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271x 15x 256x 771x 771x 771x 771x 771x 771x 771x 683x 36x 51x 1x 500x 500x 500x 500x 500x 500x 15x 15x 15x 15x 15x 15x 15x 15x 15x 869x 88x 88x 88x 88x 88x 88x 59x 59x 59x 29x 18x 18x 11x 11x 11x 1x 10x 5x 5x 5x 5x 1075x 1075x 44x 1031x 11x 11x 11x 11x 11x 11x 11x 11x 279x 279x 279x 64x 64x 64x 448x 448x 448x | /**
* AI Decision Tree for Korean Martial Arts Combat
* Strategic decision-making system with multiple tactical options
*
* **Korean Philosophy Integration (한국 무술 철학)**:
* - 지피지기백전불태 (知彼知己百戰不殆) - Know the enemy, know yourself, and victory is certain
* - 이순응변 (以柔應變) - Adapt with flexibility and flow like water
* - 급소공격 (急所攻擊) - Strike vital points with precision and timing
*/
import { PlayerState } from "@/systems/player";
import { TrigramSystem } from "@/systems/TrigramSystem";
import {
KOREAN_VITAL_POINTS,
getVitalPointById,
} from "@/systems/vitalpoint/KoreanVitalPoints";
import { Position, TrigramStance, PlayerArchetype } from "@/types";
import { DifficultyParameters } from "./AdaptiveDifficulty";
import { AIPersonality, getArchetypeBehavior } from "./AIPersonality";
import { AIComboSystem } from "./ComboSystem";
/**
* AI action types
*/
export enum AIActionType {
ATTACK = "attack",
TECHNIQUE = "technique",
DEFEND = "defend",
COUNTER = "counter",
RETREAT = "retreat",
APPROACH = "approach",
CIRCLE = "circle",
STANCE_CHANGE = "stance_change",
FEINT = "feint",
WAIT = "wait",
COMBO = "combo",
}
/**
* AI decision result
*/
export interface AIDecision {
readonly action: AIActionType;
readonly targetPosition?: Position;
readonly targetStance?: TrigramStance;
readonly targetVitalPoint?: string; // ID of vital point to target
readonly priority: number; // 0-10: Decision confidence
readonly reason: string; // For debugging/analysis
}
/**
* Combat context for decision making
*/
export interface CombatContext {
readonly playerPosition: Position;
readonly opponentPosition: Position;
readonly playerHealth: number;
readonly playerMaxHealth: number;
readonly playerKi: number;
readonly playerMaxKi: number;
readonly playerStamina: number;
readonly playerMaxStamina: number;
readonly opponentHealth: number;
readonly opponentStance: TrigramStance;
readonly playerStance: TrigramStance;
readonly distanceToOpponent: number;
readonly timeInMatch: number;
readonly isOpponentAttacking: boolean;
readonly recentDamageTaken: number;
readonly arenaBounds: {
readonly x: number;
readonly y: number;
readonly width: number;
readonly height: number;
};
}
/**
* AI Decision Tree System
*
* **Korean Combat Philosophy (한국 무술 철학)**:
* This system embodies traditional Korean martial arts principles:
*
* - **팔괘 응용** (Trigram Application): Uses Eight Trigram system for stance transitions
* - **급소 타격** (Vital Point Strikes): Targets anatomical weak points with precision
* - **상황 판단** (Situational Awareness): Adapts tactics based on combat context
* - **기술 조합** (Technique Combinations): Chains attacks into flowing combos
* - **방어 우선** (Defense First): Prioritizes survival and tactical retreat when needed
*/
export class AIDecisionTree {
private lastDecisionTime = 0;
private decisionCooldown = 50; // 50ms minimum between decisions
private consecutiveAttacks = 0;
private lastStanceChange = 0;
private readonly stanceChangeCooldown = 3000; // 3 seconds
// Systems for advanced decision-making
private trigramSystem: TrigramSystem;
private difficultyLevel: number = 0.5; // 0.0-1.0: AI skill level
private difficultyParams?: DifficultyParameters; // Difficulty parameters for AI behavior
private currentReactionDelay: number = 50; // Current reaction delay (calculated once per param change)
// Movement constants
private static readonly MOVE_STEP_SIZE = 50; // Fixed movement step size in pixels
private static readonly MIN_DISTANCE_THRESHOLD = 5; // Minimum distance to avoid division by zero
/**
* Arena boundary margins - exported for test validation
* These values represent the player character size/collision margins
*/
public static readonly ARENA_MARGIN_X = 60; // Horizontal boundary margin
public static readonly ARENA_MARGIN_Y = 180; // Vertical boundary margin
constructor() {
this.trigramSystem = new TrigramSystem();
}
/**
* Set AI difficulty level for vital point targeting accuracy
* @param level - 0.0 (beginner) to 1.0 (master)
*/
setDifficultyLevel(level: number): void {
this.difficultyLevel = Math.max(0, Math.min(1, level));
}
/**
* Set difficulty parameters for AI behavior
* Affects reaction time, accuracy, decision quality, etc.
