# Introducing Brain-like Concepts to Embodied Hand-crafted Dialog Management System

arXiv: https://arxiv.org/abs/2406.08996 · HTML: https://mlsanity.com/paper/2406.08996/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- Builds on 7 of its 55 references that are in the map.
- First posted on arXiv 13 Jun 2024.

## Builds on (most cited first, 7 of 7)

- [Survey of the State of the Art in Natural Language Generation: Core tasks, applications and evaluation](https://mlsanity.com/paper/1703.09902/) (2017)
- [How should my chatbot interact? A survey on human-chatbot interaction design](https://mlsanity.com/paper/1904.02743/) (2019)
- [Automatic Description Generation from Images: A Survey of Models, Datasets, and Evaluation Measures](https://mlsanity.com/paper/1601.03896/) (2016)
- [AliMe Assist: An Intelligent Assistant for Creating an Innovative E-commerce Experience](https://mlsanity.com/paper/1801.05032/) (2018)
- [A Survey of Natural Language Generation Techniques with a Focus on Dialogue Systems - Past, Present and Future Directions](https://mlsanity.com/paper/1906.00500/) (2019)
- [Embodiment in Socially Interactive Robots](https://mlsanity.com/paper/1912.00312/) (2019)
- [A Comparison of Natural Language Understanding Platforms for Chatbots in Software Engineering](https://mlsanity.com/paper/2012.02640/) (2020)

## Built on by (most cited first, 2 of 2)

- [Dialogue You Can Trust: Human and AI Perspectives on Generated Conversations](https://mlsanity.com/paper/2409.01808/) (2024)
- [HyperGraphOS: A Meta Operating System for Science and Engineering](https://mlsanity.com/paper/2412.04923/) (2024)

## Abstract (arXiv)

Along with the development of chatbot, language models and speech technologies, there is a growing possibility and interest of creating systems able to interface with humans seamlessly through natural language or directly via speech. In this paper, we want to demonstrate that placing the research on dialog system in the broader context of embodied intelligence allows to introduce concepts taken from neurobiology and neuropsychology to define behavior architecture that reconcile hand-crafted design and artificial neural network and open the gate to future new learning approaches like imitation or learning by instruction. To do so, this paper presents a neural behavior engine that allows creation of mixed initiative dialog and action generation based on hand-crafted models using a graphical language. A demonstration of the usability of such brain-like inspired architecture together with a graphical dialog model is described through a virtual receptionist application running on a semi-public space.