# Generation System

The Hypothesis Generation System is a Multi-Agentic System (MAS) designed to generate novel scientific hypotheses from a given input prompt. These prompts can originate from various sources, including direct user input, newly incorporated research papers, or exploratory path traversals through the World Model—our continuously evolving scientific knowledge graph.

Built on a modular and system-agnostic framework, ARD natively integrates with diverse knowledge sources, agentic frameworks, and computational environments.

## Methodologies

<table data-view="cards"><thead><tr><th></th><th data-hidden data-card-cover data-type="files"></th><th data-hidden data-card-target data-type="content-ref"></th></tr></thead><tbody><tr><td>SciAgents by Ghafarollahi &#x26; Buehler (2024)</td><td></td><td><a href="/pages/19HtDkdw40FDSMJAnS03">/pages/19HtDkdw40FDSMJAnS03</a></td></tr></tbody></table>


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# Agent Instructions: 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://docs.beeard.ai/sci-hive/generation-system.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.