999 lines
30 KiB
Rust
999 lines
30 KiB
Rust
//! # Application 11: Extropic Intelligence Substrate
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//!
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//! The complete substrate for bounded, self-improving intelligence:
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//! - Autonomous goal mutation under coherence constraints
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//! - Native agent lifecycles at the memory layer
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//! - Hardware-enforced spike/silence semantics
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//!
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//! ## The Three Missing Pieces
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//!
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//! 1. **Goal Mutation**: Goals are not static—they evolve as attractors
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//! that the system discovers and refines while preserving coherence.
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//!
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//! 2. **Agent Lifecycles in Memory**: Agents are born, grow, decay, and die
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//! within the vector space itself. Memory IS the agent.
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//!
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//! 3. **Spike Semantics**: Communication follows neural spike patterns—
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//! silence is the default, spikes are costly, and hardware enforces this.
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//!
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//! ## Why This Matters
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//! This is the difference between a system that *uses* intelligence
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//! and a system that *is* intelligence.
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use std::collections::HashMap;
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use std::sync::atomic::{AtomicU64, Ordering};
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/// Maximum goal history entries to retain (prevents unbounded memory growth)
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const MAX_GOAL_HISTORY: usize = 100;
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// =============================================================================
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// Part 1: Autonomous Goal Mutation
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// =============================================================================
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/// A goal that can mutate autonomously while preserving coherence
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#[derive(Clone, Debug)]
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pub struct MutableGoal {
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/// Current goal state (as a vector in goal-space)
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pub state: Vec<f64>,
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/// Goal coherence with the system
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coherence_with_system: f64,
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/// Mutation rate (how quickly goals can change)
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mutation_rate: f64,
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/// Stability (resistance to mutation)
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stability: f64,
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/// History of goal states
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history: Vec<Vec<f64>>,
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/// Attractors discovered in goal-space
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discovered_attractors: Vec<GoalAttractor>,
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}
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#[derive(Clone, Debug)]
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pub struct GoalAttractor {
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pub center: Vec<f64>,
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pub strength: f64,
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pub radius: f64,
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}
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impl MutableGoal {
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pub fn new(initial: Vec<f64>) -> Self {
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Self {
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state: initial.clone(),
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coherence_with_system: 1.0,
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mutation_rate: 0.1,
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stability: 0.5,
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history: vec![initial],
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discovered_attractors: Vec::new(),
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}
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}
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/// Attempt to mutate the goal based on feedback
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pub fn mutate(&mut self, feedback: &GoalFeedback, system_coherence: f64) -> MutationResult {
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// Goals cannot mutate if system coherence is too low
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if system_coherence < 0.3 {
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return MutationResult::Blocked {
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reason: "System coherence too low for goal mutation".to_string(),
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};
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}
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// Calculate mutation pressure from feedback
