Who Am I?: Towards Social Self-Awareness for Intelligent Agents
Budhitama Subagdja, Han Yi Tay, Ah-Hwee Tan
Abstract
Most of today's AI technologies are geared towards mastering specific tasks performance through learning from a huge volume of data. However, less attention has still been given to make the AI understand its own purposes or be responsible socially. In this paper, a new model of agent is presented with the capacity to represent itself as a distinct individual with identity, a mind of its own, unique experiences, and social lives. In this way, the agent can interact with its surroundings and other agents seamlessly and meaningfully. A practical framework for developing an agent architecture with this model of self and self-awareness is proposed allowing self to be ascribed to an existing intelligent agent architecture in general to enable its social ability, interactivity, and co-presence with others. Possible applications are discussed with some exemplifying cases based on an implementation of a conversational agent.
BibTeX
@inproceedings{ijcai2020p606,
title = {Who Am I?: Towards Social Self-Awareness for Intelligent Agents},
author = {Subagdja, Budhitama and Tay, Han Yi and Tan, Ah-Hwee},
booktitle = {Proceedings of the Twenty-Ninth International Joint Conference on
Artificial Intelligence, {IJCAI-20}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Christian Bessiere},
pages = {4396--4402},
year = {2020},
month = {7},
note = {Special track on AI for CompSust and Human well-being},
doi = {10.24963/ijcai.2020/606},
url = {https://doi.org/10.24963/ijcai.2020/606},
}