import { SwarmTask, AntColonyState, SwarmConfig } from '../types.js';
/**
 * Swarm Intelligence — ant colony optimization for code analysis prioritization.
 *
 * Pheromone Trails:
 *   Each "ant" = lightweight analysis task for one file.
 *   Ants deposit pheromone when they find issues: strength += severity × confidence.
 *   Evaporation: strength *= (1 - evaporationRate) each cycle.
 *   High-pheromone files = high-priority for deep analysis.
 *
 * Task Partitioning:
 *   Large codebase → divide into territories by pheromone density.
 *   High-density → more ants (deeper analysis).
 *   Low-density → fewer ants (surface scan).
 *
 * Convergence: when top 10% of files account for 80% of total pheromone.
 */
export declare class SwarmIntelligence {
    private config;
    private state;
    private trailMap;
    constructor(config?: Partial<SwarmConfig>);
    /** Initialize colony with files to analyze */
    initialize(files: string[]): AntColonyState;
    /** Run one colony cycle — dispatch ants, collect results, update pheromones */
    runCycle(analyzeFile: (file: string) => Promise<{
        severity: number;
        confidence: number;
        issues: number;
    }>): Promise<AntColonyState>;
    /** Deposit pheromone on a trail (file path) */
    depositPheromone(trail: string[], strength: number): void;
    /** Evaporate all pheromone trails */
    evaporate(): void;
    /** Get files ranked by pheromone strength (highest first) */
    getHighPriorityFiles(topN?: number): string[];
    /** Partition files into task groups based on pheromone density */
    partitionTasks(antCount: number): SwarmTask[][];
    /** Calculate convergence score (0-1, higher = more focused) */
    private calculateConvergence;
    /** Create a swarm task */
    private createTask;
    /** Get colony state */
    getState(): AntColonyState;
    /** Reset colony */
    reset(): void;
}
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