*
* Calculates a randomized reaction delay (within parameter range) once when
* parameters change. This provides varied AI timing while maintaining consistent
* behavior throughout the current parameter set.
*
* @korean 난이도 매개변수 설정
* @param params - Difficulty parameters to apply
*/
setDifficultyParameters(params: DifficultyParameters): void {
this.difficultyParams = params;
// Calculate randomized reaction delay once when params change
// This provides variety while ensuring consistent timing until next param update
Eif (params) {
this.currentReactionDelay =
params.reactionTimeMs.min +
Math.random() * (params.reactionTimeMs.max - params.reactionTimeMs.min);
}
}
/**
* Make strategic decision based on combat context
*
* Applies difficulty-based reaction time delays if difficulty parameters are set
*/
makeDecision(
context: CombatContext,
personality: AIPersonality,
comboSystem: AIComboSystem
): AIDecision {
const now = Date.now();
// Apply difficulty-based reaction time delay (calculated once per param change)
const reactionDelay = this.difficultyParams
? this.currentReactionDelay
: this.decisionCooldown;
// Respect decision cooldown (use reaction delay if difficulty params available)
const effectiveCooldown = Math.max(this.decisionCooldown, reactionDelay);
if (now - this.lastDecisionTime < effectiveCooldown) {
return {
action: AIActionType.WAIT,
priority: 0,
reason: this.difficultyParams
? `Reaction time delay: ${effectiveCooldown.toFixed(0)}ms`
: "Decision cooldown active",
};
}
this.lastDecisionTime = now;
// Check for active combo first
Iif (comboSystem.isComboActive()) {
return this.decideComboAction(context, personality);
}
// Evaluate tactical options in priority order
const decisions: AIDecision[] = [];
// Get optimal range for this archetype
const optimalRange = this.getOptimalRange(personality);
const distance = context.distanceToOpponent;
// 1. Critical health - survival priority
decisions.push(this.evaluateSurvival(context, personality));
// 2. Counter-attack opportunity
if (context.isOpponentAttacking) {
decisions.push(this.evaluateCounter(context, personality));
}
// 3. Combo initiation (only if at reasonable distance)
if (distance < optimalRange * 1.5) {
decisions.push(this.evaluateComboStart(context, personality, comboSystem));
}
// 4. Stance transition
decisions.push(this.evaluateStanceChange(context, personality, now));
// 5. Feint attack (only at mid-close range)
if (distance < optimalRange * 1.8) {
decisions.push(this.evaluateFeint(context, personality));
}
// 6. Distance-based tactics (archetype-aware ranges)
if (distance < optimalRange * 1.2) {
// Close to optimal range - use close-range tactics including vital point targeting
decisions.push(this.evaluateCloseRange(context, personality));
} else if (distance > optimalRange * 1.8) {
// Too far - need to approach
decisions.push(this.evaluateApproach(context, personality));
} else {
// Mid-range - good tactical position
decisions.push(this.evaluateMidRange(context, personality));
}
// 7. Defensive positioning
decisions.push(this.evaluateDefense(context, personality));
// Select highest priority decision
const bestDecision = decisions.reduce((best, current) =>
current.priority > best.priority ? current : best
);
// Track consecutive attacks
if (
bestDecision.action === AIActionType.ATTACK ||
bestDecision.action === AIActionType.TECHNIQUE
