Predator Hunting Behaviors and Strategies

Overview

This document summarizes research on predator hunting techniques, prey selection, ambush strategies, and pack coordination. Better Ecology implements multiple hunting strategies based on real predator behavior research.

Key Behavioral Patterns

Prey Detection and Selection

Hunger-driven activation: Predators only hunt when hungry (below hunger threshold)
Prey availability check: Scavenging preferred over hunting when meat items are available nearby
Optimal target selection: Prey scored by distance, health, and isolation
Isolation factor: More isolated prey (fewer nearby allies) are preferred targets

Target Selection Formula:


Score = (distance × 0.5) + (healthFactor × 100) + (isolationFactor × 50)

Lower scores are preferred (nearest, weakest, most isolated).

Hunting Techniques

Direct Pursuit (General)

Implementation: HuntPreyGoal

Standard chase-down hunting used by most predators.

Parameter	Value
Hunt Range	Configurable (typically 16-32 blocks)
Attack Distance	2 blocks
Attack Cooldown	20 ticks (1 second)
Give Up Time	1200 ticks (60 seconds)
Escape Distance	32 blocks
Hunger Restored	40 points per kill

Behavior sequence:

Check hunger threshold
Verify no scavengeable food items nearby
Find valid prey within hunt range
Score and select optimal target
Pathfind toward prey
Attack when within range
Continue until prey killed, escaped, or predator satisfied

Fox Pounce Attack

Implementation: FoxPounceHuntingGoal

Distinctive high-arc leap attack based on real fox mousing behavior.

Parameter	Value
Min Pounce Distance	3 blocks
Max Pounce Distance	8 blocks
Pounce Height	1.5 blocks
Success Rate	80%
Pounce Duration	15 ticks
Cooldown	40 ticks
Hunger Restored	35 points per kill

Scientific Basis: Foxes perform a distinctive hunting technique where they leap 1-2 meters high in a parabolic arc to land on small prey like mice. Research shows this technique has a ~75-80% success rate in the wild.

Pounce Arc Calculation:


double parabolaHeight = POUNCE_HEIGHT * Math.sin(progress * Math.PI);

Cat Stalking Ambush

Implementation: CatStalkingAmbushGoal

Patient approach with ambush attack.

Parameter	Value
Stalk Speed	0.4x normal
Ambush Distance	3 blocks
Success Rate	30%
Cooldown	60 ticks

Behavior sequence:

Detect prey
Approach slowly (stalking animation)
Position for ambush
Explosive attack when in range

Pack Hunting Coordination

Implementation: WolfPackHuntCoordinationGoal

Wolves coordinate hunting as a pack with role assignment.

Role Assignment

Role	Behavior
Alpha	Leads the hunt, initiates attack
Flanker	Positions to cut off escape
Driver	Pushes prey toward alphas

Coordination Mechanics

Pack ID matching: Only wolves in the same pack coordinate
Target sharing: Pack members share the same prey target
Flanking positions: Wolves spread to surround prey
Attack timing: Coordinated attack order based on role

Scientific Basis

Based on wolf pack dynamics research showing:

Social hierarchies influence hunting roles
Coordinated flanking increases success rate
Pack size affects hunting efficiency
Prey selection considers pack capabilities

Species-Specific Behaviors

Wolves

Prey targets: Sheep, Rabbit, Chicken (when hungry)

Behavior	Description
Pack hunting	Coordinates with pack members
Food sharing	Shares kills with hungry pack members
Scavenging	Prefers existing meat over hunting
Territorial	Hunts within pack territory

Foxes

Prey targets: Chicken, Rabbit

Behavior	Description
Pounce attack	High-arc leap for small prey
Stalking	Slow approach before attack
Caching	May cache excess food
Crepuscular	Most active at dawn/dusk

Cats/Ocelots

Prey targets: Chicken, Rabbit

Behavior	Description
Stalking	Patient slow approach
Ambush	Attack from concealment
Gift giving	Tamed cats bring “gifts”
Solitary	Hunt alone (no pack coordination)

Prey Response Integration

Hunting behaviors integrate with prey fleeing responses:

Predator-Prey Interaction

Detection: Predator spots prey within hunt range
Pursuit: Predator begins approach
Flight response: Prey detects predator and may flee
Escalation: Predator increases speed to catch fleeing prey
Resolution: Kill, escape, or give up

Success Factors

Factor	Effect on Success
Prey isolation	Higher success for isolated prey
Pack size	Larger packs have higher success
Prey health	Weaker prey easier to catch
Distance	Closer targets easier to catch
Terrain	Some terrain favors predator or prey

Implementation Notes

Configuration Parameters

Parameter	Default Range	Description
`hunt_range`	16-32 blocks	Maximum detection range
`attack_distance`	2-3 blocks	Range to initiate attack
`speed_modifier`	1.2-1.5x	Movement speed when hunting
`give_up_ticks`	600-1200	Time before abandoning hunt
`hunger_threshold`	30-50	Hunger level to trigger hunting

Performance Optimizations

Search interval: Prey search every 5-10 ticks, not every tick
Retargeting: Check for closer prey every 20 ticks
Path recalculation: Update paths every 10 ticks during hunt
Early exits: Check cheap conditions before expensive searches

Goal Priority System

Priority	Goal
4	HuntPreyGoal
4	FoxPounceHuntingGoal
4	CatStalkingAmbushGoal
4	WolfPackHuntCoordinationGoal

Hunting goals share priority 4, lower than flee (1-2) and survival needs (3).

Key Academic References

Foundational Papers

Mech, L.D. (1970). “The Wolf: The Ecology and Behavior of an Endangered Species”
Macdonald, D.W. (1980). “Rabies and Wildlife: A Biologist’s Perspective” - Fox hunting behavior
Caro, T.M. (1994). “Cheetahs of the Serengeti Plains” - Predator-prey dynamics

Recent Research

MacNulty et al. (2012). “Nonlinear effects of group size on the success of wolves hunting elk”
Stander, P.E. (1992). “Cooperative hunting in lions: the role of the individual”
Hilton, G.M. et al. (1999). “The effect of predator age and experience on kill probability”