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automata-metaverse

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Automaton execution engines for self-referential CanvasL/JSONL systems

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/** * A₄: Context Evolver Automaton * * Role: C₄ evolution context management (CANVASL format) * Uses meta-log-db: r5rs:export-4d, r5rs:format-fibration */ import { BaseAutomaton } from './types.js'; import type { AutomatonId, SwarmContext, AutomatonMessage } from './types.js'; import type { MetaLogDb } from 'meta-log-db'; export interface A4ContextEvolverState { contexts: Array<{ id: string; volumes: string[]; data?: any }>; initialized: boolean; } /** * A₄: Context Evolver Automaton * * Manages C₄ evolution contexts (4-cells) and evolves contexts from volumes */ export class A4_ContextEvolver extends BaseAutomaton { readonly id: 4 = 4; readonly name = 'A₄ Context Evolver'; readonly role = 'C₄ evolution context management (CANVASL format)'; state: A4ContextEvolverState = { contexts: [], initialized: false }; constructor(private db?: MetaLogDb) { super(); } async tick(swarm: SwarmContext): Promise<void> { if (!this.state.initialized) { await this.initialize(swarm); } // Context evolution happens based on volumes from A₃ const a3 = swarm.get(3); if (a3 && 'getVolumes' in a3 && typeof a3.getVolumes === 'function') { const volumes = (a3 as any).getVolumes(); await this.evolveContexts(volumes); } } private async initialize(swarm: SwarmContext): Promise<void> { this.state.initialized = true; console.log('A₄: Context Evolver initialized'); } private async evolveContexts(volumes: Array<{ id: string; faces: string[] }>): Promise<void> { if (!this.db || volumes.length === 0) { return; } try { // Create evolution contexts from volumes // Simple implementation: create a context from each volume const newContexts: Array<{ id: string; volumes: string[] }> = []; for (const volume of volumes) { const contextId = `context-${volume.id}`; if (!this.state.contexts.find(c => c.id === contextId)) { newContexts.push({ id: contextId, volumes: [volume.id] }); } } if (newContexts.length === 0) { return; } // Create C₄ cells (evolution contexts) using meta-log-db const cells = await Promise.all( newContexts.map(context => this.db!.executeR5RS('r5rs:create-cell', [ 4, // dimension (4-cell) context.id, context.volumes, // boundary: volumes that form the context { volumes: context.volumes, type: 'evolution-context', timestamp: Date.now() } ]) ) ); // Build chain complex with contexts const complex = await this.db.executeR5RS('r5rs:build-chain-complex', [cells]); // Export to 4D (CANVASL) with format fibration const canvasl = await this.db.executeR5RS('r5rs:export-4d', [complex]); const canvas = JSON.parse(canvasl); // Update state this.state.contexts.push(...newContexts.map((c, i) => ({ id: c.id, volumes: c.volumes, data: { format: 'canvasl-4d', betti: canvas.betti, euler: canvas.euler, valid: canvas.valid, ...canvas.chain } }))); console.log(`A₄: Evolved ${newContexts.length} new contexts`); } catch (error) { console.error('A₄: Error evolving contexts:', error); } } async receive(from: AutomatonId, message: AutomatonMessage): Promise<void> { if (message.type === 'request-contexts') { // Could send contexts back to requester } } /** * Get all evolution contexts */ getContexts(): Array<{ id: string; volumes: string[]; data?: any }> { return this.state.contexts; } }