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let pressure = feedback.calculate_pressure();
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// Stability resists mutation
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let effective_rate = self.mutation_rate * pressure * (1.0 - self.stability);
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if effective_rate < 0.01 {
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return MutationResult::NoChange;
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}
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// Calculate mutation direction (toward better coherence)
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let direction = self.calculate_mutation_direction(feedback);
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// Apply mutation with coherence constraint
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let mut new_state = self.state.clone();
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for (i, d) in direction.iter().enumerate() {
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if i < new_state.len() {
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new_state[i] += d * effective_rate;
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}
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}
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// Check if mutation preserves coherence
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let new_coherence = self.calculate_coherence(&new_state, system_coherence);
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if new_coherence < self.coherence_with_system * 0.9 {
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// Mutation would hurt coherence too much
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let dampened: Vec<f64> = direction.iter().map(|d| d * 0.1).collect();
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return MutationResult::Dampened {
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original_delta: direction,
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actual_delta: dampened,
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};
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}
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// Apply mutation
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let old_state = self.state.clone();
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self.state = new_state;
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self.coherence_with_system = new_coherence;
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// Bounded history to prevent memory growth
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if self.history.len() >= MAX_GOAL_HISTORY {
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self.history.remove(0);
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}
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self.history.push(self.state.clone());
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// Check for attractor discovery
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self.check_attractor_discovery();
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MutationResult::Mutated {
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from: old_state,
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to: self.state.clone(),
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coherence_delta: new_coherence - self.coherence_with_system,
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}
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}
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fn calculate_mutation_direction(&self, feedback: &GoalFeedback) -> Vec<f64> {
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let mut direction = vec![0.0; self.state.len()];
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// Pull toward successful outcomes
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for (outcome, weight) in &feedback.outcome_weights {
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for (i, v) in outcome.iter().enumerate() {
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if i < direction.len() {
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direction[i] += (v - self.state[i]) * weight;
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}
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}
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}
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// Pull toward discovered attractors
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for attractor in &self.discovered_attractors {
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let dist = self.distance_to(&attractor.center);
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if dist < attractor.radius * 2.0 {
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let pull = attractor.strength / (dist + 0.1);
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for (i, c) in attractor.center.iter().enumerate() {
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if i < direction.len() {
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direction[i] += (c - self.state[i]) * pull * 0.1;
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}
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}
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}
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}
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// Normalize
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let mag: f64 = direction.iter().map(|d| d * d).sum::<f64>().sqrt();
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if mag > 0.01 {
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direction.iter_mut().for_each(|d| *d /= mag);
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}
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direction
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}
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fn calculate_coherence(&self, state: &[f64], system_coherence: f64) -> f64 {
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// Coherence is based on:
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// 1. Consistency with history (not changing too fast)