) {
this.consecutiveAttacks++;
} else {
this.consecutiveAttacks = 0;
}
return bestDecision;
}
/**
* Evaluate survival tactics when critically low health
*
* **Korean Philosophy (생존 전략)**:
* - Consider both health and pain levels
* - Archetype affects retreat threshold and behavior
* - Honor code (Musa) prevents retreat above threshold
*/
private evaluateSurvival(
context: CombatContext,
personality: AIPersonality
): AIDecision {
const healthPercent = context.playerHealth / context.playerMaxHealth;
const painLevel = context.recentDamageTaken;
// Get archetype behavior profile
const behavior = getArchetypeBehavior(personality.archetype);
// Check critical survival condition: low health OR (moderate health + high pain)
const isCritical = healthPercent < personality.tacticalRetreatThreshold;
const isHighPain = healthPercent < 0.5 && painLevel > 50;
if (isCritical || isHighPain) {
// Honor code: Musa never retreats above their threshold (30%)
Iif (behavior.honorCode && healthPercent > behavior.retreatThreshold / 100) {
return {
action: AIActionType.WAIT,
priority: 0,
reason: `Honor code prevents retreat: ${(healthPercent * 100).toFixed(1)}% (명예 규범)`,
};
}
const retreatVector = this.calculateRetreatPosition(context);
return {
action: AIActionType.RETREAT,
targetPosition: retreatVector,
priority: 10, // Highest priority
reason: isCritical
? `Critical health: ${(healthPercent * 100).toFixed(1)}% (위급 상황)`
: `High pain: ${painLevel.toFixed(0)} (고통 회피)`,
};
}
return { action: AIActionType.WAIT, priority: 0, reason: "Health stable" };
}
/**
* Evaluate counter-attack opportunity
*/
private evaluateCounter(
context: CombatContext,
personality: AIPersonality
): AIDecision {
const shouldCounter =
Math.random() < personality.defensePreference * 0.8 &&
context.distanceToOpponent < 150;
Iif (shouldCounter) {
return {
action: AIActionType.COUNTER,
priority: 8,
reason: "Opponent attacking - counter opportunity",
};
}
return {
action: AIActionType.DEFEND,
priority: 6,
reason: "Opponent attacking - defensive stance",
};
}
/**
* Evaluate combo initiation (fix for issue #2529467014)
*/
private evaluateComboStart(
context: CombatContext,
personality: AIPersonality,
comboSystem: AIComboSystem
): AIDecision {
// Check if combo system is already active
Iif (comboSystem.isComboActive()) {
return {
action: AIActionType.WAIT,
priority: 0,
reason: "Combo already active",
};
}
// Don't start combo if already in consecutive attacks
Iif (this.consecutiveAttacks > 0) {
return {
action: AIActionType.WAIT,
priority: 0,
reason: "Combo cooldown",
};
}
const hasResources =
context.playerKi > context.playerMaxKi * 0.3 &&
context.playerStamina > context.playerMaxStamina * 0.3;
const goodDistance = context.distanceToOpponent < 130;
const comboChance = Math.random() < personality.comboTendency;
if (hasResources && goodDistance && comboChance) {
return {
action: AIActionType.COMBO,
priority: 7,
reason: "Initiating combo sequence",
};
}
return {
action: AIActionType.WAIT,
priority: 0,
reason: "Combo conditions not met",
};
}
/**
* Evaluate stance change using TrigramSystem
*
* **Korean Philosophy (자세 전환)**:
* Uses I Ching-based trigram system to find optimal stance transitions.
* Considers resource costs, counter-stance effectiveness, and archetype preferences.
* Each archetype has favored stances that they switch to more frequently.
