Abstract This paper examines constraints and their role in scientific explanation. Common views in the philosophical literature suggest that constraints are non-causal and that they provide non-causal explanations. While much of this work focuses on examples from physics, this paper explores constraints from other fields, including neuroscience, physiology, and the social sciences. I argue that these cases involve constraints that are causal and that provide a unique type of causal explanation. This paper clarifies what it means for a factor to be a constraint, when such constraints are causal, and how they figure in scientific explanation. 
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                            The explanatory nature of constraints: Law-based, mathematical, and causal
                        
                    
    
            This paper provides an analysis of explanatory constraints and their role in scientific explanation. This analysis clarifies main characteristics of explanatory constraints, ways in which they differ from “standard” explanatory factors, and the unique roles they play in scientific explanation. While current philosophical work appreciates two main types of explanatory constraints, this paper suggests a new taxonomy: law-based constraints, mathematical constraints, and causal constraints. This classification helps capture unique features of constraint types, the different roles they play in explanation, and it includes causal constraints, which are often overlooked in this literature. 
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                            - Award ID(s):
- 1945647
- PAR ID:
- 10503953
- Publisher / Repository:
- Synthese
- Date Published:
- Journal Name:
- Synthese
- Volume:
- 202
- Issue:
- 2
- ISSN:
- 1573-0964
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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