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title: How to Build Realistic AI Perception and Memory in Unity
description: A tutorial on building a realistic AI perception and memory system in Unity, inspired by Game AI Pro. Instead of giving AI agents instant knowledge of player...
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og:description: A tutorial on building a realistic AI perception and memory system in Unity, inspired by Game AI Pro. Instead of giving AI agents instant knowledge of player...
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# How to Build Realistic AI Perception and Memory in Unity

**[git-amend](https://daily.dev/sources/git-amend)** · 16 min read · 0 upvotes · 0 comments

## Summary

A tutorial on building a realistic AI perception and memory system in Unity, inspired by Game AI Pro. Instead of giving AI agents instant knowledge of player location, agents rely on limited sight and sound with awareness that builds up and fades over time using an ADSR-style envelope system. The implementation covers core data types (StimType enum, Stim struct), an Envelope class for time-based awareness, a TargetTrack class per perceived target, a central PerceptionHub for distributing stimuli, a PerceptionAgent component with configurable field-of-view cones and audio radii, and a StimEmitter component on the player that converts movement speed into audio stimuli. The result is agents that turn yellow when suspicious, red when on high alert, and gradually return to idle when they lose track of the player.

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Tags: [#c#](https://daily.dev/tags/c#), [#unity](https://daily.dev/tags/unity)

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