*/
private evaluateStanceChange(
context: CombatContext,
personality: AIPersonality,
now: number
): AIDecision {
// Respect stance change cooldown
if (now - this.lastStanceChange < this.stanceChangeCooldown) {
return {
action: AIActionType.WAIT,
priority: 0,
reason: "Stance change on cooldown",
};
}
const shouldChange = Math.random() < personality.stanceSwitchFrequency;
if (!shouldChange) {
return {
action: AIActionType.WAIT,
priority: 0,
reason: "No stance change needed",
};
}
const behavior = getArchetypeBehavior(personality.archetype);
// Check if already in a preferred stance - if so, reduce change chance (but not completely)
// This check only applies outside combat to avoid stance lock during active fighting
const inPreferredStance = behavior.preferredStances.includes(context.playerStance);
if (inPreferredStance && !context.isOpponentAttacking && Math.random() < 0.6) {
// 60% chance to stay in preferred stance when not under immediate pressure
return {
action: AIActionType.WAIT,
priority: 0,
reason: "Already in preferred stance (선호 자세 유지)",
};
}
// Use TrigramSystem to recommend optimal stance
// Create a minimal PlayerState object with only the properties actually used by recommendStance
const playerState = {
currentStance: context.playerStance,
ki: context.playerKi,
stamina: context.playerStamina,
archetype: personality.archetype,
} as unknown as PlayerState;
const recommendedStance = this.trigramSystem.recommendStance(playerState);
// Check if we can afford the transition
const canTransition = this.trigramSystem.canTransitionTo(
context.playerStance,
recommendedStance,
playerState
);
Iif (!canTransition) {
// Try archetype-preferred stance or counter-stance
const preferredAvailable = behavior.preferredStances.find(
(stance) => this.trigramSystem.canTransitionTo(context.playerStance, stance, playerState)
);
if (preferredAvailable) {
this.lastStanceChange = now;
return {
action: AIActionType.STANCE_CHANGE,
targetStance: preferredAvailable,
priority: 6,
reason: `Switching to preferred stance (선호 자세 전환: ${preferredAvailable})`,
};
}
// Fallback to counter-stance
const counterStance = this.selectCounterStance(
context.opponentStance,
personality
);
this.lastStanceChange = now;
return {
action: AIActionType.STANCE_CHANGE,
targetStance: counterStance,
priority: 5,
reason: `Counter stance to ${context.opponentStance} (급소 대응)`,
};
}
this.lastStanceChange = now;
return {
action: AIActionType.STANCE_CHANGE,
targetStance: recommendedStance,
priority: 6,
reason: `Optimal stance transition via TrigramSystem (팔괘 전환)`,
};
}
/**
* Evaluate feint attack
*/
private evaluateFeint(
context: CombatContext,
personality: AIPersonality
): AIDecision {
const shouldFeint =
Math.random() < personality.feintChance &&
context.distanceToOpponent < 180;
if (shouldFeint) {
return {
action: AIActionType.FEINT,
priority: 4,
reason: "Feinting to bait opponent",
};
}
return {
action: AIActionType.WAIT,
priority: 0,
reason: "No feint opportunity",
};
}
/**
* Evaluate close range tactics with vital point targeting
*
* **Korean Philosophy (급소 공격)**:
* At close range, AI targets specific vital points based on difficulty level.
* Higher difficulty = more precise targeting of critical points.
*/
private evaluateCloseRange(
context: CombatContext,
personality: AIPersonality
): AIDecision {
const hasResources = context.playerKi > 10 && context.playerStamina > 15;
const aggression = personality.aggressionLevel;
// Select vital point target based on difficulty
const targetVitalPoint = this.selectVitalPointTarget(context, personality);
// Get Korean name for logging if vital point is selected
const vitalPointName = targetVitalPoint
? getVitalPointById(targetVitalPoint)?.names.korean ?? targetVitalPoint
: undefined;
if (Math.random() < aggression * 0.8) {
return {
action: AIActionType.ATTACK,
targetVitalPoint,
priority: targetVitalPoint ? 7 : 6,
reason: targetVitalPoint
? `Close range - vital point attack (급소 타격: ${vitalPointName})`
: "Close range - aggressive strike",
};
} else if (Math.random() < aggression * 0.9 && hasResources) {
return {
action: AIActionType.TECHNIQUE,
targetVitalPoint,
priority: targetVitalPoint ? 6 : 5,
reason: targetVitalPoint
? `Close range - technique on vital point (급소 기술: ${vitalPointName})`
: "Close range - technique execution",
};
} else {
return {
action: AIActionType.DEFEND,
priority: 4,
reason: "Close range - defensive posture (방어 자세)",
};
}
}
/**
* Select vital point to target based on difficulty and stance
*
* **Korean Philosophy (급소 선택)**:
* - Beginner AI: Random targeting or no specific target
* - Intermediate AI: Favors easier vital points
* - Advanced AI: Targets appropriate points for current stance
* - Master AI: Targets critical points with high precision
*/
private selectVitalPointTarget(
context: CombatContext,
personality: AIPersonality
): string | undefined {
// Guard: Ensure vital points are available
Iif (KOREAN_VITAL_POINTS.length === 0) {
return undefined;
}
// Check if AI attempts vital point targeting based on difficulty
const targetChance = this.difficultyLevel * personality.aggressionLevel;
if (Math.random() > targetChance) {
return undefined; // No specific vital point target
}
// Filter vital points by effective stance
const effectivePoints = KOREAN_VITAL_POINTS.filter((point) =>
point.effectiveStances?.includes(context.playerStance)
);
Iif (effectivePoints.length === 0) {
// Fallback to any vital point
const randomIndex = Math.floor(
Math.random() * KOREAN_VITAL_POINTS.length
);
return KOREAN_VITAL_POINTS[randomIndex].id;
}
// Select based on difficulty level
if (this.difficultyLevel < 0.3) {
// Beginner: Random selection from effective points.
