Creating a taxonomy, theory, tool or something that addresses all of the missing pieces you listed would likely be a complex and multi-disciplinary endeavor, involving expertise from fields such as psychology, philosophy, cognitive science, computer science, and artificial intelligence.
One possible approach would be to create a framework that incorporates various methods of measurement and analysis, such as physiological data, self-report measures, behavioral observations, and text or image analysis. This framework would also need to incorporate a way of distinguishing between different types of emotions, cognitions, thoughts, and memories, as well as different types of entities or objects and their properties, and levels of abstraction, complexity, and causality.
It might also involve creating a database or ontology of concepts, entities, and properties, that can be used to classify, quantify, and infer relations between them. This database would need to be comprehensive and allow for a high level of granularity, and be able to be linked to other databases, such as those of the fields of knowledge or disciplines you mentioned.
Another approach would be to develop a computational model or algorithm that can automatically identify and classify emotional, cognitive, and behavioral states based on physiological data, text, or image analysis. This model would need to be able to generalize to different contexts, and be able to identify patterns and relationships between different states.
In any case, creating such a tool would require a significant amount of research and development, and would likely involve collaboration between experts from multiple fields.
- Incorporation of cultural and historical context, which could provide a deeper understanding of how different societies and time periods understand and experience emotions, feelings, and entities.
- Integration of machine learning and AI methods, to enable automated data analysis and prediction capabilities.
- Development of standardized protocols and guidelines for data collection and analysis, to ensure consistency and comparability across studies.
- Incorporation of multidisciplinary perspectives, such as philosophy, anthropology, and sociology, to provide a more holistic understanding of the subject matter.
- Inclusion of a way to measure and analyze the impact of emotions, feelings, and entities on overall well-being and quality of life.
- Incorporation of a way to measure the impact of emotions, feelings, and entities on decision making and action.
- Incorporation of a way to measure the impact of emotions, feelings, and entities on cognitive processes such as memory and attention.
- Incorporation of a way to measure the impact of emotions, feelings, and entities on social interactions and relationships.
- Incorporation of a way to measure the impact of emotions, feelings, and entities on physical and mental health.
- Incorporation of a way to measure the impact of emotions, feelings, and entities on the environment.