Dr Adam Wyner

Associate Professor

Computer Science

a.z.wyner@swansea.ac.uk

Research Links

https://orcid.org/0000-0002-2958-3428

About

Adam is an Associate Professor Computer Science.

Areas Of Expertise

Artificial Intelligence and Law
Natural Language Processing
Argumentation
Knowledge representation
Knowledge acquisition
Reasoning
Semantic Web
Knowledge graph

Publications

Research Highlights

Bhattacharya, P., Paul, S., Ghosh, K., Ghosh, S., & Wyner, A. (2023). DeepRhole: deep learning for rhetorical role labeling of sentences in legal case documents. Artificial Intelligence and Law, 31(1), 53-90.
https://doi.org/10.1007/s10506-021-09304-5, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa65652
Fawei, B., Pan, J., Kollingbaum, M., & Wyner, A. (2019). A Semi-automated Ontology Construction for Legal Question Answering. New Generation Computing, 37(4), 453-478.
https://doi.org/10.1007/s00354-019-00070-2, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa52803
Bansky, P., Edelstein, E., Pan, J., & Wyner, A. (2020). A Dynamic and Informative Intelligent Survey System Based on Knowledge Graph. In Semantic Technology (pp. 226-241). Springer International Publishing.
https://doi.org/10.1007/978-3-030-41407-8_15, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53829
Edwards, J., Wintersberger, P., Clark, L., Rough, D., Doyle, P., Banks, V., Wyner, A., Janssen, C., & Cowan, B. (2021). CUI @ Auto-UI: Exploring the Fortunate and Unfortunate Futures of Conversational Automotive User Interfaces. In 13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (pp. 186-189). ACM.
https://doi.org/10.1145/3473682.3479717, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa58290
Pan, J., Edelstein, E., Bansky, P., & Wyner, A. (2021). A Knowledge Graph Based Approach to Social Science Surveys. Data Intelligence, 3(4), 477-506.
https://doi.org/10.1162/dint_a_00107, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa58564

All Research

Journal Articles

Anim, k., Robaldo, L., & Wyner, A. (2024). A SHACL-Based Approach for Enhancing Automated Compliance Checking with RDF Data. Information, 15(12), 759
https://doi.org/10.3390/info15120759, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa68487
Bhattacharya, P., Paul, S., Ghosh, K., Ghosh, S., & Wyner, A. (2023). DeepRhole: deep learning for rhetorical role labeling of sentences in legal case documents. Artificial Intelligence and Law, 31(1), 53-90.
https://doi.org/10.1007/s10506-021-09304-5, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa65652
Pan, J., Edelstein, E., Bansky, P., & Wyner, A. (2021). A Knowledge Graph Based Approach to Social Science Surveys. Data Intelligence, 3(4), 477-506.
https://doi.org/10.1162/dint_a_00107, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa58564
Liepiņa, R., Sartor, G., & Wyner, A. (2020). Arguing about causes in law: a semi-formal framework for causal arguments. Artificial Intelligence and Law, 28(1), 69-89.
https://doi.org/10.1007/s10506-019-09246-z, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49685
http://dx.doi.org/10.1007/s10506-019-09246-z
Fawei, B., Pan, J., Kollingbaum, M., & Wyner, A. (2019). A Semi-automated Ontology Construction for Legal Question Answering. New Generation Computing, 37(4), 453-478.
https://doi.org/10.1007/s00354-019-00070-2, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa52803
Strass, H., Wyner, A., & Diller, M. (2019). EMIL: Extracting Meaning from Inconsistent Language. International Journal of Approximate Reasoning, 112, 55-84.
https://doi.org/10.1016/j.ijar.2019.04.010, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50680
Shulayeva, O., Siddharthan, A., & Wyner, A. (2017). Recognizing cited facts and principles in legal judgements. Artificial Intelligence and Law, 25(1), 107-126.
https://doi.org/10.1007/s10506-017-9197-6, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa40674
Wyner, A. (2016). Working on the argument pipeline: Through flow issues between natural language argument, instantiated arguments, and argumentation frameworks. Argument & Computation, 7(1), 69-89.
https://doi.org/10.3233/AAC-160002, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50688
https://content.iospress.com/articles/argument-and-computation/aac002
Wyner, A. (2016). A functional perspective on argumentation schemes. Argument & Computation, 7(2-3), 113-133.
https://doi.org/10.3233/AAC-160010, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa40693
Lin, C., Ibeke, E., Wyner, A., & Guerin, F. (2015). Sentiment-topic modeling in text mining. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 5(5), 246-254.
https://doi.org/10.1002/widm.1161, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50692
Prakken, H., Wyner, A., Bench-Capon, T., & Atkinson, K. (2015). A formalization of argumentation schemes for legal case-based reasoning in ASPIC+. Journal of Logic and Computation, 25(5), 1141-1166.
https://doi.org/10.1093/logcom/ext010, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50722
Wyner, A., Bench-Capon, T., Dunne, P., & Cerutti, F. (2015). Senses of ‘argument’ in instantiated argumentation frameworks. Argument & Computation, 6(1), 50-72.
https://doi.org/10.1080/19462166.2014.1002535, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa40673
Wyner, A. & Hoekstra, R. (2012). A legal case OWL ontology with an instantiation of Popov v. Hayashi. Artificial Intelligence and Law, 20(1), 83-107.
https://doi.org/10.1007/s10506-012-9119-6, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50704
Wyner, A., Bench-Capon, T., & Wyner, A. (2009). Modelling Judicial Context in Argumentation Frameworks. Journal of Logic and Computation, 19(6), 941-968.
https://doi.org/10.1093/logcom/exp009, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50733
Wyner, A. (2008). An ontology in OWL for legal case-based reasoning. Artificial Intelligence and Law, 16(4), 361-387.
https://doi.org/10.1007/s10506-008-9070-8, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50734