// NOTE: This uses Math.random(), which is not seeded and thus not deterministic.
// For reproducible AI behavior (e.g., in testing or balancing), consider using a seeded RNG.
// Also, this "beginner" AI still filters by effective points (stance-appropriate), which may be more sophisticated than a true novice.
// If true beginner behavior is desired, select from all KOREAN_VITAL_POINTS instead.
const randomIndex = Math.floor(Math.random() * effectivePoints.length);
return effectivePoints[randomIndex].id;
} else if (this.difficultyLevel < 0.6) {
// Intermediate: Prefer easier targets (lower difficulty)
const easierPoints = effectivePoints.filter(
(p) => p.targetingDifficulty < 0.7
);
Eif (easierPoints.length > 0) {
// Sort without mutating original array
const sortedEasierPoints = [...easierPoints].sort(
(a, b) => a.targetingDifficulty - b.targetingDifficulty
);
return sortedEasierPoints[0].id;
}
return effectivePoints[0].id;
} else {
// Advanced/Master: Target high-value critical points
const criticalPoints = effectivePoints.filter(
(p) => p.severity === "critical" || p.severity === "major"
);
Eif (criticalPoints.length > 0) {
// Sort without mutating original array
const sortedCritical = [...criticalPoints].sort(
(a, b) => (b.baseDamage ?? 0) - (a.baseDamage ?? 0)
);
return sortedCritical[0].id;
}
// Fallback to highest damage point (guaranteed to exist due to check at line 456)
const sortedByDamage = [...effectivePoints].sort(
(a, b) => (b.baseDamage ?? 0) - (a.baseDamage ?? 0)
);
return sortedByDamage[0]?.id ?? effectivePoints[0].id;
}
}
/**
* Get optimal combat range based on AI personality archetype
*
* Uses archetype behavior profiles to determine preferred combat distance.
* Range is converted from cell units to pixels (1 cell = ~40px).
*
* @korean 최적 전투 거리 - 원형별 선호 거리
*/
private getOptimalRange(personality: AIPersonality): number {
const CELL_SIZE = 40; // Size of one grid cell in pixels
// Get archetype behavior profile
const behavior = getArchetypeBehavior(personality.archetype);
// Convert cell units to pixels
return behavior.optimalRange * CELL_SIZE;
}
/**
* Evaluate approach tactics with archetype-specific behavior
*
* **Korean Philosophy (접근 전략)**:
* - Musa charges directly (70% direct path)
* - Amsalja uses flanking movements (40% diagonal approach)
* - Hacker maintains optimal distance (prefers not to close too much)
*/
private evaluateApproach(
context: CombatContext,
personality: AIPersonality
): AIDecision {
const optimalRange = this.getOptimalRange(personality);
const distance = context.distanceToOpponent;
// If already at optimal range or closer, lower priority
Iif (distance <= optimalRange * 1.2) {
return {
action: AIActionType.WAIT,
priority: 0,
reason: "Already at optimal range",
};
}
// Apply archetype-specific movement bias
const movementBias = this.getArchetypeMovementBias(personality.archetype);
let approachPos: Position;
// Archetype-specific approach patterns
if (personality.archetype === PlayerArchetype.MUSA && Math.random() < 0.7) {
// Musa: Direct charge 70% of the time
approachPos = this.calculateDirectApproach(context);
} else if (personality.archetype === PlayerArchetype.AMSALJA && Math.random() < 0.4) {
// Amsalja: Flanking approach 40% of the time
approachPos = this.calculateFlankingApproach(context);
} else {
// Default approach with slight randomization
approachPos = this.calculateApproachPosition(context);
}
// Calculate priority based on distance from optimal range
// Very far: priority ~6-7, moderate distance: priority ~5
const basePriority = 4;
const distanceRatio = Math.min(2, (distance - optimalRange) / optimalRange);
const priorityBoost = distanceRatio * movementBias * 0.8;
const finalPriority = basePriority + priorityBoost;
return {
