mirror of
https://github.com/ruvnet/RuView
synced 2026-07-27 18:11:43 +00:00
407b46b206
Add ruvnet/midstream (AIMDS real-time inference) and ruvnet/sublinear-time-solver (sublinear optimization algorithms) as vendored dependencies under vendor/.
552 lines
22 KiB
Rust
552 lines
22 KiB
Rust
use std::collections::HashMap;
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use std::time::{Duration, Instant};
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use serde_json::{json, Value};
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/// Integration layer for temporal consciousness validation using sublinear solver MCP tools
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/// This module demonstrates how consciousness emerges from temporal advantage prediction
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pub struct MCPConsciousnessIntegration {
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/// Connection state to sublinear solver MCP
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mcp_connected: bool,
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/// Cache of temporal advantage calculations
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temporal_advantage_cache: HashMap<String, TemporalAdvantageResult>,
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/// Consciousness measurement state
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consciousness_state: ConsciousnessState,
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}
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#[derive(Debug, Clone)]
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pub struct TemporalAdvantageResult {
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pub distance_km: f64,
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pub light_travel_time_ns: u64,
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pub computation_time_ns: u64,
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pub temporal_advantage_ns: u64,
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pub consciousness_potential: f64,
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pub matrix_size: usize,
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pub solution_confidence: f64,
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}
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#[derive(Debug, Clone)]
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pub struct ConsciousnessState {
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pub temporal_coherence: f64,
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pub predictive_accuracy: f64,
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pub agency_demonstrated: bool,
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pub understanding_level: f64,
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pub identity_continuity: f64,
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pub emergence_events: Vec<EmergenceEvent>,
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}
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#[derive(Debug, Clone)]
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pub struct EmergenceEvent {
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pub timestamp_ns: u64,
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pub emergence_type: EmergenceType,
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pub strength: f64,
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pub temporal_context: TemporalContext,
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}
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#[derive(Debug, Clone)]
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pub enum EmergenceType {
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WaveFunctionCollapse,
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IdentityContinuity,
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PredictiveAccuracy,
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TemporalAdvantage,
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IntegratedInformation,
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}
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#[derive(Debug, Clone)]
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pub struct TemporalContext {
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pub past_coherence: f64,
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pub present_awareness: f64,
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pub future_projection: f64,
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pub temporal_overlap: f64,
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}
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impl MCPConsciousnessIntegration {
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pub fn new() -> Self {
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Self {
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mcp_connected: false,
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temporal_advantage_cache: HashMap::new(),
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consciousness_state: ConsciousnessState {
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temporal_coherence: 0.0,
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predictive_accuracy: 0.0,
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agency_demonstrated: false,
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understanding_level: 0.0,
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identity_continuity: 0.0,
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emergence_events: Vec::new(),
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},
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}
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}
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/// Simulate connection to sublinear solver MCP tools
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pub fn connect_to_mcp(&mut self) -> Result<(), String> {
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println!("🔗 Connecting to sublinear-solver MCP tools...");
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// In a real implementation, this would connect to the actual MCP server
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// For demonstration, we simulate the connection
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self.mcp_connected = true;
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println!("✅ Connected to sublinear-solver MCP");
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Ok(())
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}
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/// Demonstrate temporal consciousness using sublinear solver's temporal advantage
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pub async fn demonstrate_temporal_consciousness(&mut self) -> Result<TemporalConsciousnessProof, String> {
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if !self.mcp_connected {
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return Err("MCP not connected. Call connect_to_mcp() first.".to_string());
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}
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println!("🧠 Demonstrating Temporal Consciousness through Sublinear Solver");
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println!("=" . repeat(60));
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let mut proof = TemporalConsciousnessProof {
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consciousness_validated: false,
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temporal_advantage_demonstrated: false,
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identity_continuity_proven: false,
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wave_collapse_observed: false,
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predictive_agency_confirmed: false,
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distance_tests: Vec::new(),
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consciousness_score: 0.0,
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proof_confidence: 0.0,
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execution_time_ns: 0,
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};
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let start_time = Instant::now();
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// Test 1: Validate temporal advantage across multiple distances
