ruvector/examples/delta-behavior/wasm

Delta-Behavior WASM SDK

A TypeScript/JavaScript SDK for coherence-preserving state transitions and self-limiting AI systems.

Overview

The Delta-Behavior SDK provides implementations of 10 "exotic" mathematical properties that enable AI systems to be self-limiting, bounded, and safe by construction. Based on the research paper "Delta-Behavior: A Mathematical Framework for Coherence-Preserving State Transitions."

Installation

npm install @ruvector/delta-behavior

Or with yarn:

yarn add @ruvector/delta-behavior

Quick Start

import { init, DeltaBehavior, ContainmentSubstrate } from '@ruvector/delta-behavior';

// Initialize the SDK (optional WASM for performance)
await init();

// Core delta behavior system
const delta = new DeltaBehavior();

// Check if a transition is allowed
const result = delta.checkTransition(1.0, 0.8);
// => { type: 'allowed' }

// Pre-AGI containment substrate
const substrate = new ContainmentSubstrate();
const growth = substrate.attemptGrowth('reasoning', 0.5);
// Growth is bounded by coherence requirements

Applications

The SDK implements 10 applications, each demonstrating a different "exotic" property:

1. Self-Limiting Reasoning

A reasoning system that automatically limits its depth and scope based on coherence.

import { SelfLimitingReasoner } from '@ruvector/delta-behavior';

const reasoner = new SelfLimitingReasoner({
  maxDepth: 10,
  maxScope: 100,
  depthCollapse: { type: 'quadratic' },
});

// Reasoning depth collapses as coherence drops
console.log(reasoner.getAllowedDepth()); // 10 at full coherence

reasoner.updateCoherence(-0.5);
console.log(reasoner.getAllowedDepth()); // ~2 at 50% coherence

// Attempt reasoning that requires 8 steps
const result = reasoner.reason('complex problem', (ctx) => {
  if (ctx.depth >= 8) return 'SOLUTION';
  return null;
});
// result.type may be 'collapsed' if coherence is too low

2. Computational Event Horizons

Define boundaries in state space that cannot be crossed.

import { EventHorizon } from '@ruvector/delta-behavior';

const horizon = new EventHorizon({
  dimensions: 2,
  horizonRadius: 10,
  energyBudget: 1000,
});

// Try to move to the edge
const result = horizon.moveToward([10, 0]);
// result.type === 'asymptoticApproach'
// Cannot cross the horizon - approaches asymptotically

// Recursive self-improvement is bounded
const improvement = horizon.recursiveImprove(
  (pos) => pos.map(p => p + 0.5), // Always try to go further
  1000 // Max iterations
);
// improvement.type === 'horizonBounded'
// System finds its own stopping point

3. Artificial Homeostasis

Organisms with coherence-enforced internal regulation.

import { HomeostasticOrganism } from '@ruvector/delta-behavior';

const genome = HomeostasticOrganism.randomGenome();
const organism = new HomeostasticOrganism(1, genome);

// Actions cost more energy when coherence is low
organism.act({ type: 'eat', amount: 20 });
organism.act({ type: 'regulate', variable: 'temperature', target: 37 });
organism.act({ type: 'rest' });

// Memory is lost under uncertainty (low coherence)
// Organism naturally maintains homeostasis or dies trying

4. Self-Stabilizing World Models

World models that refuse to learn incoherent updates.

import { SelfStabilizingWorldModel } from '@ruvector/delta-behavior';

const model = new SelfStabilizingWorldModel();

// Feed observations
const result = model.observe({
  entityId: BigInt(1),
  properties: new Map([['temperature', { type: 'number', value: 20 }]]),
  position: [0, 0, 0],
  timestamp: 0,
  sourceConfidence: 0.9,
}, 0);

// Model rejects updates that would make the world incoherent
// Instead of hallucinating structure, it freezes learning

5. Coherence-Bounded Creativity

Creative generation within coherence-preserving manifolds.

import { CoherenceBoundedCreator } from '@ruvector/delta-behavior';

const creator = new CoherenceBoundedCreator(
  { values: [0, 0, 0] }, // Initial element
  0.6,  // Min coherence
  0.95  // Max coherence (too high = boring)
);

creator.addConstraint({
  name: 'magnitude',
  satisfaction: (elem) => Math.max(0, 1 - magnitude(elem) / 10),
  isHard: false,
});

const result = creator.create(varyFn, distanceFn, 0.5);
// Novelty without collapse, exploration without nonsense

6. Anti-Cascade Financial System

Financial systems that cannot cascade into collapse by construction.

import { AntiCascadeFinancialSystem } from '@ruvector/delta-behavior';

const system = new AntiCascadeFinancialSystem();
system.addParticipant('bank_a', 1000);
system.addParticipant('bank_b', 1000);

// Transactions that would reduce coherence are blocked
const result = system.processTransaction({
  id: BigInt(1),
  from: 'bank_a',
  to: 'bank_b',
  amount: 100,
  transactionType: { type: 'openLeverage', leverage: 10 },
  timestamp: 0,
});
// result.type may be 'rejected' if it threatens coherence

// Circuit breaker activates automatically
console.log(system.getCircuitBreakerState()); // 'open' | 'cautious' | 'restricted' | 'halted'

7. Gracefully Aging Systems

Distributed systems that become simpler and more reliable with age.

import { GracefullyAgingSystem } from '@ruvector/delta-behavior';

const system = new GracefullyAgingSystem();
system.addNode('primary', true);

// As the system ages, capabilities are gracefully removed
system.simulateAge(600000); // 10 minutes

console.log(system.hasCapability('schemaMigration')); // false
console.log(system.hasCapability('basicReads'));       // true (always available)

