mechanism diagrams and non-depicted background knowledge.
- To articulate the process by which mechanism diagrams provide mechanistic explanations.
- To investigate how background knowledge enhances the explanatory power of mechanism diagrams in biological sciences.
Main Methods:
- Conceptual analysis of mechanism diagrams and their explanatory function.
- Articulating the process of abstraction-by-aggregation in diagrammatic explanation.
- Examining the role of visual cues in accessing background knowledge.
Main Results:
- Mechanism diagrams provide mechanistic explanations through a process termed abstraction-by-aggregation.
- Visual cues within diagrams facilitate access to relevant, non-depicted background knowledge.
- This integration of visual and background knowledge leads to better-informed mechanistic explanations.
Conclusions:
- Mechanism diagrams are powerful tools for mechanistic research in biology.
- Abstraction-by-aggregation is a key cognitive process linking visual representation and background knowledge.
- Understanding this relationship enhances the epistemic value and clarity of scientific explanations.
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