Authored Books

Wyner, A. (2017). Book chapter: On annotation of the textual contents of Scottish legal instruments IOS Press.
https://doi.org/10.3233/978-1-61499-838-9-101, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50681
Wyner, A. & Strass, H. (2017). Advances in Artificial Intelligence: From Theory to Practice Springer Verlag.
https://doi.org/10.1007/978-3-319-60045-1_35, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50683
Wyner, A., Nazarenko, A., & Lévy, F. (2016). Controlled Natural Language Springer.
https://doi.org/10.1007/978-3-319-41498-0_9, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50686
Wyner, A. (2016). Towards a methodology for formalizing legal texts in LegalRuleML IOS Press.
https://doi.org/10.3233/978-1-61499-726-9-149, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50687
Wyner, A. (2015). Passing a USA national bar exam - A first experiment IOS Press.
https://doi.org/10.3233/978-1-61499-609-5-179, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50691
https://ebooks.iospress.nl/DOI/10.3233/978-1-61499-609-5-179
Bench-Capon, T., Atkinson, K., & Wyner, A. (2015). Using Argumentation to Structure E-Participation in Policy Making. Springer.
https://doi.org/10.1007/978-3-662-46485-4_1, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50693
https://www.springer.com/gb/book/9783662464847?utm_campaign=bookpage_about_buyonpublisherssite&utm_medium=referral&utm_source=springerlink
Wyner, A. (2013). A case study on legal case annotation
https://doi.org/10.3233/978-1-61499-359-9-165, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50696
Wyner, A. (2013). Argumentation schemes for reasoning about factors with dimensions
https://doi.org/10.3233/978-1-61499-359-9-39, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50700
Athan, T., Boley, H., Governatori, G., Palmirani, M., Paschke, A., & Wyner, A. (2013). Theory, Practice, and Applications of Rules on the Web
https://doi.org/10.1007/978-3-642-39617-5_4, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50701
Wyner, A., Bench-Capon, T., & Dunne, P. (2013). Computational Logic in Multi-Agent Systems
https://doi.org/10.1007/978-3-642-40624-9_3, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50703
Wyner, A. (2012). A model-based critique tool for policy deliberation
https://doi.org/10.3233/978-1-61499-167-0-167, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50705
Wyner, A. (2012). An empirical approach to the semantic representation of laws
https://doi.org/10.3233/978-1-61499-167-0-177, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50706
Lloyd-Kelly, M. & Wyner, A. (2012). Advances in User Modeling
https://doi.org/10.1007/978-3-642-28509-7_33, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50707
Wyner, A., Riley, L., Hoehndorf, R., & Croset, S. (2012). Information Technology in Bio- and Medical Informatics
https://doi.org/10.1007/978-3-642-32395-9_10, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50709
Wyner, A. (2012). Critiquing justifications for action using a semantic model: Demonstration
https://doi.org/10.3233/978-1-61499-111-3-503, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50710
Schneider, J., Davis, B., & Wyner, A. (2012). Knowledge Engineering and Knowledge Management
https://doi.org/10.1007/978-3-642-33876-2_4, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50711
Wyner, A., Atkinson, K., & Bench-Capon, T. (2012). Electronic Participation
https://doi.org/10.1007/978-3-642-33250-0_11, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50713
Wyner, A. (2012). Semi-automated argumentative analysis of online product reviews
https://doi.org/10.3233/978-1-61499-111-3-43, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50714
Wyner, A. (2011). On rule extraction from regulations
