Research Studies: SE Component

Symbolic Exploration: A Hybrid Framework

At Valley2Peak AI, we aim to build the models for our Symbolic Exploration component on a foundation of established scientific principles from cognitive neuroscience, psychology and philosophy to provide a comprehensive look at the problem. Our innovation is envisioned to be a hybrid framework that builds upon this established knowledge with a new model based on symbolic traditions.

The core of our Symbolic Exploration framework is based on the Transactional Analysis (TA) model of the psyche (Parent, Adult, Child). This well-established psychological model provides a rigorous starting point for understanding emotional patterns. We then use symbolic archetypes, to impart a finer granularity to this model, allowing for a more nuanced and holistic understanding of the self. This unique synthesis bridges established psychological frameworks with a symbolic lens to provide a finer granularity for self-discovery.

The Problem of Subjective and Objective Reality

The Meaning Gap: The primary challenge in self-discovery is the tension between a person’s inner, subjective world and the external, causal reality of the universe. Modern science, rooted in a reductionist approach, has often struggled to provide a coherent framework for a person’s search for holistic meaning. This tension leaves a profound gap between the scientific explanation of human life and a person’s lived experience of it. We have identified this tension as the “meaning gap”—the fundamental disconnect that arises when a purely reductionist worldview struggles to provide a coherent framework for a person’s search for holistic meaning.

The Scientific Evidence for a Holistic Approach

• The Limits of Reductionism: Research from Engel and Borrell-Carrió and other fields highlights the limitations of a purely reductionist approach in medicine and other complex systems. This suggests that a holistic view of complex systems is often necessary to understand them.
• The Power of Holistic Thinking: Research from cognitive neuroscience on metaphor, narrative, and the dual nature of the brain demonstrates the existence and importance of holistic thinking as a fundamental human capability.

A Push Towards Further Empirical Validation

An objectively fine grained solution: Our platform is designed to be a tool for the empirical validation of philosophical systems. While Transactional Analysis provides a rigorous psychological starting point, we believe it requires a deeper, more objective framework to reach a foundational understanding of human patterns. The SE component aims to be a tool for the empirical validation of this more objective framework through our early adopter and living laboratory programs.

SE Component: The Foundational Pillars

Our approach will be a unique synthesis of multiple established fields that work together to operationalize our method.

• Cognitive Neuroscience: We are applying a scientific methodology to understand the human brain’s natural capacity for holistic and symbolic thinking.
• Psychological Systems: We are applying a scientific methodology to a well-established psychological framework (Transactional Analysis) to provide a structured starting point.
• Symbolic Frameworks: Our innovation is to use objective symbolic archetypes to provide a more holistic and nuanced understanding of these psychological systems. Our hypothesis is that structured symbolic archetypes, when operationalized alongside established psychological systems, can help bridge the ‘meaning gap.’ This is a testable proposition, which we will evaluate through early adopter programs.

References

• Berne, E. (1961). Transactional Analysis in Psychotherapy.
• Borrell-Carrió F, Suchman AL, Epstein RM. The biopsychosocial model 25 years later: principles, practice, and scientific inquiry. Ann Fam Med. 2004 Nov-Dec;2(6):576-82. doi: 10.1370/afm.245. PMID: 15576544; PMCID: PMC1466742.
• Corballis MC. Lateralization of the human brain. Prog Brain Res. 2012;195:103-21. doi: 10.1016/B978-0-444-53860-4.00006-4. PMID: 22230625.
• Fauconnier, G., & Turner, M. (2002). The Way We Think: Conceptual Blending and the Mind’s Hidden Complexities. Basic Books.
• Guilford, J. P. (1967). Creativity: Yesterday, today, and tomorrow. The Journal of Creative Behavior, 1(1), 3–14. https://doi.org/10.1002/j.2162-6057.1967.tb00002.x
• Engel, G. L. (1977). The need for a new medical model: A challenge for biomedicine. Science, 196(4286), 129–136. Quill, T. E., Frankel, R. M., & McDaniel, S. H. (Eds.).
• Haidt, J. (2001). The Emotional Dog and Its Rational Tail: A Social Intuitionist Approach to Moral Judgment. Psychological Review, 108(4), 814-834. doi: 10.1037/0033-295X.108.4.814.
• McGilchrist, I. (2009). The Master and His Emissary: The Divided Brain and the Making of the Western World. Yale University Press.
• Malafouris, L. (2013). How Things Shape the Mind: A Theory of Material Engagement. MIT Press.
• Rizzolatti, G., & Craighero, L. (2004). The Mirror-Neuron System. Annual Review of Neuroscience, 27(1), 169-192. doi: 10.1146/annurev.neuro.27.070203.144214.
• Zlatev, J. (2009). The Semiotic Hierarchy: Life, consciousness, signs and language. Cognitive Semiotics 2009(4):169-200. DOI:10.3726/81608_169

Researching the Evolution of Knowledge

Valley2Peak AI will not be just built on research—it is envisioned to be a platform, the living laboratory, for creating it. Our unique human-in-the-loop system is envisioned to pioneer a new paradigm for academic research, where a feedback loop between AI and human scholars refines and evolves knowledge itself. We envision our platform as a place where the insights generated by our community’s direct interaction will provide a source of real-world data to drive the continuous validation and evolution of knowledge.