action: AIActionType.APPROACH,
targetPosition: approachPos,
priority: Math.min(8, finalPriority), // Cap at 8 to allow survival/critical actions to override
reason: `Moving closer (distance: ${Math.round(
distance
)}, optimal: ${optimalRange})`,
};
}
/**
* Get archetype-specific movement bias multipliers
*
* Applies movement pattern modifiers based on archetype behavior profiles:
* - Aggressive: High forward pressure (2.0x)
* - Evasive: Moderate mobility (1.5x)
* - Analytical: Conservative approach (0.8x-1.0x)
* - Unpredictable: Variable movement (1.3x)
*
* @korean 원형별 이동 성향
*/
private getArchetypeMovementBias(archetype: PlayerArchetype): number {
const behavior = getArchetypeBehavior(archetype);
switch (behavior.movementPattern) {
case "aggressive": // Musa - aggressive forward movement
return 2.0;
case "evasive": // Amsalja - high mobility, flanking preference
return 1.5;
case "analytical": // Hacker, Jeongbo - calculated approach
return archetype === PlayerArchetype.HACKER ? 0.8 : 1.0;
case "unpredictable": // Jojik - variable patterns
return 1.3;
default:
return 1.0;
}
}
/**
* Calculate direct approach position (straight line to opponent)
* Used primarily by Musa archetype for charging attacks
*/
private calculateDirectApproach(context: CombatContext): Position {
const dx = context.opponentPosition.x - context.playerPosition.x;
const dy = context.opponentPosition.y - context.playerPosition.y;
const distance = Math.sqrt(dx * dx + dy * dy);
// If already very close to the opponent, hold position (avoid erratic movement)
Iif (distance < AIDecisionTree.MIN_DISTANCE_THRESHOLD) {
return this.clampToArenaBounds(context.playerPosition, context.arenaBounds);
}
// Move straight toward opponent with fixed step size for consistent movement speed
const step = Math.min(AIDecisionTree.MOVE_STEP_SIZE, distance);
return this.clampToArenaBounds(
{
x: context.playerPosition.x + (dx / distance) * step,
y: context.playerPosition.y + (dy / distance) * step,
},
context.arenaBounds
);
}
/**
* Calculate flanking approach position (diagonal/side approach)
* Used primarily by Amsalja archetype for stealth positioning
*/
private calculateFlankingApproach(context: CombatContext): Position {
const dx = context.opponentPosition.x - context.playerPosition.x;
const dy = context.opponentPosition.y - context.playerPosition.y;
const distance = Math.sqrt(dx * dx + dy * dy);
// If distance is too small, return player's current position (avoid erratic movement)
Iif (distance < AIDecisionTree.MIN_DISTANCE_THRESHOLD) {
return this.clampToArenaBounds(context.playerPosition, context.arenaBounds);
}
// Add perpendicular offset for flanking (40-60 pixels to the side)
const flankOffset = 40 + Math.random() * 20;
const perpX = -dy / distance; // Perpendicular vector
const perpY = dx / distance;
const flankSide = Math.random() < 0.5 ? 1 : -1; // Random side
return this.clampToArenaBounds(
{
x: context.opponentPosition.x + perpX * flankOffset * flankSide,
y: context.opponentPosition.y + perpY * flankOffset * flankSide,
},
context.arenaBounds
);
}
/**
* Clamp position to arena boundaries with proper margins
* Centralizes boundary validation logic for all movement calculations
*/
private clampToArenaBounds(
position: Position,
arenaBounds: { readonly x: number; readonly y: number; readonly width: number; readonly height: number }
): Position {
return {
x: Math.max(
arenaBounds.x,
Math.min(
arenaBounds.x + arenaBounds.width - AIDecisionTree.ARENA_MARGIN_X,
position.x
)
),
y: Math.max(
arenaBounds.y,
Math.min(
arenaBounds.y + arenaBounds.height - AIDecisionTree.ARENA_MARGIN_Y,
position.y
)
),
};
}
/**
* Evaluate mid-range tactics with distance awareness
*
* **Korean Philosophy (중거리 전술)**:
* - Considers optimal range for archetype