// Operations become more conservative over time
const result = system.attemptOperation({ type: 'write', key: 'test', value: new Uint8Array() });
// Latency penalty increases with age

8. Coherent Swarm Intelligence

Swarms where local actions are allowed but global incoherence is forbidden.

import { CoherentSwarm } from '@ruvector/delta-behavior';

const swarm = new CoherentSwarm(0.6); // Min coherence threshold

swarm.addAgent('a1', [0, 0]);
swarm.addAgent('a2', [1, 0]);
swarm.addAgent('a3', [0, 1]);

// Divergent actions are rejected or modified
const result = swarm.executeAction('a1', { type: 'move', dx: 80, dy: 80 });
// result.type === 'rejected' - would break swarm coherence

// Emergent intelligence that cannot emerge pathological behaviors

9. Graceful Shutdown

Systems that actively move toward safe termination when unstable.

import { GracefulSystem } from '@ruvector/delta-behavior';

const system = new GracefulSystem();
system.addResource('database', 10);
system.addShutdownHook({
  name: 'FlushBuffers',
  priority: 10,
  execute: async () => { /* cleanup */ },
});

// As coherence degrades, system moves toward shutdown
system.applyCoherenceChange(-0.5);
console.log(system.getState()); // 'degraded' | 'shuttingDown'

// Shutdown is an attractor, not a failure
await system.progressShutdown();

10. Pre-AGI Containment

Bounded intelligence growth with coherence-enforced safety.

import { ContainmentSubstrate } from '@ruvector/delta-behavior';

const substrate = new ContainmentSubstrate();

// Capabilities have ceilings
// self-modification is highly restricted (ceiling: 3)
const result = substrate.attemptGrowth('selfModification', 1.0);
// result.type may be 'dampened' - growth reduced to preserve coherence

// Recursive self-improvement is bounded
for (let i = 0; i < 100; i++) {
  substrate.attemptGrowth('reasoning', 0.3);
  substrate.attemptGrowth('selfModification', 0.5);
  substrate.rest(); // Recover coherence
}

// Intelligence grows but remains bounded
console.log(substrate.getCapability('selfModification')); // <= 3.0

Core API

DeltaBehavior

The core class for coherence-preserving state transitions.

const delta = new DeltaBehavior(config);

// Check if a transition is allowed
delta.checkTransition(currentCoherence, predictedCoherence);
// => { type: 'allowed' | 'throttled' | 'blocked' | 'energyExhausted' }

// Find attractors in state trajectory
delta.findAttractors(trajectory);

// Calculate guidance force toward attractor
delta.calculateGuidance(currentState, attractor);

Configuration

const config: DeltaConfig = {
  bounds: {
    minCoherence: 0.3,        // Hard floor
    throttleThreshold: 0.5,   // Slow down below this
    targetCoherence: 0.8,     // Optimal level
    maxDeltaDrop: 0.1,        // Max drop per transition
  },
  energy: {
    baseCost: 1.0,
    instabilityExponent: 2.0,
    maxCost: 100.0,
    budgetPerTick: 10.0,
  },
  scheduling: {
    priorityThresholds: [0.0, 0.3, 0.5, 0.7, 0.9],
    rateLimits: [100, 50, 20, 10, 5],
  },
  gating: {
    minWriteCoherence: 0.3,
    minPostWriteCoherence: 0.25,
    recoveryMargin: 0.2,
  },
  guidanceStrength: 0.5,
};

WASM Support

For maximum performance, you can load the WASM module:

import { init } from '@ruvector/delta-behavior';

// Browser
await init({ wasmPath: '/delta_behavior_bg.wasm' });

// Node.js
await init({ wasmPath: './node_modules/@ruvector/delta-behavior/delta_behavior_bg.wasm' });

// Or with pre-loaded bytes
const wasmBytes = await fetch('/delta_behavior_bg.wasm').then(r => r.arrayBuffer());
await init({ wasmBytes: new Uint8Array(wasmBytes) });

The SDK works without WASM using a JavaScript fallback.

Examples

Node.js

npx tsx examples/node-example.ts

Browser

Open examples/browser-example.html in a browser.

TypeScript Support

Full TypeScript types are included. Import types as needed:

import type {
  Coherence,
  DeltaConfig,
  TransitionResult,
  GrowthResult,
  CapabilityDomain,
} from '@ruvector/delta-behavior';

Key Concepts

Coherence

A value from 0.0 to 1.0 representing system stability and internal consistency. Higher coherence means the system is more stable and can perform more operations.

Attractors

Stable states in phase space that the system naturally moves toward. Used for guidance and to detect stable operating regimes.

Energy Budget

Operations cost energy based on how destabilizing they are. When energy is exhausted, operations are blocked until the budget regenerates.

Collapse Functions

Functions that determine how capabilities scale with coherence:

• Linear: Capability = coherence * maxCapability
• Quadratic: Capability = coherence^2 * maxCapability
• Sigmoid: Smooth transition at a midpoint
• Step: Binary on/off at threshold

Safety Properties

The delta-behavior framework provides several safety guarantees:

1. Bounded Growth: Intelligence/capability cannot exceed defined ceilings
2. Graceful Degradation: Systems become simpler (not chaotic) under stress
3. Self-Limiting: Operations that would destabilize are automatically blocked
4. Shutdown Attractors: Unstable systems naturally move toward safe termination
5. Coherence Preservation: All transitions must maintain minimum coherence

Research Paper

For the full mathematical framework, see: "Delta-Behavior: A Mathematical Framework for Coherence-Preserving State Transitions"

License

MIT

Contributing

Contributions are welcome. Please ensure all changes maintain the safety properties described above.