# Artificial Intelligence MArkup Language: A Brief Tutorial

arXiv: https://arxiv.org/abs/1307.3091 · HTML: https://mlsanity.com/paper/1307.3091/

## Key facts

- Cited by 7 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 11 Jul 2013.

## Built on by (most cited first, 7 of 7)

- [Natural Language Processing for Dialects of a Language: A Survey](https://mlsanity.com/paper/2401.05632/) (2024)
- [Chatbots to ChatGPT in a Cybersecurity Space: Evolution, Vulnerabilities, Attacks, Challenges, and Future Recommendations](https://mlsanity.com/paper/2306.09255/) (2023)
- [Ericson: An Interactive Open-Domain Conversational Search Agent](https://mlsanity.com/paper/2304.02233/) (2023)
- [Beyond Words: Infusing Conversational Agents with Human-like Typing Behaviors](https://mlsanity.com/paper/2510.08912/) (2025)
- [Social Practices for Social Driven Conversations in Serious Games](https://mlsanity.com/paper/2206.05355/) (2022)
- [AI2: The next leap toward native language based and explainable machine learning framework](https://mlsanity.com/paper/2301.03391/) (2023)
- [chatGPT for generating questions and assessments based on accreditations](https://mlsanity.com/paper/2312.00047/) (2023)

## Abstract (arXiv)

The purpose of this paper is to serve as a reference guide for the development of chatterbots implemented with the AIML language. In order to achieve this, the main concepts in Pattern Recognition area are described because the AIML uses such theoretical framework in their syntactic and semantic structures. After that, AIML language is described and each AIML command/tag is followed by an application example. Also, the usage of AIML embedded tags for the handling of sequence dialogue limitations between humans and machines is shown. Finally, computer systems that assist in the design of chatterbots with the AIML language are classified and described.