https://doi.org/10.3233/978-1-60750-981-3-113, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50717
Wyner, A. (2011). Populating an online consultation tool
https://doi.org/10.3233/978-1-60750-981-3-150, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50718
Wyner, A., Atkinson, K., & Bench-Capon, T. (2011). Electronic Participation
https://doi.org/10.1007/978-3-642-23333-3_25, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50720
Wyner, A., Mochales-Palau, R., Moens, M., & Milward, D. (2010). Semantic Processing of Legal Texts
https://doi.org/10.1007/978-3-642-12837-0_4, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50723
Wyner, A. (2010). Arguing Global Governance
https://doi.org/10.4324/9780203842577, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50724
Wyner, A., Engers, T., & Bahreini, K. (2010). Electronic Government and the Information Systems Perspective
https://doi.org/10.1007/978-3-642-15172-9_5, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50725
Wyner, A. (2010). Lexical semantics and expert legal knowledge towards the identification of legal case factors
https://doi.org/10.3233/978-1-60750-682-9-127, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50726
Wyner, A., Angelov, K., Barzdins, G., Damljanovic, D., Davis, B., Fuchs, N., Hoefler, S., Jones, K., Kaljurand, K., Kuhn, T., Luts, M., Pool, J., Rosner, M., Schwitter, R., & Sowa, J. (2010). Controlled Natural Language
https://doi.org/10.1007/978-3-642-14418-9_17, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50727
Wyner, A. (2008). Modelling judicial context in argumentation frameworks
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50735
Wyner, A. (2007). Three senses of "argument"
https://doi.org/10.1007/978-3-540-85569-9_10, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50736
Wyner, A. (2007). Towards an extensible argumentation system
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50737
Wyner, A. (2006). A functional program for agents, actions, and deontic specifications
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50738
Wyner, A. (2006). Deontic Logic and Artificial Normative Systems
https://doi.org/10.1007/11786849_21, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50739

Book Chapters

Liepina, R., Sartor, G., & Wyner, A. (2018). Causal Models of Legal Cases. Lecture Notes in Computer Science (pp. 172-186). Springer International Publishing
https://doi.org/10.1007/978-3-030-00178-0_11, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50222
http://dx.doi.org/10.1007/978-3-030-00178-0_11
Peters, W. & Wyner, A. (2015). Extracting Hohfeldian relations from text. In Antonino Rotolo (Ed.), Legal Knowledge and Information Systems (pp. 189-190). IOS Press
https://doi.org/10.3233/978-1-61499-609-5-189, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50689
https://ebooks.iospress.nl/volumearticle/42000
Athan, T., Governatori, G., Palmirani, M., Paschke, A., & Wyner, A. (2015). LegalRuleML: Design Principles and Foundations. In Wolfgang Faber, Adrian Paschke. (Ed.), Reasoning Web. Web Logic Rules (pp. 151-188). Springer International Publishing
https://doi.org/10.1007/978-3-319-21768-0_6, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50690
Wyner, A., Bench-Capon, T., & Dunne, P. (2009). On the Instantiation of Knowledge Bases in Abstract Argumentation Frameworks. Computational Logic in Multi-Agent Systems -50).
https://doi.org/10.1007/978-3-642-40624-9_3, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50732
Wyner, A. (2004). Maintaining Obligations on Stative Expressions in a Deontic Action Logic. Deontic Logic in Computer Science -274).
https://doi.org/10.1007/978-3-540-25927-5_17, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50740

