A Treatise On Conversational AI Agents: Learning From Humans’ Behaviour As A Design Outlook
| Title | A Treatise On Conversational AI Agents: Learning From Humans’ Behaviour As A Design Outlook |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Yousef, Muhammad, Torad, Mohamed A. |
| Conference Name | 2019 International Conference on Electrical and Computing Technologies and Applications (ICECTA) |
| Publisher | IEEE |
| ISBN Number | 978-1-7281-5532-6 |
| Keywords | Artificial Intelligence [AI], behavioural sciences computing, centralized learning module, conversational agents, conversational AI agents, Human Behavior, human behaviour, learning (artificial intelligence), Machine Learning [ML], Metrics, multi-agent systems, Natural Language Generation [NLG], Natural Language Understanding [NLU], pubcrawl, Scalability, treatise |
| Abstract | Engineering a successful conversational AI agent is a tough process, and requires the consideration of achieving an effective communication between its various endpoints. In this paper, we present our perspective for designing an efficient conversational agent according to our belief that the existence of a centralized learning module that is capable of analyzing and understanding humans' behaviour from day one, and acting upon this behaviour is a must. |
| URL | https://ieeexplore.ieee.org/document/8959585 |
| DOI | 10.1109/ICECTA48151.2019.8959585 |
| Citation Key | yousef_treatise_2019 |
- Artificial Intelligence [AI]
- behavioural sciences computing
- centralized learning module
- conversational agents
- conversational AI agents
- Human behavior
- human behaviour
- learning (artificial intelligence)
- Machine Learning [ML]
- Metrics
- multi-agent systems
- Natural Language Generation [NLG]
- Natural Language Understanding [NLU]
- pubcrawl
- Scalability
- treatise