ALP4AI: Agent-based Learning Platform for Introductory Artificial Intelligence

Ramoni Lasisi, Connor Philips, Nicholas Hartnett

2022

Abstract

We develop ALP4AI, an Agent-based Learning Platform for Introductory Artificial Intelligence. ALP4AI is a graphical-based tool that is suitable for teaching introductory AI, places emphasis on hands-on learning, and provides for visualization of results. The tool we have developed is suitable for solving problems in the state space search problem domain. It provides for different environments modeling, including, environments that contain obstacles or are obstacle-free, single or multi-agent, and contains single or multi goals. Students can also conduct and report results of experiments using ALP4AI. This project is expected to provide a new frontier of a simple, yet theoretically grounded hands-on learning tool with visualization to aid in AI education and provision of vast resources that benefit the academic community.

Paper Citation

in Harvard Style

Lasisi R., Philips C. and Hartnett N. (2022). ALP4AI: Agent-based Learning Platform for Introductory Artificial Intelligence. In Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART, ISBN 978-989-758-547-0, pages 842-850. DOI: 10.5220/0010916100003116

in Bibtex Style

@conference{icaart22,
author={Ramoni Lasisi and Connor Philips and Nicholas Hartnett},
title={ALP4AI: Agent-based Learning Platform for Introductory Artificial Intelligence},
booktitle={Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART,},
year={2022},
pages={842-850},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010916100003116},
isbn={978-989-758-547-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART,
TI - ALP4AI: Agent-based Learning Platform for Introductory Artificial Intelligence
SN - 978-989-758-547-0
AU - Lasisi R.
AU - Philips C.
AU - Hartnett N.
PY - 2022
SP - 842
EP - 850
DO - 10.5220/0010916100003116