Machine Learning for Cognitive BDI Agents: A Compact Survey

Ömer Erduran

2023

Abstract

The concept of Cognitive Agents has its roots in the early stages of Multi-Agent Systems research. At that time, the understanding of the term Agent was referring to Software Agents with basic capabilities of perception and action in a proper environment adding potential cognitive capabilities inside the agent architecture. A fundamental drawback of the concept is the barrier of learning new capabilities since the full properties of the agent are hard coded. Over the years, research in Agent-Oriented Programming has provided interesting approaches with promising results in the interplay between Machine Learning methods and Cognitive Agents. Such a combination is realized by an integration process of Machine Learning algorithms into the agent cycle in the specific architecture. This survey is a review of combining both, Machine Learning and BDI Agents as a selected form of Software Agent, including the applied concepts and architectures for different scenarios. A categorization scheme named ML-COG is introduced to illustrate the integration perspectives for both paradigms. The reviewed literature is then assigned to this scheme. Finally, a selection of relevant research questions and research gaps is presented as worthwhile to be investigated.

Paper Citation

in Harvard Style

Erduran Ö. (2023). Machine Learning for Cognitive BDI Agents: A Compact Survey. In Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-758-623-1, pages 257-268. DOI: 10.5220/0011678100003393

in Bibtex Style

@conference{icaart23,
author={Ömer Erduran},
title={Machine Learning for Cognitive BDI Agents: A Compact Survey},
booktitle={Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2023},
pages={257-268},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011678100003393},
isbn={978-989-758-623-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - Machine Learning for Cognitive BDI Agents: A Compact Survey
SN - 978-989-758-623-1
AU - Erduran Ö.
PY - 2023
SP - 257
EP - 268
DO - 10.5220/0011678100003393