* - Hacker prefers to maintain this range (analytical pattern)
* - Jeongbo uses strategic timing and analysis
* - Others may close or open distance based on situation
*/
private evaluateMidRange(
context: CombatContext,
personality: AIPersonality
): AIDecision {
const hasResources = context.playerKi > context.playerMaxKi * 0.3;
const optimalRange = this.getOptimalRange(personality);
const distance = context.distanceToOpponent;
const tacticRoll = Math.random();
const behavior = getArchetypeBehavior(personality.archetype);
// Archetype-specific mid-range behavior based on movement pattern
if (behavior.movementPattern === "analytical" && Math.abs(distance - optimalRange) < 50) {
// Analytical archetypes (Hacker, Jeongbo) at ideal range - maintain position
const circlePos = this.calculateCirclePosition(context);
const archetypeName = personality.archetype === PlayerArchetype.HACKER
? "사이버" : "정보";
return {
action: AIActionType.CIRCLE,
targetPosition: circlePos,
priority: 6,
reason: `${archetypeName} maintaining optimal mid-range (${archetypeName} 위치 유지)`,
};
}
// Too far from optimal range - approach
if (distance > optimalRange * 1.5) {
const approachPos = this.calculateApproachPosition(context);
return {
action: AIActionType.APPROACH,
targetPosition: approachPos,
priority: 5,
reason: "Moving to optimal range (최적 거리로 이동)",
};
}
// Too close to optimal range - analytical archetypes create space
Iif (distance < optimalRange * 0.7 && behavior.movementPattern === "analytical") {
const retreatPos = this.calculateRetreatPosition(context);
return {
action: AIActionType.RETREAT,
targetPosition: retreatPos,
priority: 5,
reason: "Creating tactical space (거리 확보)",
};
}
// Unpredictable archetype (Jojik) - randomize tactics
Iif (behavior.movementPattern === "unpredictable") {
const randomAction = tacticRoll < 0.33 ? "attack" : tacticRoll < 0.66 ? "circle" : "approach";
if (randomAction === "attack" && hasResources) {
return {
action: AIActionType.TECHNIQUE,
priority: 5,
reason: "Unpredictable attack (예측불가 공격)",
};
} else if (randomAction === "circle") {
const circlePos = this.calculateCirclePosition(context);
return {
action: AIActionType.CIRCLE,
targetPosition: circlePos,
priority: 4,
reason: "Unpredictable movement (예측불가 이동)",
};
}
}
// At good range - mix of techniques and repositioning
if (tacticRoll < 0.3 && hasResources) {
return {
action: AIActionType.TECHNIQUE,
priority: 5,
reason: "Mid-range technique (중거리 기술)",
};
} else if (tacticRoll < 0.6) {
const circlePos = this.calculateCirclePosition(context);
return {
action: AIActionType.CIRCLE,
targetPosition: circlePos,
priority: 4,
reason: "Tactical repositioning (전술적 이동)",
};
} else {
const approachPos = this.calculateApproachPosition(context);
return {
action: AIActionType.APPROACH,
targetPosition: approachPos,
priority: 4,
reason: "Moving to optimal range (최적 거리로 이동)",
};
}
}
/**
* Evaluate defensive tactics
*/
private evaluateDefense(
context: CombatContext,
personality: AIPersonality
): AIDecision {
const shouldDefend =
Math.random() < personality.defensePreference &&
context.recentDamageTaken > 20;
if (shouldDefend) {
return {
action: AIActionType.DEFEND,
priority: 6,
reason: "Defensive response to damage",
};
}
return {
action: AIActionType.WAIT,
priority: 0,
reason: "No defensive need",
};
}
/**
* Decide combo action
*/
private decideComboAction(
_context: CombatContext,
_personality: AIPersonality
): AIDecision {
return {
action: AIActionType.COMBO,
priority: 9,
reason: "Continuing active combo",
};
}
/**
* Calculate retreat position
*/
private calculateRetreatPosition(context: CombatContext): Position {
const dx = context.playerPosition.x - context.opponentPosition.x;
const dy = context.playerPosition.y - context.opponentPosition.y;
