Noise induced hearing loss: Building an application using the ANGELIC methodology

Author:

Al-Abdulkarim Latifa1,Atkinson Katie1,Bench-Capon Trevor1,Whittle Stuart2,Williams Rob2,Wolfenden Catriona2

Affiliation:

1. Department of Computer Science, The University of Liverpool, UK

2. Weightmans LLP, Liverpool, UK

Publisher

IOS Press

Subject

Artificial Intelligence,Computational Mathematics,Computer Science Applications,Linguistics and Language

Reference39 articles.

1. L. Al-Abdulkarim, K. Atkinson, S. Atkinson and T. Bench-Capon, Angelic environment: Demonstration, in: Proceedings of the 16th International Conference on Artificial Intelligence and Law, ACM, 2017, pp. 267–268.

2. Accommodating change;Al-Abdulkarim;Artificial Intelligence and Law,2016

3. A methodology for designing systems to reason with legal cases using Abstract Dialectical Frameworks;Al-Abdulkarim;Artificial Intelligence and Law,2016

4. L. Al-Abdulkarim, K. Atkinson and T. Bench-Capon, Statement types in legal argument, in: Legal Knowledge and Information Systems – JURIX 2016: The Twenty-Ninth Annual Conference, 2016, pp. 3–12.

5. L. Al-Abdulkarim, K. Atkinson and T. Bench-Capon, Noise Induced Hearing Loss: An Application of the Angelic Methodology, in: Legal Knowledge and Information Systems – JURIX 2017: The Thirtieth Annual Conference, 2017, pp. 79–88.

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2. Combining a Legal Knowledge Model with Machine Learning for Reasoning with Legal Cases;Proceedings of the Nineteenth International Conference on Artificial Intelligence and Law;2023-06-19

3. ANGELIC II;Proceedings of the Nineteenth International Conference on Artificial Intelligence and Law;2023-06-19

4. The benefits and dangers of using machine learning to support making legal predictions;WIREs Data Mining and Knowledge Discovery;2023-05-11

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