Quantifying empirical support for theories of consciousness: a tentative methodological framework

Area of Science:

• Neuroscience
• Philosophy of Mind
• Cognitive Science

Background:

• Understanding consciousness is key to human nature.
• Numerous competing theories of consciousness exist, often assuming empirical evidence will resolve debates.
• The practical application of empirical evidence in resolving consciousness theory debates remains unclear.

Purpose of the Study:

• To propose a methodology for quantifying empirical support for different theories of consciousness.
• To provide a foundation for inference to the best explanation using Bayesian confirmation theory.
• To facilitate the identification and focus on the most promising theories in consciousness studies.

Main Methods:

• Developing a methodology to quantify divergent empirical support for consciousness theories.
• Applying principles of Bayesian confirmation theory for inference to the best explanation.
• Establishing a framework for assessing and comparing extant theories.

Main Results:

• A novel methodology for quantifying empirical support for theories of consciousness is presented.
• The proposed method offers a structured approach to comparing competing theories.
• This quantification serves as a first step toward a more rigorous evaluation process.

Conclusions:

• A practical method is needed to evaluate competing theories of consciousness.
• Quantifying empirical support is essential for advancing consciousness studies.
• The proposed methodology offers a novel approach to assessing theories of consciousness.