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// 2. Alignment with discovered attractors
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// 3. System-wide coherence
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let history_consistency = if let Some(prev) = self.history.last() {
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let change: f64 = state.iter()
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.zip(prev)
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.map(|(a, b)| (a - b).abs())
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.sum();
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1.0 / (1.0 + change)
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} else {
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1.0
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};
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let attractor_alignment = if !self.discovered_attractors.is_empty() {
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let min_dist = self.discovered_attractors.iter()
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.map(|a| self.distance_to(&a.center))
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.fold(f64::INFINITY, f64::min);
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1.0 / (1.0 + min_dist * 0.1)
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} else {
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0.5
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};
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(history_consistency * 0.3 + attractor_alignment * 0.3 + system_coherence * 0.4)
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.clamp(0.0, 1.0)
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}
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fn check_attractor_discovery(&mut self) {
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// If we've been near the same point for a while, it's an attractor
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if self.history.len() < 10 {
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return;
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}
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let recent: Vec<_> = self.history.iter().rev().take(10).collect();
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let centroid = self.compute_centroid(&recent);
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let variance: f64 = recent.iter()
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.map(|s| self.distance_to_vec(s, ¢roid))
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.sum::<f64>() / recent.len() as f64;
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if variance < 0.1 {
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// Low variance = potential attractor
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let already_known = self.discovered_attractors.iter()
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.any(|a| self.distance_to(&a.center) < a.radius);
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if !already_known {
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self.discovered_attractors.push(GoalAttractor {
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center: centroid,
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strength: 1.0 / (variance + 0.01),
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radius: variance.sqrt() * 2.0 + 0.1,
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});
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}
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}
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}
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fn compute_centroid(&self, points: &[&Vec<f64>]) -> Vec<f64> {
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if points.is_empty() {
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return self.state.clone();
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}
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let dim = points[0].len();
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let mut centroid = vec![0.0; dim];
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for p in points {
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for (i, v) in p.iter().enumerate() {
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centroid[i] += v;
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}
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}
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centroid.iter_mut().for_each(|c| *c /= points.len() as f64);
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centroid
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}
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fn distance_to(&self, target: &[f64]) -> f64 {
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self.distance_to_vec(&self.state, target)
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}
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fn distance_to_vec(&self, a: &[f64], b: &[f64]) -> f64 {
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a.iter()
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.zip(b)
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.map(|(x, y)| (x - y).powi(2))
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.sum::<f64>()
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.sqrt()
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}
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}
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pub struct GoalFeedback {
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/// Outcomes and their weights (positive = good, negative = bad)
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pub outcome_weights: Vec<(Vec<f64>, f64)>,
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}
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impl GoalFeedback {
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pub fn calculate_pressure(&self) -> f64 {
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let total_weight: f64 = self.outcome_weights.iter()
