Complexity IX. Closure over the organization of a scientific truth

Area of Science:

• * Systems biology and scientific epistemology.
• * Medical informatics and clinical truth formulation.

Background:

• * Human knowledge specificity allows for constructing truths about behavior.
• * Biological systems are complex, hierarchically organized, and require unique analytical frameworks.
• * Traditional physics and chemistry rely on invariant external reference systems, unlike biological systems' internal, non-invariant ones.

Purpose of the Study:

• * To develop a structural notation and language for analyzing health and disease origins.
• * To create a systematic formulation of scientific truth applicable to individual patients.
• * To address the complexity of scientific truths within living systems.

Main Methods:

• * Construction of a mathematical graph from observations and symbolizations of human scientific activities.
• * Mutual coreference of the graphic object with three philosophical theories of truth.
• * Mapping structural consistencies over degrees of internal organization to form hierarchically transitive relations.

Main Results:

• * Consistency within graphic referencing relations creates an image of complex truths.
• * Hierarchically transitive relations and redundancies confirm one another.
• * Increased certitude in scientific truth emerges with more hierarchical degrees of organization.

Conclusions:

• * A graphical framework can represent complex truths in biological systems, enhancing understanding of health and disease.
• * The approach offers substantial moral, ethical, and legal value in clinical practice.
• * This method synthesizes complex truths, approaching a notion of identity in scientific understanding.