Explainable AI for Non-Experts:Energy Tariff Forecasting

Autor: Hongnan Ma, Kevin McAreavey, Ryan McConville, Weiru Liu

Publikováno v: Ma, H, McAreavey, K, McConville, R & Liu, W 2022, Explainable AI for Non-Experts : Energy Tariff Forecasting . in C Yang & Y Xu (eds), 2022 27th International Conference on Automation and Computing : Smart Systems and Manufacturing, ICAC 2022 . 2022 27th International Conference on Automation and Computing: Smart Systems and Manufacturing, ICAC 2022, Institute of Electrical and Electronics Engineers (IEEE) . https://doi.org/10.1109/ICAC55051.2022.9911105

Non-expert users are increasingly affected by the decisions of systems that rely on machine learning (ML), yet it is often difficult for these users to understand the predictions of ML models. In this paper, we propose a web-based platform to evaluat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0bcecd93708821c4306babc1adf4bc04
https://research-information.bris.ac.uk/en/publications/9e0c479c-9ed2-4ae5-9d31-9827772ed01b

Developing and Experimenting on Approaches to Explainability in AI Systems

Autor: Yuhao Zhang, Kevin McAreavey, Weiru Liu

Publikováno v: Zhang, Y, McAreavey, K & Liu, W 2022, Developing and Experimenting on Approaches to Explainability in AI Systems . in A P Rocha, L Steels & J van den Herik (eds), Proceedings of the 14th International Conference on Agents and Artificial Intelligence (ICAART'22) . vol. 2, pp. 518-527, ICAART 2022, 3/02/22 . https://doi.org/10.5220/0010900300003116

There has been a sharp rise in research activities on explainable artificial intelligence (XAI), especially in the context of machine learning (ML). However, there has been less progress in developing and implementing XAI techniques in AI-enabled env

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1760f3e4143524390e5707e8073d497f
https://hdl.handle.net/1983/45b342ee-3b7e-48b2-b1a1-ec6b433934ee

A decision support framework for security resource allocation under ambiguity

Autor: Kevin McAreavey, Weiru Liu, Zhenzhou Chen, Wenjun Ma, Yuncheng Jiang, Jieyu Zhan, Xudong Luo

Publikováno v: Ma, W, Liu, W, Mcareavey, K, Luo, X, Jiang, Y, Zhan, J & Chen, Z 2020, ' A decision support framework for security resource allocation under ambiguity ', International Journal of Intelligent Systems, vol. 36, no. 1, pp. 5-52 . https://doi.org/10.1002/int.22288

There has been increasing interest in using Stackelberg game (known as a security game) to allocate limited security resources against different attacker types with a specific probability distribution. However, real problems of this kind often face a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65404bb9244891c1076907847ddd5fb7
https://research-information.bris.ac.uk/ws/files/272506812/IJIS_final_submited_version.pdf

Intention Interleaving Via Classical Replanning

Autor: Weiru Liu, Kevin McAreavey, Kim Bauters, Mengwei Xu

Publikováno v: ICTAI
Xu, M, McAreavey, K, Bauters, K & Liu, W 2020, Intention Interleaving Via Classical Replanning . in 2019 31st International Conference on Tools with Artificial Intelligence . International Conference on Tools with Artificial Intelligence (ICTAI), Institute of Electrical and Electronics Engineers (IEEE), International Conference on Tools with Artificial Intelligence, Portland, Oregon, United States, 4/11/19 . https://doi.org/10.1109/ICTAI.2019.00021

The BDI architecture, where agents are modelled based on their belief, desires, and intentions, provides a practical approach to developing intelligent agents. One of the key features of BDI agents is that they are able to pursue multiple intentions

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2830a5d584e0b97aeffe8737f71926fc
https://doi.org/10.1109/ictai.2019.00021

Community-Based Measures for Social Capital

Autor: Jun Hong, Weiru Liu, Kevin McAreavey, Christopher T Spratt

Publikováno v: Studies in Computational Intelligence ISBN: 9783030054137
COMPLEX NETWORKS (2)
Studies in Computational Intelligence
Studies in Computational Intelligence-Complex Networks and Their Applications VII
Complex Networks and Their Applications VII-Volume 2 Proceedings The 7th International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2018

Social capital is the value that can be derived from connections between individuals in a social network. The most common forms are bonding and bridging social capital, resulting from connections with similar and diverse groups of individuals respect

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d720942701f649d56bc6aa8845fd27b
https://doi.org/10.1007/978-3-030-05414-4_26