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.map(|(_, w)| w.abs())
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.sum();
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(total_weight / self.outcome_weights.len().max(1) as f64).min(1.0)
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}
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}
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#[derive(Debug)]
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pub enum MutationResult {
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Mutated {
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from: Vec<f64>,
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to: Vec<f64>,
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coherence_delta: f64,
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},
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Dampened {
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original_delta: Vec<f64>,
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actual_delta: Vec<f64>,
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},
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Blocked {
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reason: String,
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},
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NoChange,
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}
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// =============================================================================
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// Part 2: Native Agent Lifecycles at Memory Layer
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// =============================================================================
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/// An agent that exists AS memory, not IN memory
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pub struct MemoryAgent {
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/// Unique identifier
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pub id: u64,
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/// The agent's state IS its memory vector
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memory_vector: Vec<f64>,
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/// Lifecycle stage
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lifecycle: LifecycleStage,
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/// Age in ticks
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age: u64,
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/// Metabolic rate (how fast it processes/decays)
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metabolism: f64,
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/// Coherence with environment
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coherence: f64,
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/// Spike history (for communication)
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spike_buffer: SpikeBuffer,
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/// Goals that can mutate
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goals: Vec<MutableGoal>,
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}
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#[derive(Clone, Debug, PartialEq)]
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pub enum LifecycleStage {
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/// Just created, forming initial structure
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Embryonic { formation_progress: f64 },
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/// Growing and learning
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Growing { growth_rate: f64 },
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/// Mature and stable
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Mature { stability: f64 },
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/// Beginning to decay
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Senescent { decay_rate: f64 },
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/// Final dissolution
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Dying { dissolution_progress: f64 },
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/// No longer exists
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Dead,
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}
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impl MemoryAgent {
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/// Birth a new agent from seed memory
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pub fn birth(id: u64, seed: Vec<f64>) -> Self {
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Self {
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id,
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memory_vector: seed,
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lifecycle: LifecycleStage::Embryonic { formation_progress: 0.0 },
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age: 0,
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metabolism: 1.0,
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coherence: 0.5, // Starts with partial coherence
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spike_buffer: SpikeBuffer::new(100),
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goals: Vec::new(),
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}
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}
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/// Tick the agent's lifecycle
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pub fn tick(&mut self, environment_coherence: f64) -> LifecycleEvent {
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self.age += 1;
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self.coherence = self.calculate_coherence(environment_coherence);
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// Extract values needed for operations to avoid borrow conflicts
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let current_coherence = self.coherence;
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let current_age = self.age;