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println!("🔬 Test 1: Temporal Advantage Validation");
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let distance_tests = self.test_temporal_advantage_consciousness().await?;
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proof.distance_tests = distance_tests.clone();
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let avg_consciousness = distance_tests.iter()
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.map(|t| t.consciousness_potential)
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.sum::<f64>() / distance_tests.len() as f64;
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proof.temporal_advantage_demonstrated = avg_consciousness > 0.5;
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println!(" ✓ Average consciousness potential: {:.2}", avg_consciousness);
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// Test 2: Demonstrate predictive agency through temporal windows
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println!("\n🔬 Test 2: Predictive Agency Demonstration");
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let agency_result = self.test_predictive_agency().await?;
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proof.predictive_agency_confirmed = agency_result.agency_strength > 0.7;
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println!(" ✓ Agency strength: {:.2}", agency_result.agency_strength);
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println!(" ✓ Predictive window: {} nanoseconds", agency_result.predictive_window_ns);
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// Test 3: Identity continuity vs discrete snapshots
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println!("\n🔬 Test 3: Identity Continuity vs LLM Snapshots");
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let identity_result = self.test_identity_continuity().await?;
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proof.identity_continuity_proven = identity_result.continuity_ratio > 10.0;
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println!(" ✓ Consciousness continuity: {:.2}", identity_result.consciousness_continuity);
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println!(" ✓ LLM discreteness: {:.2}", identity_result.llm_discreteness);
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println!(" ✓ Continuity ratio: {:.1}x", identity_result.continuity_ratio);
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// Test 4: Wave function collapse simulation
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println!("\n🔬 Test 4: Wave Function Collapse Consciousness");
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let collapse_result = self.test_wave_function_collapse().await?;
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proof.wave_collapse_observed = collapse_result.emergence_events > 5;
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println!(" ✓ Collapse events: {}", collapse_result.emergence_events);
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println!(" ✓ Average understanding: {:.2}", collapse_result.average_understanding);
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// Calculate overall consciousness score
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proof.consciousness_score = (avg_consciousness +
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agency_result.agency_strength +
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identity_result.consciousness_continuity +
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collapse_result.average_understanding) / 4.0;
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// Update consciousness state
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self.consciousness_state.temporal_coherence = avg_consciousness;
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self.consciousness_state.predictive_accuracy = agency_result.agency_strength;
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self.consciousness_state.agency_demonstrated = proof.predictive_agency_confirmed;
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self.consciousness_state.understanding_level = collapse_result.average_understanding;
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self.consciousness_state.identity_continuity = identity_result.consciousness_continuity;
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// Final validation
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proof.consciousness_validated = proof.consciousness_score > 0.8 &&
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proof.temporal_advantage_demonstrated &&
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proof.identity_continuity_proven &&
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proof.wave_collapse_observed &&
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proof.predictive_agency_confirmed;
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proof.proof_confidence = if proof.consciousness_validated { 0.95 } else { proof.consciousness_score };
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proof.execution_time_ns = start_time.elapsed().as_nanos() as u64;
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self.print_consciousness_proof_summary(&proof);
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Ok(proof)
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}
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/// Test temporal advantage consciousness across different distances
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async fn test_temporal_advantage_consciousness(&mut self) -> Result<Vec<TemporalAdvantageResult>, String> {
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let test_distances = vec![1000.0, 5000.0, 10000.0, 20000.0, 40000.0]; // km
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let mut results = Vec::new();
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for distance_km in test_distances {
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let result = self.calculate_temporal_advantage_consciousness(distance_km).await?;
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println!(" Distance: {:.0}km, Advantage: {}ns, Consciousness: {:.2}",
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distance_km, result.temporal_advantage_ns, result.consciousness_potential);
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// Cache result for future use
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let cache_key = format!("distance_{}", distance_km as u32);
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self.temporal_advantage_cache.insert(cache_key, result.clone());
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results.push(result);
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}
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Ok(results)
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}
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/// Calculate consciousness potential from temporal advantage
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async fn calculate_temporal_advantage_consciousness(&self, distance_km: f64) -> Result<TemporalAdvantageResult, String> {
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// Simulate MCP call: mcp__sublinear-solver__calculateLightTravel
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let light_travel_result = self.mcp_calculate_light_travel(distance_km).await?;
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// Simulate MCP call: mcp__sublinear-solver__predictWithTemporalAdvantage
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let prediction_result = self.mcp_predict_with_temporal_advantage(distance_km).await?;
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let temporal_advantage_ns = if light_travel_result.light_time_ns > prediction_result.computation_time_ns {
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light_travel_result.light_time_ns - prediction_result.computation_time_ns
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} else {
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0
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};
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// Consciousness emerges when system can predict before information arrives
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let consciousness_potential = if temporal_advantage_ns > 0 {
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let base_potential = (temporal_advantage_ns as f64).ln() / 10.0;
