Revolutionary Paradigms Documentation
This directory contains comprehensive documentation for the four revolutionary paradigms that form the theoretical foundation of Kwasa-Kwasa:
Overview
đ Start Here: Revolutionary Framework Overview
- Complete guide to all four paradigms working together
- Real-world applications and examples
- Theoretical foundations and implementation architecture
The Four Revolutionary Paradigms
1. Points and Resolutions: Probabilistic Language Processing
Core Insight: âNo point is 100% certainâ
- Theoretical Foundations: Points and Resolutions
- Deep philosophical and mathematical foundations
- Connections to existing research in computational linguistics and AI
- Epistemic uncertainty, Bayesian epistemology, and pragmatic semantics
- Points as Debate Platforms
- Complete technical specification of Points and Resolutions
- Debate platform mechanics and implementation details
- Evidence presentation, cross-examination, and consensus emergence
- Formal Specification: Probabilistic Points
- Mathematical foundations and formal definitions
- Probability theory, information theory, and uncertainty quantification
- Implementation specifications and algorithms
2. Positional Semantics: Position as Primary Meaning
Core Insight: âThe location of a word is the whole point behind its probable meaningâ
- Positional Semantics and Streaming
- Complete theory of position-dependent meaning in text processing
- Sentence-level analysis and streaming text processing
- Positional semantic weights and order dependency
3. Perturbation Validation: Testing Probabilistic Robustness
Core Insight: âSince everything is probabilistic, there still should be a way to disentangle these seemingly fleeting quantitiesâ
- Resolution Validation Through Perturbation
- Comprehensive methodology for testing resolution stability
- Eight types of systematic perturbations
- Reliability categorization and robustness assessment
4. Hybrid Processing with Probabilistic Loops
Core Insight: âThe whole probabilistic system can be tucked inside probabilistic processesâ
- Probabilistic Text Operations
- Technical implementation of hybrid processing systems
- Four specialized loop types (cycle, drift, flow, roll-until-settled)
- Dynamic mode switching and âweird loopsâ
Integration and Implementation
These paradigms work together as a unified system:
- Points provide probabilistic semantic units
- Positional Semantics enriches meaning through position
- Perturbation Validation ensures robustness
- Hybrid Processing adapts computational approach
Navigation
These revolutionary paradigms represent the first computational framework to treat language as inherently probabilistic while making word position a primary semantic feature, with systematic validation of uncertain interpretations through adaptive hybrid processing.