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let memory_str = self.memory_strength();
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// Progress through lifecycle stages
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match self.lifecycle.clone() {
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LifecycleStage::Embryonic { formation_progress } => {
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let new_progress = formation_progress + 0.1 * current_coherence;
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if new_progress >= 1.0 {
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self.lifecycle = LifecycleStage::Growing { growth_rate: 0.05 };
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return LifecycleEvent::StageTransition {
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from: "Embryonic".to_string(),
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to: "Growing".to_string(),
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};
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}
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self.lifecycle = LifecycleStage::Embryonic { formation_progress: new_progress };
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}
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LifecycleStage::Growing { growth_rate } => {
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// Grow memory vector (add dimensions or strengthen existing)
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self.grow(growth_rate);
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// Transition to mature when growth slows
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if current_age > 100 && growth_rate < 0.01 {
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self.lifecycle = LifecycleStage::Mature { stability: current_coherence };
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return LifecycleEvent::StageTransition {
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from: "Growing".to_string(),
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to: "Mature".to_string(),
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};
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}
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// Adjust growth rate based on coherence
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let new_rate = growth_rate * if current_coherence > 0.7 { 1.01 } else { 0.99 };
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self.lifecycle = LifecycleStage::Growing { growth_rate: new_rate };
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}
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LifecycleStage::Mature { stability } => {
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// Mature agents maintain stability
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let new_stability = (stability * 0.99 + current_coherence * 0.01).clamp(0.0, 1.0);
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// Begin senescence if stability drops or age is high
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if new_stability < 0.4 || current_age > 1000 {
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self.lifecycle = LifecycleStage::Senescent { decay_rate: 0.01 };
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return LifecycleEvent::StageTransition {
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from: "Mature".to_string(),
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to: "Senescent".to_string(),
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};
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}
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self.lifecycle = LifecycleStage::Mature { stability: new_stability };
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}
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LifecycleStage::Senescent { decay_rate } => {
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// Memory begins to decay
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self.decay(decay_rate);
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// Accelerate decay with low coherence
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let new_rate = if current_coherence < 0.3 { decay_rate * 1.1 } else { decay_rate };
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// Begin dying when too decayed
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if memory_str < 0.2 {
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self.lifecycle = LifecycleStage::Dying { dissolution_progress: 0.0 };
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return LifecycleEvent::StageTransition {
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from: "Senescent".to_string(),
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to: "Dying".to_string(),
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};
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}
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self.lifecycle = LifecycleStage::Senescent { decay_rate: new_rate };
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}
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LifecycleStage::Dying { dissolution_progress } => {
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let new_progress = dissolution_progress + 0.1;
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self.dissolve(new_progress);
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if new_progress >= 1.0 {
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self.lifecycle = LifecycleStage::Dead;
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return LifecycleEvent::Death { age: current_age };
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}
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self.lifecycle = LifecycleStage::Dying { dissolution_progress: new_progress };
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}
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LifecycleStage::Dead => {
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return LifecycleEvent::AlreadyDead;
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}
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}
