Programming for AI - UE5

Demonstrates:

• Experience creating and working with AI systems such as utility theory
• Algorithms and methodologies including behavior trees and state machines
• Extending game systems to provide new or improved functionality to match updated designs
• Strong problem-solving and debugging skills

Real-Time Debug Visualization & Decision Data Table

AI:

• Bounty Hunters driven by AI using Utility Theory and Behavior Trees
• Hunters have a list of needs that must be satisfied by collecting items from shops
• If the last shop a Hunter needs is not available, that Hunter will wander until the shop is available or the Hunter becomes frustrated and goes to battle, getting themselves killed
• When a Hunter’s needs are satisfied, that Hunter goes to battle strong enough to survive
• When a Hunter is finished fighting, their needs are depleted and they return to town

Gameplay:

• Players provide needs by clicking on shops they have purchased to produce items
• Hunters spawn every 20 second and go to available shops to collect items based on needs
• Hunters start by needing rest, then an additional need unlocks every 30 seconds until all available needs are required; Rest, Water, Food, Gloves, Armor, Sword
• The player wins when Bounty Hunters all enemies, and loses if 5 Bounty Hunters die

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