/**
 * Pattern Recognition - Neural pattern analysis and learning
 *
 * Identifies patterns in agent behavior, task execution, and system performance
 * to improve swarm intelligence and coordination effectiveness.
 */
import { EventEmitter } from 'eventemitter3';
import { Agent, Task, OperationResult } from '../types';
export interface Pattern {
    id: string;
    type: PatternType;
    confidence: number;
    frequency: number;
    context: any;
    triggers: string[];
    outcomes: any[];
    learnedAt: Date;
    updatedAt: Date;
}
export type PatternType = 'task-execution' | 'agent-behavior' | 'performance-trend' | 'error-pattern' | 'coordination-pattern' | 'resource-usage';
export interface PatternAnalysis {
    patterns: Pattern[];
    insights: string[];
    recommendations: string[];
    confidence: number;
    timestamp: Date;
}
export declare class PatternRecognition extends EventEmitter {
    private patterns;
    private executionHistory;
    private maxHistorySize;
    private minConfidenceThreshold;
    constructor();
    initialize(): Promise<OperationResult>;
    /**
     * Analyze execution data to identify patterns
     */
    analyzeExecution(task: Task, agents: Agent[], result: any): Promise<PatternAnalysis>;
    private analyzeTaskPatterns;
    private analyzeAgentBehaviorPatterns;
    private analyzePerformancePatterns;
    private analyzeCoordinationPatterns;
    private groupExecutionsByTaskType;
    private calculateTrend;
    private generateInsights;
    private generateRecommendations;
    private calculateOverallConfidence;
    getPatternById(patternId: string): Pattern | undefined;
    getPatternsByType(type: PatternType): Pattern[];
    getAllPatterns(): Pattern[];
    shutdown(): Promise<OperationResult>;
}
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