> For the complete documentation index, see [llms.txt](https://whitepaper.genopets.me/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://whitepaper.genopets.me/game-mechanics/mood-and-nurture/calculating-mood.md).

# Calculating Mood

Mood score is calculated as the sum of [Nutrition](/game-mechanics/mood-and-nurture/nutrition.md), [Joy](/game-mechanics/mood-and-nurture/joy.md), and [Love](/game-mechanics/mood-and-nurture/love.md). Nutrition, Joy, and Love are scored out of a maximum of 200 points each. This results in a 600-point collective score that is the Mood Score. 

$$
M = N + J + L
$$

Ranges within the Mood Score will represent the different tiers for Mood Factor as follows:

| Pet Mood | Mood Score Range        | Effect on Energy Conversion                                    |
| -------- | ----------------------- | -------------------------------------------------------------- |
| Happy    | Mood Score >= 450       | +5% boost (1.05x multiplier on all Energy banked at this time) |
| Fine     | 450 > Mood Score >= 270 | +0% boost (1x multiplier)                                      |
| Sad      | 270 > Mood Score        | -50% malus (0.5x multiplier)                                   |


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://whitepaper.genopets.me/game-mechanics/mood-and-nurture/calculating-mood.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.