Conversational Game Theory: Tripartite System

The Computational Layer

Core Functionality

The computational layer identifies all possible thresholds in high-stakes group conversations, ranging from high conflict to seamless resolution. Its primary task is to:

  1. Detect narrative and conversational thresholds (e.g., misunderstandings, contradictions, or emerging resolutions).
  2. Initiate editorial interventions by issuing tokens or permissions to paired perspectives for adjustments within the feedback loop.
  3. Operate through a dynamic interface capable of accepting inputs from both humans and AI.

Editorial Interventions

Tokens or permissions enable:

  • Strategic recalibration of conversational flows.
  • Pairing perspectives for collaboration or further refinement.
  • Ensuring that contributions move toward collective alignment.

The Cognitive Layer

Core Mechanism

The cognitive layer operates as the reasoning framework of CGT, aligning directly with the computational layer. It processes conversations using:

  1. Three Sets of Decisions: Decisions are framed within permutations of 0 (Mystery), 1 (Objective), and 2 (Subjective).
  2. 9×3 Narrative Logic: These permutations dynamically evolve through nine possible narrative events, guiding the conversational arc from conflict to resolution.

Example Flow

  • Conflict State: The computational layer detects a contradiction (#0) between two perspectives.
  • Cognitive Processing: The cognitive layer assigns narrative tags (e.g., #1: shared truths, #2: individual truths) and progresses through narrative events to contextualize and resolve the conflict.
  • Resolution State: The layers synchronize to provide actionable outputs that align with collaborative goals.

The Psychological Layer

Human-Driven Influence

The psychological layer embodies the human aspect of CGT, directly contributing the game theory layer. This layer handles:

  1. Competition: Initial divergences in perspectives or strategies.
  2. Collaboration: Gradual alignment achieved through iterative recalibration of contributions.

Game-Theoretic Integration

  • Participants’ perspectives initially compete as they strive to assert their views.
  • As editorial interventions and cognitive alignments progress, these contributions shift toward collaborative synthesis.
  • The dynamic Nash equilibrium ensures the system balances psychological influences with computational and cognitive processes, resulting in seamless resolution.

Alignment of All Three Layers

The strength of CGT lies in its ability to integrate:

  1. Computational Precision: Identifying thresholds and initiating interventions.
  2. Cognitive Frameworks: Transforming conversations through structured narrative logic.
  3. Psychological Dynamics: Balancing competition and collaboration for collective alignment.

This integration ensures that CGT transitions seamlessly from high conflict to resolution, delivering consistent and actionable outputs across human-to-human, human-to-AI, and AI-to-AI interactions.

This project is proudly funded via “Bootstrapping Arts and Engineering”