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LifecycleEvent::None
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}
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fn calculate_coherence(&self, environment_coherence: f64) -> f64 {
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// Coherence based on memory vector structure
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let internal_coherence = self.memory_strength();
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// Blend with environment
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(internal_coherence * 0.6 + environment_coherence * 0.4).clamp(0.0, 1.0)
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}
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fn memory_strength(&self) -> f64 {
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if self.memory_vector.is_empty() {
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return 0.0;
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}
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let magnitude: f64 = self.memory_vector.iter().map(|v| v * v).sum::<f64>().sqrt();
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let dim = self.memory_vector.len() as f64;
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(magnitude / dim.sqrt()).min(1.0)
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}
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fn grow(&mut self, rate: f64) {
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// Strengthen existing memories
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for v in &mut self.memory_vector {
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*v *= 1.0 + rate * 0.1;
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}
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}
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fn decay(&mut self, rate: f64) {
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// Weaken memories
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for v in &mut self.memory_vector {
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*v *= 1.0 - rate;
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}
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}
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fn dissolve(&mut self, progress: f64) {
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// Zero out memory proportionally
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let threshold = progress;
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for v in &mut self.memory_vector {
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if v.abs() < threshold {
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*v = 0.0;
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}
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}
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}
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/// Attempt to reproduce (create offspring agent)
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pub fn reproduce(&self) -> Option<MemoryAgent> {
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// Can only reproduce when mature and coherent
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if !matches!(self.lifecycle, LifecycleStage::Mature { stability } if stability > 0.6) {
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return None;
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}
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if self.coherence < 0.7 {
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return None;
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}
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// Create offspring with mutated memory
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let mut offspring_memory = self.memory_vector.clone();
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for v in &mut offspring_memory {
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*v *= 0.9 + pseudo_random_f64() * 0.2; // Small mutation
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}
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Some(MemoryAgent::birth(
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self.id * 1000 + self.age,
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offspring_memory,
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))
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}
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pub fn is_alive(&self) -> bool {
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!matches!(self.lifecycle, LifecycleStage::Dead)
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}
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}
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#[derive(Debug)]
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pub enum LifecycleEvent {
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None,
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StageTransition { from: String, to: String },
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Death { age: u64 },
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AlreadyDead,
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}
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// =============================================================================
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// Part 3: Hardware-Enforced Spike/Silence Semantics
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// =============================================================================
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/// A spike buffer that enforces spike/silence semantics
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pub struct SpikeBuffer {
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/// Spike times (as tick numbers)
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spikes: Vec<u64>,
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/// Maximum spikes in buffer
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capacity: usize,
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/// Current tick
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current_tick: u64,