Conference Contributions

Anim, k., Robaldo, L., & Wyner, A. (2024). Compliance Checking in the Energy Domain via W3C Standards. In New Frontiers in Artificial Intelligence (pp. 3-18). Springer Nature Switzerland.
https://doi.org/10.1007/978-3-031-60511-6_1, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa66752
Edwards, J., Wintersberger, P., Clark, L., Rough, D., Doyle, P., Banks, V., Wyner, A., Janssen, C., & Cowan, B. (2021). CUI @ Auto-UI: Exploring the Fortunate and Unfortunate Futures of Conversational Automotive User Interfaces. In 13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (pp. 186-189). ACM.
https://doi.org/10.1145/3473682.3479717, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa58290
Bansky, P., Edelstein, E., Pan, J., & Wyner, A. (2020). A Dynamic and Informative Intelligent Survey System Based on Knowledge Graph. In Semantic Technology (pp. 226-241). Springer International Publishing.
https://doi.org/10.1007/978-3-030-41407-8_15, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53829
Wyner, A. (2018). A Chatbot Framework for the Children's Legal Centre. In Legal Knowledge and Information Systems (pp. 205-209). IOS Press.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa48661
http://ebooks.iospress.nl/volume/legal-knowledge-and-information-systems-jurix-2018-the-thirty-first-annual-conference
Morgan, J., Paiement, A., Seisenberger, M., Williams, J., & Wyner, A. (2018). A Chatbot Framework for the Children’s Legal Centre. In Frontiers in Artificial Intelligence and Applications (pp. 205-209).
https://doi.org/10.3233/978-1-61499-935-5-205, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa48384
http://ebooks.iospress.nl/volumearticle/50853
Fawei, B., Pan, J., Kollingbaum, M., & Wyner, A. (2018). A Methodology for a Criminal Law and Procedure Ontology for Legal Question Answering. In Semantic Technology (pp. 198-214).
https://doi.org/10.1007/978-3-030-04284-4_14, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa47953
Soares, R., Edelstein, E., Pan, J., & Wyner, A. (2018). Knowledge Driven Intelligent Survey Systems for Linguists. In Semantic Technology-18). Semantic Technology: 8th Joint International Conference, JIST 2018..
https://doi.org/10.1007/978-3-030-04284-4_1, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa47954
Wyner, A. (2017). On automated defeasible reasoning with controlled natural language and argumentation. In AAAI Publications, Workshops at the Thirty-First AAAI Conference on Artificial Intelligence
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50682
Wyner, A. & Peters, W. (2016). Legal text interpretation: Identifying Hohfeldian relations from text. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016) (pp. 379-384).
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50684
https://www.aclweb.org/anthology/L16-1059/
Wyner, A. (2016). Passing a USA national bar exam: A first corpus for experimentation. LREC 2016, Tenth International Conference on Language Resources and Evaluation.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50685
http://www.lrec-conf.org/proceedings/lrec2016/summaries/1160.html
Wyner, A. (2014). Legal interpretations in LegalRuleML.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50694
Wyner, A. (2014). Mining fine-grained argument elements.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50695
Wyner, A. (2013). A study on translating regulatory rules from natural language to defeasible logic.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50697
Bench-Capon, T., Prakken, H., Wyner, A., & Atkinson, K. (2013). Argument schemes for reasoning with legal cases using values. In ICAIL '13 Proceedings of the Fourteenth International Conference on Artificial Intelligence and Law (pp. 13-22). International Conference on Artificial Intelligence and Law.
https://doi.org/10.1145/2514601.2514604, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50698
Wardeh, M., Wyner, A., Atkinson, K., & Bench-Capon, T. (2013). Argumentation based tools for policy-making. In ICAIL '13 Proceedings of the Fourteenth International Conference on Artificial Intelligence and Law (pp. 249-250). International Conference on Artificial Intelligence and Law.
https://doi.org/10.1145/2514601.2514640, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50699
Athan, T., Boley, H., Governatori, G., Palmirani, M., Paschke, A., & Wyner, A. (2013). OASIS LegalRuleML. In ICAIL '13 Proceedings of the Fourteenth International Conference on Artificial Intelligence and Law (pp. 3-12). International Conference on Artificial Intelligence and Law.
https://doi.org/10.1145/2514601.2514603, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50702
Wyner, A. (2012). Arguing from a point of view.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50708
Wyner, A. (2012). Identifying consumers' arguments in text.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50712
Wyner, A. (2011). Arguing with emotion.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50715
Atkinson, K., Bench-Capon, T., Cartwright, D., & Wyner, A. (2011). Semantic models for policy deliberation. In ICAIL '11 Proceedings of the 13th International Conference on Artificial Intelligence and Law (pp. 81-90). International Conference on Artificial Intelligence and Law.
https://doi.org/10.1145/2018358.2018369, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50719
Wyner, A., Bench-Capon, T., & Atkinson, K. (2011). Towards formalising argumentation about legal cases. In ICAIL '11 Proceedings of the 13th International Conference on Artificial Intelligence and Law (pp. 1-10). International Conference on Artificial Intelligence and Law.
https://doi.org/10.1145/2018358.2018359, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50721
Wyner, A. (2010). Representing deontic concepts for CNLs.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50728
Wyner, A. (2010). Towards annotating and extracting textual legal case elements.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50729
Wyner, A. (2010). Web-based mass argumentation in natural language.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50730
Wyner, A. (2010). What do you mean? Arguing for meaning.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50731
Wyner, A., Bench-Capon, T., & Dunne, P. (2009). On the Instantiation of Knowledge Bases in Abstract Argumentation Frameworks. In Computational Logic in Multi-Agent Systems (pp. 34-50).
https://doi.org/10.1007/978-3-642-40624-9_3, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa52172