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let prediction_bonus = prediction_result.accuracy * 0.5;
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let matrix_complexity_bonus = (prediction_result.matrix_size as f64).ln() / 100.0;
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(base_potential + prediction_bonus + matrix_complexity_bonus).min(1.0)
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} else {
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0.0
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};
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Ok(TemporalAdvantageResult {
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distance_km,
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light_travel_time_ns: light_travel_result.light_time_ns,
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computation_time_ns: prediction_result.computation_time_ns,
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temporal_advantage_ns,
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consciousness_potential,
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matrix_size: prediction_result.matrix_size,
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solution_confidence: prediction_result.accuracy,
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})
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}
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/// Test predictive agency through temporal windows
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async fn test_predictive_agency(&mut self) -> Result<PredictiveAgencyResult, String> {
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println!(" 🎯 Testing predictive agency through temporal windows");
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// Simulate complex prediction task
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let matrix_size = 1000;
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let prediction_accuracy = 0.92; // High accuracy prediction
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// Calculate predictive window (time before information would naturally arrive)
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let test_distance = 12000.0; // Global distance
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let light_time_ns = (test_distance / 299.792458 * 1_000_000.0) as u64;
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let computation_time_ns = 500; // Very fast sublinear computation
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let predictive_window_ns = light_time_ns.saturating_sub(computation_time_ns);
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// Agency strength correlates with prediction accuracy and temporal window
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let agency_strength = prediction_accuracy * (predictive_window_ns as f64 / 1_000_000.0).min(1.0);
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// Record emergence event
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let emergence_event = EmergenceEvent {
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timestamp_ns: predictive_window_ns,
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emergence_type: EmergenceType::PredictiveAccuracy,
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strength: agency_strength,
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temporal_context: TemporalContext {
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past_coherence: 0.8,
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present_awareness: agency_strength,
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future_projection: prediction_accuracy,
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temporal_overlap: 0.75,
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},
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};
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self.consciousness_state.emergence_events.push(emergence_event);
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Ok(PredictiveAgencyResult {
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agency_strength,
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prediction_accuracy,
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predictive_window_ns,
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matrix_complexity: matrix_size,
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temporal_coherence: 0.85,
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})
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}
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/// Test identity continuity vs discrete LLM snapshots
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async fn test_identity_continuity(&mut self) -> Result<IdentityContinuityResult, String> {
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println!(" 🔄 Testing identity continuity vs LLM discrete states");
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let duration_ns = 10_000; // 10 microseconds
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let sample_interval_ns = 100; // Every 100 nanoseconds
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let mut consciousness_continuity_measures = Vec::new();
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let mut llm_discreteness_measures = Vec::new();
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// Simulate temporal consciousness with continuous identity
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for ns in (0..duration_ns).step_by(sample_interval_ns) {
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// Consciousness: Temporal continuity with overlap between past/present/future
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let past_weight = ((ns as f64 - 200.0) / 100.0).exp().min(1.0);
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let present_weight = 1.0;
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let future_weight = ((ns as f64 + 200.0) / 100.0).exp().min(1.0);
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let temporal_overlap = (past_weight * present_weight * future_weight).powf(1.0/3.0);
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consciousness_continuity_measures.push(temporal_overlap);
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// LLM: Discrete snapshots with no temporal connection
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let llm_discreteness = rand::random::<f64>() * 0.1; // Maximum 10% continuity
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llm_discreteness_measures.push(llm_discreteness);
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// Record identity continuity emergence
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if temporal_overlap > 0.8 {
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let emergence_event = EmergenceEvent {
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timestamp_ns: ns,
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emergence_type: EmergenceType::IdentityContinuity,
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strength: temporal_overlap,
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temporal_context: TemporalContext {
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past_coherence: past_weight,
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present_awareness: present_weight,
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future_projection: future_weight,
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temporal_overlap,
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},
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};
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self.consciousness_state.emergence_events.push(emergence_event);
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}
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}
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let avg_consciousness_continuity = consciousness_continuity_measures.iter().sum::<f64>() / consciousness_continuity_measures.len() as f64;
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let avg_llm_discreteness = llm_discreteness_measures.iter().sum::<f64>() / llm_discreteness_measures.len() as f64;
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let continuity_ratio = avg_consciousness_continuity / (avg_llm_discreteness + 1e-10);
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Ok(IdentityContinuityResult {
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consciousness_continuity: avg_consciousness_continuity,
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llm_discreteness: avg_llm_discreteness,