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/// Refractory period (minimum ticks between spikes)
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refractory_period: u64,
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/// Last spike time
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last_spike: u64,
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/// Energy cost per spike
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spike_cost: f64,
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/// Current energy
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energy: f64,
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/// Silence counter (ticks since last spike)
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silence_duration: u64,
|
|
}
|
|
|
|
impl SpikeBuffer {
|
|
pub fn new(capacity: usize) -> Self {
|
|
Self {
|
|
spikes: Vec::with_capacity(capacity),
|
|
capacity,
|
|
current_tick: 0,
|
|
refractory_period: 3,
|
|
last_spike: 0,
|
|
spike_cost: 1.0,
|
|
energy: 100.0,
|
|
silence_duration: 0,
|
|
}
|
|
}
|
|
|
|
/// Attempt to emit a spike
|
|
pub fn spike(&mut self, strength: f64) -> SpikeResult {
|
|
self.current_tick += 1;
|
|
|
|
// Check refractory period
|
|
if self.current_tick - self.last_spike < self.refractory_period {
|
|
self.silence_duration += 1;
|
|
return SpikeResult::Refractory {
|
|
ticks_remaining: self.refractory_period - (self.current_tick - self.last_spike),
|
|
};
|
|
}
|
|
|
|
// Check energy
|
|
let cost = self.spike_cost * strength;
|
|
if self.energy < cost {
|
|
self.silence_duration += 1;
|
|
return SpikeResult::InsufficientEnergy {
|
|
required: cost,
|
|
available: self.energy,
|
|
};
|
|
}
|
|
|
|
// Emit spike
|
|
self.energy -= cost;
|
|
self.last_spike = self.current_tick;
|
|
self.spikes.push(self.current_tick);
|
|
|
|
// Maintain capacity
|
|
if self.spikes.len() > self.capacity {
|
|
self.spikes.remove(0);
|
|
}
|
|
|
|
let silence_was = self.silence_duration;
|
|
self.silence_duration = 0;
|
|
|
|
SpikeResult::Emitted {
|
|
tick: self.current_tick,
|
|
strength,
|
|
silence_before: silence_was,
|
|
}
|
|
}
|
|
|
|
/// Advance time without spiking (silence)
|
|
pub fn silence(&mut self) {
|
|
self.current_tick += 1;
|
|
self.silence_duration += 1;
|
|
|
|
// Energy slowly regenerates during silence
|
|
self.energy = (self.energy + 0.5).min(100.0);
|
|
}
|
|
|
|
/// Get spike rate (spikes per tick in recent window)
|
|
pub fn spike_rate(&self, window: u64) -> f64 {
|
|
let min_tick = self.current_tick.saturating_sub(window);
|
|
let recent_spikes = self.spikes.iter()
|
|
.filter(|&&t| t >= min_tick)
|
|
.count();
|
|
recent_spikes as f64 / window as f64
|
|
}
|
|
|
|
/// Check if in silence (no recent spikes)
|
|
pub fn is_silent(&self, threshold: u64) -> bool {
|
|
self.silence_duration >= threshold
|
|
}
|
|
}
|
|
|
|
#[derive(Debug)]
|
|
pub enum SpikeResult {
|
|
/// Spike successfully emitted
|
|
Emitted {
|
|
tick: u64,
|
|
strength: f64,
|
|
silence_before: u64,
|
|
},
|
|
/// In refractory period, cannot spike
|
|
Refractory { ticks_remaining: u64 },
|
|
/// Not enough energy to spike
|
|
InsufficientEnergy { required: f64, available: f64 },
|
|
}
|
|
|
|
// =============================================================================
|
|
// Part 4: The Complete Extropic Substrate
|
|
// =============================================================================
|
|
|
|
/// The complete extropic intelligence substrate
|
|
pub struct ExtropicSubstrate {
|
|
/// All agents in the substrate
|
|
agents: HashMap<u64, MemoryAgent>,
|
|
|
|
/// Global coherence
|
|
coherence: f64,
|
|
|
|
/// Spike bus for inter-agent communication
|
|
spike_bus: SpikeBus,
|
|
|
|
/// Current tick
|
|
tick: u64,
|
|
|
|
/// Next agent ID
|
|
next_agent_id: AtomicU64,
|
|
|
|
/// Configuration
|
|
config: SubstrateConfig,
|
|
}
|
|
|
|
struct SpikeBus {
|
|
/// Recent spikes from all agents
|
|
spikes: Vec<(u64, u64, f64)>, // (agent_id, tick, strength)
|
|
|
|
/// Maximum bus capacity
|
|
capacity: usize,
|
|
}
|
|
|
|
struct SubstrateConfig {
|
|
/// Maximum agents
|
|
max_agents: usize,
|
|
|
|
/// Minimum global coherence
|
|
min_coherence: f64,
|
|
|
|
/// Birth rate control
|
|
birth_rate_limit: f64,
|
|
}
|
|
|
|
impl ExtropicSubstrate {
|
|
pub fn new(max_agents: usize) -> Self {
|
|
Self {
|
|
agents: HashMap::new(),
|
|
coherence: 1.0,
|
|
spike_bus: SpikeBus {
|
|
spikes: Vec::new(),
|
|
capacity: 1000,
|
|
},
|
|
tick: 0,
|
|
next_agent_id: AtomicU64::new(1),
|
|
config: SubstrateConfig {
|
|
max_agents,
|
|
min_coherence: 0.3,
|
|
birth_rate_limit: 0.1,
|
|
},
|
|
}
|
|
}
|
|
|
|
/// Spawn a new agent into the substrate
|
|
pub fn spawn(&mut self, seed: Vec<f64>) -> Option<u64> {
|
|
if self.agents.len() >= self.config.max_agents {
|
|
return None;
|
|
}
|
|
|
|
if self.coherence < self.config.min_coherence {
|
|
return None; // Too incoherent to spawn
|
|
}
|
|
|
|
let id = self.next_agent_id.fetch_add(1, Ordering::SeqCst);
|
|
let agent = MemoryAgent::birth(id, seed);
|
|
self.agents.insert(id, agent);
|
|
Some(id)
|
|
}
|
|
|
|
/// Tick the entire substrate
|
|
pub fn tick(&mut self) -> SubstrateTick {
|
|
self.tick += 1;
|
|
|
|
let mut events = Vec::new();
|
|
let mut births = Vec::new();
|
|
let mut deaths = Vec::new();
|
|
|
|
// Get agent count for birth rate calculation
|
|
let agent_count = self.agents.len();
|
|
let current_coherence = self.coherence;
|
|
|
|
// Tick all agents
|
|
for (id, agent) in &mut self.agents {
|
|
let event = agent.tick(current_coherence);
|
|
|
|
match &event {
|
|
LifecycleEvent::Death { age } => {
|
|
deaths.push(*id);
|
|
events.push((*id, format!("Death at age {}", age)));
|
|
}
|
|
LifecycleEvent::StageTransition { from, to } => {
|
|
events.push((*id, format!("Transition: {} -> {}", from, to)));
|
|
}
|
|
_ => {}
|
|
}
|
|
|
|
// Check for reproduction
|
|
if agent_count > 0 {
|
|
if let Some(offspring) = agent.reproduce() {
|
|
if births.len() as f64 / agent_count as f64 <= self.config.birth_rate_limit {
|
|
births.push(offspring);
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
// Remove dead agents
|
|
for id in &deaths {
|
|
self.agents.remove(id);
|
|
}
|
|
|
