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Extrapolating animal consciousness.
1Université du Québec à Trois-Rivières, Département de philosophie et des arts, 3351, boul. des Forges, Trois-Rivières, Québec, G8Z 4M3, Canada.
Studies in History and Philosophy of Science
|March 23, 2024
Summary
Investigating animal consciousness requires validating experimental models. This approach uses comparative analysis and evidence from applications, avoiding bias from specific consciousness theories.
Area of Science:
- Neuroscience
- Animal Cognition
- Philosophy of Mind
Background:
- The study of animal consciousness faces challenges in validating experimental findings.
- Existing approaches may be influenced by theoretical biases regarding consciousness.
Purpose of the Study:
- To propose a novel methodology for assessing animal consciousness.
- To address the extrapolation problem in animal consciousness research.
- To provide a theory-neutral framework for interpreting empirical data.
Main Methods:
- Applying established methods for validating experimental models.
- Assessing similarities and dissimilarities between different animal models.
- Utilizing partial replication of findings across complementary models.
- Analyzing successes and failures of derived explanations, technologies, and medical applications.
Main Results:
- The proposed methodology offers a robust framework for studying animal consciousness.
- This approach mitigates theory-biased interpretations of empirical findings.
- It allows for aggregation of findings from multiple models.
Conclusions:
- The extrapolation problem in animal consciousness is best addressed by validating experimental models.
- This methodology provides a reliable, theory-neutral approach to animal consciousness research.
- It facilitates a more objective understanding of animal cognition and subjective experience.
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