const distance = Math.sqrt(dx * dx + dy * dy);
// If distance is too small, retreat in a default direction (away from center)
Iif (distance < AIDecisionTree.MIN_DISTANCE_THRESHOLD) {
const retreatDistance = 150;
return this.clampToArenaBounds(
{
x: context.playerPosition.x + retreatDistance,
y: context.playerPosition.y,
},
context.arenaBounds
);
}
// Normalize and retreat
const retreatDistance = 150;
const nx = dx / distance;
const ny = dy / distance;
return this.clampToArenaBounds(
{
x: context.playerPosition.x + nx * retreatDistance,
y: context.playerPosition.y + ny * retreatDistance,
},
context.arenaBounds
);
}
/**
* Calculate approach position
*/
private calculateApproachPosition(context: CombatContext): Position {
const offsetX = (Math.random() - 0.5) * 80;
const offsetY = (Math.random() - 0.5) * 60;
return this.clampToArenaBounds(
{
x: context.opponentPosition.x + offsetX,
y: context.opponentPosition.y + offsetY,
},
context.arenaBounds
);
}
/**
* Calculate circle position
*/
private calculateCirclePosition(context: CombatContext): Position {
const angle = Math.atan2(
context.opponentPosition.y - context.playerPosition.y,
context.opponentPosition.x - context.playerPosition.x
);
const circleRadius = 150 + Math.random() * 50;
return this.clampToArenaBounds(
{
x: context.opponentPosition.x + Math.cos(angle + Math.PI / 2) * circleRadius,
y: context.opponentPosition.y + Math.sin(angle + Math.PI / 2) * circleRadius,
},
context.arenaBounds
);
}
/**
* Select counter-stance to opponent's stance (fix for issue #2529466994)
* Implements actual counter logic based on Korean martial arts philosophy
*/
private selectCounterStance(
opponentStance: TrigramStance,
personality: AIPersonality
): TrigramStance {
// Define counter relationships based on trigram philosophy
const stanceCounters: Record<TrigramStance, TrigramStance[]> = {
[TrigramStance.GEON]: [TrigramStance.GAM, TrigramStance.GON], // Heaven countered by Water, Earth
[TrigramStance.TAE]: [TrigramStance.LI, TrigramStance.GEON], // Lake countered by Fire, Heaven
[TrigramStance.LI]: [TrigramStance.GAM, TrigramStance.SON], // Fire countered by Water, Wind
[TrigramStance.JIN]: [TrigramStance.GAN, TrigramStance.GON], // Thunder countered by Mountain, Earth
[TrigramStance.SON]: [TrigramStance.GAN, TrigramStance.GEON], // Wind countered by Mountain, Heaven
[TrigramStance.GAM]: [TrigramStance.GON, TrigramStance.GAN], // Water countered by Earth, Mountain
[TrigramStance.GAN]: [TrigramStance.JIN, TrigramStance.TAE], // Mountain countered by Thunder, Lake
[TrigramStance.GON]: [TrigramStance.SON, TrigramStance.LI], // Earth countered by Wind, Fire
};
const counters = stanceCounters[opponentStance] ?? [];
// Try to find a counter that's also in favored stances
const favoredCounters = counters.filter((s) =>
personality.favoredStances.includes(s)
);
if (favoredCounters.length > 0) {
return favoredCounters[
Math.floor(Math.random() * favoredCounters.length)
];
}
// Fallback to any counter stance
if (counters.length > 0) {
return counters[Math.floor(Math.random() * counters.length)];
}
// Last resort: use favored stance
if (personality.favoredStances.length > 0) {
return personality.favoredStances[
Math.floor(Math.random() * personality.favoredStances.length)
];
}
// Ultimate fallback: different stance (issue #2529728009)
const allStances = Object.values(TrigramStance);
const filtered = allStances.filter((s) => s !== opponentStance);
if (filtered.length === 0) {
return opponentStance; // Edge case: same stance
}
return filtered[Math.floor(Math.random() * filtered.length)];
}
/**
* Reset decision state
*/
reset(): void {
this.lastDecisionTime = 0;
this.consecutiveAttacks = 0;
this.lastStanceChange = 0;
}
}
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