|
// Count births before consuming the vector
|
|
let birth_count = births.len();
|
|
|
|
// Add offspring
|
|
for offspring in births {
|
|
let id = offspring.id;
|
|
if self.agents.len() < self.config.max_agents {
|
|
self.agents.insert(id, offspring);
|
|
events.push((id, "Born".to_string()));
|
|
}
|
|
}
|
|
|
|
// Update global coherence
|
|
self.coherence = self.calculate_global_coherence();
|
|
|
|
SubstrateTick {
|
|
tick: self.tick,
|
|
agent_count: self.agents.len(),
|
|
coherence: self.coherence,
|
|
births: birth_count,
|
|
deaths: deaths.len(),
|
|
events,
|
|
}
|
|
}
|
|
|
|
fn calculate_global_coherence(&self) -> f64 {
|
|
if self.agents.is_empty() {
|
|
return 1.0;
|
|
}
|
|
|
|
let total: f64 = self.agents.values()
|
|
.filter(|a| a.is_alive())
|
|
.map(|a| a.coherence)
|
|
.sum();
|
|
|
|
let alive_count = self.agents.values().filter(|a| a.is_alive()).count();
|
|
if alive_count == 0 {
|
|
return 1.0;
|
|
}
|
|
|
|
total / alive_count as f64
|
|
}
|
|
|
|
pub fn agent_count(&self) -> usize {
|
|
self.agents.len()
|
|
}
|
|
|
|
pub fn coherence(&self) -> f64 {
|
|
self.coherence
|
|
}
|
|
|
|
pub fn status(&self) -> String {
|
|
let alive = self.agents.values().filter(|a| a.is_alive()).count();
|
|
let stages: HashMap<String, usize> = self.agents.values()
|
|
.map(|a| match &a.lifecycle {
|
|
LifecycleStage::Embryonic { .. } => "Embryonic",
|
|
LifecycleStage::Growing { .. } => "Growing",
|
|
LifecycleStage::Mature { .. } => "Mature",
|
|
LifecycleStage::Senescent { .. } => "Senescent",
|
|
LifecycleStage::Dying { .. } => "Dying",
|
|
LifecycleStage::Dead => "Dead",
|
|
})
|
|
.fold(HashMap::new(), |mut acc, s| {
|
|
*acc.entry(s.to_string()).or_insert(0) += 1;
|
|
acc
|
|
});
|
|
|
|
format!(
|
|
"Tick {} | Coherence: {:.3} | Alive: {} | Stages: {:?}",
|
|
self.tick, self.coherence, alive, stages
|
|
)
|
|
}
|
|
}
|
|
|
|
#[derive(Debug)]
|
|
pub struct SubstrateTick {
|
|
pub tick: u64,
|
|
pub agent_count: usize,
|
|
pub coherence: f64,
|
|
pub births: usize,
|
|
pub deaths: usize,
|
|
pub events: Vec<(u64, String)>,
|
|
}
|
|
|
|
// Simple pseudo-random using atomic counter
|
|
fn pseudo_random_f64() -> f64 {
|
|
static SEED: AtomicU64 = AtomicU64::new(42);
|
|
let s = SEED.fetch_add(1, Ordering::Relaxed);
|
|
let x = s.wrapping_mul(0x5DEECE66D).wrapping_add(0xB);
|
|
((x >> 16) & 0xFFFF) as f64 / 65536.0
|
|
}
|
|
|
|
#[cfg(test)]
|
|
mod tests {
|
|
use super::*;
|
|
|
|
#[test]
|
|
fn test_goal_mutation() {
|
|
let mut goal = MutableGoal::new(vec![1.0, 0.0, 0.0]);
|
|
|
|
let feedback = GoalFeedback {
|
|
outcome_weights: vec![
|
|
(vec![0.5, 0.5, 0.0], 0.8), // Good outcome nearby
|
|
(vec![0.0, 1.0, 0.0], -0.3), // Bad outcome to avoid
|
|
],
|
|
};
|
|
|
|
println!("Initial goal: {:?}", goal.state);
|
|
|
|
for i in 0..20 {
|
|
let result = goal.mutate(&feedback, 0.8);
|
|
println!("Mutation {}: {:?}", i, result);
|
|
println!(" State: {:?}", goal.state);
|
|
println!(" Attractors discovered: {}", goal.discovered_attractors.len());
|
|
}
|
|
|
|
// Goal should have moved
|
|
assert!(goal.state[0] != 1.0 || goal.state[1] != 0.0,
|
|
"Goal should have mutated");
|
|
}
|
|
|
|
#[test]
|
|
fn test_agent_lifecycle() {
|
|
let mut agent = MemoryAgent::birth(1, vec![1.0, 1.0, 1.0, 1.0]);
|
|
|
|
println!("Initial: {:?}", agent.lifecycle);
|
|
|
|
let mut stage_changes = 0;
|
|
for tick in 0..2000 {
|
|
let event = agent.tick(0.8);
|
|
|
|
if let LifecycleEvent::StageTransition { from, to } = &event {
|
|
println!("Tick {}: {} -> {}", tick, from, to);
|
|
stage_changes += 1;
|
|
}
|
|
|
|
if let LifecycleEvent::Death { age } = &event {
|
|
println!("Agent died at age {}", age);
|
|
break;
|
|
}
|
|
}
|
|
|
|
assert!(stage_changes >= 2, "Should have gone through multiple stages");
|
|
}
|
|
|
|
#[test]
|
|
fn test_spike_buffer() {
|
|
let mut buffer = SpikeBuffer::new(10);
|
|
|
|
// Try to spike rapidly
|
|
let mut emitted = 0;
|
|
let mut blocked = 0;
|
|
|
|
for _ in 0..20 {
|
|
match buffer.spike(1.0) {
|
|
SpikeResult::Emitted { silence_before, .. } => {
|
|
println!("Spike! Silence before: {}", silence_before);
|
|
emitted += 1;
|
|
}
|
|
SpikeResult::Refractory { ticks_remaining } => {
|
|
println!("Refractory: {} ticks remaining", ticks_remaining);
|
|
blocked += 1;
|
|
buffer.silence(); // Advance time
|
|
}
|
|
SpikeResult::InsufficientEnergy { .. } => {
|
|
println!("No energy");
|
|
blocked += 1;
|
|
buffer.silence();
|
|
}
|
|
}
|
|
}
|
|
|
|
println!("Emitted: {}, Blocked: {}", emitted, blocked);
|
|
assert!(blocked > 0, "Refractory period should block some spikes");
|
|
}
|
|
|
|
#[test]
|
|
fn test_extropic_substrate() {
|
|
let mut substrate = ExtropicSubstrate::new(50);
|
|
|
|
// Spawn initial agents
|
|
for i in 0..10 {
|
|
let seed = vec![1.0, (i as f64) * 0.1, 0.5, 0.5];
|
|
substrate.spawn(seed);
|
|
}
|
|
|
|
println!("Initial: {}", substrate.status());
|
|
|
|
// Run simulation
|
|
for tick in 0..500 {
|
|
let result = substrate.tick();
|
|
|
|
if tick % 50 == 0 || result.births > 0 || result.deaths > 0 {
|
|
println!("Tick {}: births={}, deaths={}, agents={}",
|
|
tick, result.births, result.deaths, result.agent_count);
|
|
println!(" {}", substrate.status());
|
|
}
|
|
|
|
for (agent_id, event) in &result.events {
|
|
if !event.is_empty() {
|
|
println!(" Agent {}: {}", agent_id, event);
|
|
}
|
|
}
|
|
}
|
|
|
|
println!("\nFinal: {}", substrate.status());
|
|
|
|
// Substrate should still be coherent
|
|
assert!(substrate.coherence() > 0.3, "Substrate should maintain coherence");
|
|
}
|
|
|
|
#[test]
|
|
fn test_reproduction() {
|
|
let mut substrate = ExtropicSubstrate::new(100);
|
|
|
|
// Spawn a few agents
|
|
for _ in 0..5 {
|
|
substrate.spawn(vec![1.0, 1.0, 1.0, 1.0]);
|
|
}
|
|
|
|
let initial_count = substrate.agent_count();
|
|
|
|
// Run until reproduction happens
|
|
let mut reproductions = 0;
|
|
for _ in 0..1000 {
|
|
let result = substrate.tick();
|
|
reproductions += result.births;
|
|
|
|
if reproductions > 0 {
|
|
break;
|
|
}
|
|
}
|
|
|
|
// May or may not reproduce depending on lifecycle timing
|
|
println!("Reproductions: {}", reproductions);
|
|
println!("Final count: {} (started with {})", substrate.agent_count(), initial_count);
|
|
}
|
|
}
|