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https://github.com/exane/utility-ai

A small Utility Ai Framework
https://github.com/exane/utility-ai

ai artificial-intelligence framework game-development javascript js node nodejs utility utility-ai web

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A small Utility Ai Framework

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---

# Utility Ai

## A small Utility Ai Framework

### Install

```sh
npm install utility-ai
yarn add utility-ai
```

### Usage

```js
const UtilityAi = require("utility-ai")

utility_ai = new UtilityAi

// define your actions e.g "Move to Enemy", "Fire at Enemy", "Move to Cover", "Reload Gun"
utility_ai.addAction("Move to Enemy", action => {

// pre-conditions for actions, if not fulfilled all actions will be skipped
action.condition(({ player }) => {
if (player.isStuck()) {
return false
}

// explicit return of true needed to fulfill condition
return true
})

// each score expects a number as return value, the higher the better the action will be weighted
action.score("Distance to Enemy", ({ player, enemy }) => {
return player.distanceTo(enemy)
})

action.score("Gun is not loaded", ({ player }) => {
return player.gunEmpty() && -100
})

})

utility_ai.addAction("Fire at Enemy", action => {

action.score("Proximity to Enemy < 50", ({ player, enemy }) => {
return player.distanceTo(enemy) < 50 && 75
})

action.score("Cannot make it to cover", ({ player }) => {
return player.nextCoverDistance() > 25 && 50
})

action.score("Gun is not loaded", ({ player }) => {
return player.gunEmpty() && -125
})

})

utility_ai.addAction("Move to Cover", action => {

action.score("Is not in cover", ({ player }) => {
return !player.isInCover() && 50
})

action.score("Proximity to Cover < 50", ({ player }) => {
return player.nextCoverDistance() < 50 && 50
})

})

utility_ai.addAction("Reload Gun", action => {

action.score("Gun is not loaded", ({ player }) => {
return player.gunEmpty() && 75
})

action.score("Is in Cover", ({ player }) => {
return player.isInCover() && 50
})

action.score("Gun is loaded", ({ player }) => {
return !player.gunEmpty() && -125
})

})

const data = {
player: {...},
enemy: {...}
}

// starts the evaluation of a given world state and returns its best action
const result = utility_ai.evaluate(data)
// e.g. result = { action: "Move to Cover", score: 100 }
```