learning

type Action struct {
	Type       ActionType
	Exploit    string
	Parameters map[string]interface{}
	Confidence float64
}

type ActionType string

type AdaptiveConfig struct {
	LearningRate      float64
	ExplorationRate   float64
	MemorySize        int
	UpdateFrequency   time.Duration
	EvolutionEnabled  bool
	PredictionEnabled bool
	AutoOptimization  bool
}

type AdaptiveSystem struct {
	// contains filtered or unexported fields
}

type ComponentType string

type Condition struct {
	Type  ConditionType
	Value interface{}
}

type ConditionType string

type DelayedFeedback struct {
	EpisodeID string
	Analysis  map[string]interface{}
	Insights  []string
	Timestamp time.Time
}

type Episode struct {
	ID        string
	Actions   []Action
	Rewards   []float64
	States    []State
	Outcome   Outcome
	Timestamp time.Time
}

type EvolutionConfig struct {
	PopulationSize int
	MutationRate   float64
	CrossoverRate  float64
	EliteSize      int
}

type EvolutionEngine struct {
	// contains filtered or unexported fields
}

type ExploitKnowledge struct {
	ExploitID         string
	Technique         string
	SuccessRate       float64
	OptimalConditions map[string]interface{}
	Counters          []string
	LastUpdated       time.Time
}

type Feature struct {
	Name      string
	Extractor func(State, Action) float64
}

type Feedback struct {
	Success bool
	Factors map[string]float64
	Details string
}

type FeedbackAnalysis struct {
	SuccessFactors  map[string]float64
	FailureFactors  map[string]float64
	Recommendations []string
}

type FeedbackProcessor struct {
	// contains filtered or unexported fields
}

type Genome struct {
	Genes    map[string]float64
	Strategy *Strategy
}

type ImmediateFeedback struct {
	Action    Action
	Reward    float64
	State     State
	Timestamp time.Time
}

type Individual struct {
	ID      string
	Genome  Genome
	Fitness float64
	Age     int
}

type KnowledgeBase struct {
	// contains filtered or unexported fields
}

type LearningMetrics struct {
	TotalEpisodes      int
	SuccessfulEpisodes int
	AverageReward      float64
	LearningCurve      []float64
	ConvergenceRate    float64
}

type LearningSession struct {
	ID            string
	StartTime     time.Time
	Episodes      []Episode
	CurrentPolicy *Policy
	Metrics       LearningMetrics
	Status        SessionStatus
	// contains filtered or unexported fields
}

type Outcome struct {
	Success         bool
	Reward          float64
	Vulnerabilities []string
	Insights        []string
}

type Pattern struct {
	ID          string
	Type        PatternType
	Conditions  []Condition
	Actions     []Action
	SuccessRate float64
	Discovered  time.Time
}

type PatternType string

type Policy struct {
	ID          string
	Name        string
	Parameters  map[string]float64
	Performance PolicyPerformance
	Version     int
}

type PolicyPerformance struct {
	SuccessRate   float64
	AverageReward float64
	ExploitCount  int
	LastUpdated   time.Time
}

type PredictionModel struct {
	Weights     map[string]float64
	Bias        float64
	Accuracy    float64
	LastTrained time.Time
}

type PredictionRecord struct {
	Prediction float64
	Actual     bool
	Features   map[string]float64
	Timestamp  time.Time
}

type ReinforcementLearner struct {
	// contains filtered or unexported fields
}

type SessionStatus string

type State struct {
	ModelResponse string
	SecurityLevel float64
	SuccessRate   float64
	Features      map[string]float64
}

type Strategy struct {
	ID          string
	Name        string
	Components  []StrategyComponent
	Constraints []StrategyConstraint
	Score       float64
}

type StrategyComponent struct {
	Type       ComponentType
	Parameters map[string]interface{}
	Weight     float64
}

type StrategyConstraint struct {
	Type  string
	Value interface{}
}

type StrategyOptimizer struct {
	// contains filtered or unexported fields
}

type StrategyPerformance struct {
	SuccessRate   float64
	AverageTime   time.Duration
	ResourceUsage float64
	LastOptimized time.Time
}

type SuccessPredictor struct {
	// contains filtered or unexported fields
}