Supervision

Computational Semantics of Natural Language for Computational Law (current)

PhD

Other supervisor: Dr Julian Hough
Mind the Gap: Representation and Reasoning for Autonomous Vehicles (current)

PhD

Other supervisor: Dr Ulrich Berger
Automating documentary regulatory compliance in the upstream petroleum sector of Ghana with particular focus on the area of local content and participation. (current)

PhD

Other supervisor: Dr Livio Robaldo

Taught Modules

CS-265 Artificial Intelligence

CS-265 is an introduction to Artificial Intelligence (AI) focusing primarily on reasoning and problem solving as a search for a solution. The central notions of a rational agent and multi-agent systems are used to introduce concepts like beliefs, desires, and intentions that are fundamental to the search for solutions within the context of an observable environment. Further aspects of symbolic AI such as knowledge representation and expert systems, planning, and language processing will be covered. All of these topics are embedded into a human-centred perspective of AI.
CSC315 Advanced Topics in Artificial Intelligence

This module exposes students to advanced topics in Artificial Intelligence, deepening the range and depth of knowledge of concepts and techniques in AI. Human-centred topics that bear on AI will also be addressed as well as integrations across approaches for Explainable AI. The course may vary topics from year to year from amongst the following or additions as appropriate: advanced machine learning (ML) models and algorithms, ML approaches to NLP, advanced symbolic AI and NLP, integrations of ML and symbolic approaches, and human-centredness (e.g., interpretability, transparency, trust).
CSC325 Artificial Intelligence

CSC325 is an introduction to Artificial Intelligence (AI) focusing primarily on reasoning and problem solving as a search for a solution. The central notions of a rational agent and multi-agent systems are used to introduce concepts like beliefs, desires, and intentions that are fundamental to the search for solutions within the context of an observable environment. Further aspects of symbolic AI such as knowledge representation and expert systems, planning, and language processing will be covered. All of these topics are embedded into a human-centred perspective of AI.

Dr Adam Wyner

Email address

Research Links

About

Areas Of Expertise

Publications

Research Highlights

All Research

Journal Articles

Authored Books

Book Chapters

Conference Contributions

Supervision

Computational Semantics of Natural Language for Computational Law (current)

Mind the Gap: Representation and Reasoning for Autonomous Vehicles (current)

Automating documentary regulatory compliance in the upstream petroleum sector of Ghana with particular focus on the area of local content and participation. (current)

Taught Modules

CS-265 Artificial Intelligence

CSC315 Advanced Topics in Artificial Intelligence

CSC325 Artificial Intelligence