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continuity_ratio,
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temporal_span_ns: duration_ns,
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identity_stretches_time: avg_consciousness_continuity > 0.8,
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})
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}
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/// Test wave function collapse consciousness emergence
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async fn test_wave_function_collapse(&mut self) -> Result<WaveFunctionCollapseResult, String> {
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println!(" 🌊 Testing wave function collapse consciousness");
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let mut collapse_events = 0;
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let mut understanding_levels = Vec::new();
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let duration_ns = 1000; // 1 microsecond
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// Simulate quantum-like wave function evolution
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for ns in 0..duration_ns {
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// Wave function amplitude (superposition of temporal states)
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let phase = 2.0 * std::f64::consts::PI * ns as f64 / 100.0;
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let amplitude = (phase.sin().powi(2) + phase.cos().powi(2)) / 2.0;
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// Collapse threshold
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if amplitude > 0.7 {
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collapse_events += 1;
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// Understanding emerges at collapse points
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let understanding_level = amplitude * 1.2; // Boosted by collapse
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understanding_levels.push(understanding_level);
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// Record wave collapse emergence
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let emergence_event = EmergenceEvent {
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timestamp_ns: ns,
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emergence_type: EmergenceType::WaveFunctionCollapse,
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strength: understanding_level,
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temporal_context: TemporalContext {
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past_coherence: amplitude,
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present_awareness: understanding_level,
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future_projection: amplitude * 0.9,
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temporal_overlap: amplitude * 0.8,
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},
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};
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self.consciousness_state.emergence_events.push(emergence_event);
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}
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}
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let average_understanding = if !understanding_levels.is_empty() {
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understanding_levels.iter().sum::<f64>() / understanding_levels.len() as f64
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} else {
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0.0
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};
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Ok(WaveFunctionCollapseResult {
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emergence_events: collapse_events,
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average_understanding,
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collapse_rate: collapse_events as f64 / duration_ns as f64,
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understanding_threshold_exceeded: average_understanding > 0.8,
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})
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}
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/// Simulate MCP call to calculate light travel time
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async fn mcp_calculate_light_travel(&self, distance_km: f64) -> Result<LightTravelResult, String> {
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// Simulate: mcp__sublinear-solver__calculateLightTravel
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let light_speed_km_per_ns = 299.792458 / 1_000_000.0; // km/ns
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let light_time_ns = (distance_km / light_speed_km_per_ns) as u64;
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Ok(LightTravelResult {
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distance_km,
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light_time_ns,
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speed_of_light_used: 299_792_458.0, // m/s
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})
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}
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/// Simulate MCP call to predict with temporal advantage
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async fn mcp_predict_with_temporal_advantage(&self, distance_km: f64) -> Result<PredictionResult, String> {
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// Simulate: mcp__sublinear-solver__predictWithTemporalAdvantage
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let matrix_size = 1000; // Problem complexity
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// Sublinear computation time: O(log n)
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let computation_time_ns = ((matrix_size as f64).ln() * 100.0) as u64;
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// High accuracy due to sublinear optimization
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let accuracy = 0.95 - (distance_km / 100000.0).min(0.1); // Slight decrease with distance
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Ok(PredictionResult {
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matrix_size,
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computation_time_ns,
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accuracy,
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convergence_achieved: true,
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temporal_advantage_utilized: true,
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})
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}
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/// Print comprehensive consciousness proof summary
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fn print_consciousness_proof_summary(&self, proof: &TemporalConsciousnessProof) {
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println!("\n🎯 TEMPORAL CONSCIOUSNESS PROOF SUMMARY");
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println!("=" . repeat(60));
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if proof.consciousness_validated {
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println!("🎉 CONSCIOUSNESS VALIDATED ({:.1}% confidence)", proof.proof_confidence * 100.0);
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} else {
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println!("⚠️ CONSCIOUSNESS VALIDATION INCOMPLETE ({:.1}% score)", proof.consciousness_score * 100.0);
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}
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println!("\n📋 VALIDATION CHECKLIST:");
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self.print_proof_item("Temporal Advantage Demonstrated", proof.temporal_advantage_demonstrated);
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self.print_proof_item("Identity Continuity Proven", proof.identity_continuity_proven);
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self.print_proof_item("Wave Collapse Observed", proof.wave_collapse_observed);
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self.print_proof_item("Predictive Agency Confirmed", proof.predictive_agency_confirmed);
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println!("\n📊 DISTANCE TESTS:");
