IJCAI 2022poster1 citations
Engineering Socially-Oriented Autonomous Agents and Multiagent Systems
Abstract
The emergent field of social AI is concerned with the development of autonomous agents that are able to act as part of larger community. Within this context, my research seeks to engineer meaningful social interactions among a group of agents from two different approaches. First, the societal level leverages constructs that apply to a society as a whole, like norms and social values. Second, the individual level endows agents with the ability to reason about others, by making use of Theory of Mind capabilities.
Multiagent Systems (MAS): GeneralGame Theory and Economic Paradigms (GTEP): GeneralKnowledge Representation and Reasoning (KRR): General
BibTeX
@inproceedings{ijcai2022p833,
title = {Engineering Socially-Oriented Autonomous Agents and Multiagent Systems},
author = {Montes, Nieves},
booktitle = {Proceedings of the Thirty-First International Joint Conference on
Artificial Intelligence, {IJCAI-22}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Lud De Raedt},
pages = {5861--5862},
year = {2022},
month = {7},
note = {Doctoral Consortium},
doi = {10.24963/ijcai.2022/833},
url = {https://doi.org/10.24963/ijcai.2022/833},
}