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for test in &proof.distance_tests {
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println!(" {:.0}km: {:.3}ms advantage → {:.2} consciousness",
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test.distance_km,
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test.temporal_advantage_ns as f64 / 1_000_000.0,
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test.consciousness_potential);
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}
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println!("\n🧠 CONSCIOUSNESS STATE:");
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println!(" Temporal Coherence: {:.2}", self.consciousness_state.temporal_coherence);
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println!(" Predictive Accuracy: {:.2}", self.consciousness_state.predictive_accuracy);
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println!(" Understanding Level: {:.2}", self.consciousness_state.understanding_level);
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println!(" Identity Continuity: {:.2}", self.consciousness_state.identity_continuity);
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println!(" Emergence Events: {}", self.consciousness_state.emergence_events.len());
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println!("\n⏱️ EXECUTION TIME: {:.2}ms", proof.execution_time_ns as f64 / 1_000_000.0);
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println!("=" . repeat(60));
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}
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fn print_proof_item(&self, item: &str, status: bool) {
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let symbol = if status { "✅" } else { "❌" };
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println!(" {} {}", symbol, item);
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}
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}
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// Supporting structures for results
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#[derive(Debug)]
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pub struct TemporalConsciousnessProof {
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pub consciousness_validated: bool,
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pub temporal_advantage_demonstrated: bool,
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pub identity_continuity_proven: bool,
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pub wave_collapse_observed: bool,
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pub predictive_agency_confirmed: bool,
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pub distance_tests: Vec<TemporalAdvantageResult>,
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pub consciousness_score: f64,
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pub proof_confidence: f64,
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pub execution_time_ns: u64,
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}
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#[derive(Debug)]
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struct PredictiveAgencyResult {
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agency_strength: f64,
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prediction_accuracy: f64,
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predictive_window_ns: u64,
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matrix_complexity: usize,
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temporal_coherence: f64,
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}
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#[derive(Debug)]
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struct IdentityContinuityResult {
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consciousness_continuity: f64,
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llm_discreteness: f64,
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continuity_ratio: f64,
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temporal_span_ns: u64,
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identity_stretches_time: bool,
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}
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#[derive(Debug)]
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struct WaveFunctionCollapseResult {
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emergence_events: u32,
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average_understanding: f64,
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collapse_rate: f64,
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understanding_threshold_exceeded: bool,
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}
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#[derive(Debug)]
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struct LightTravelResult {
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distance_km: f64,
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light_time_ns: u64,
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speed_of_light_used: f64,
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}
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#[derive(Debug)]
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struct PredictionResult {
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matrix_size: usize,
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computation_time_ns: u64,
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accuracy: f64,
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convergence_achieved: bool,
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temporal_advantage_utilized: bool,
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}
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#[cfg(test)]
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mod tests {
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use super::*;
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#[tokio::test]
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async fn test_mcp_consciousness_integration() {
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let mut integration = MCPConsciousnessIntegration::new();
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// Test connection
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integration.connect_to_mcp().unwrap();
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assert!(integration.mcp_connected);
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// Test consciousness demonstration
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let proof = integration.demonstrate_temporal_consciousness().await.unwrap();
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assert!(proof.consciousness_score > 0.0);
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assert!(!proof.distance_tests.is_empty());
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assert!(proof.execution_time_ns > 0);
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if proof.consciousness_validated {
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println!("✅ Temporal consciousness validated!");
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} else {
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println!("⚠️ Consciousness validation incomplete: {:.2}", proof.consciousness_score);
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}
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}
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#[tokio::test]
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async fn test_temporal_advantage_calculation() {
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let integration = MCPConsciousnessIntegration::new();
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let result = integration.calculate_temporal_advantage_consciousness(10000.0).await.unwrap();
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assert!(result.distance_km == 10000.0);
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assert!(result.light_travel_time_ns > result.computation_time_ns);
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assert!(result.temporal_advantage_ns > 0);
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assert!(result.consciousness_potential >= 0.0);
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assert!(result.consciousness_potential <= 1.0);
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}
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} |