Mark Law

According to our database, Mark Law authored at least 44 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

The Role of Foundation Models in Neuro-Symbolic Learning and Reasoning.

Daniel Cunnington, Mark Law, Jorge Lobo, Alessandra Russo

Proceedings of the Neural-Symbolic Learning and Reasoning - 18th International Conference, 2024

Towards Explainable Weather Forecasting Through FastLAS.

Talissa Dreossi, Agostino Dovier, Andrea Formisano, Mark Law, Agostino Manzato, Alessandra Russo, Matthew Tait

Proceedings of the Logic Programming and Nonmonotonic Reasoning, 2024

2023

Conflict-Driven Inductive Logic Programming.

Mark Law

Theory Pract. Log. Program., March, 2023

FFNSL: Feed-Forward Neural-Symbolic Learner.

Daniel Cunnington, Mark Law, Jorge Lobo, Alessandra Russo

Mach. Learn., February, 2023

A Unifying Framework for Learning Argumentation Semantics.

Zlatina Mileva, Antonis Bikakis, Fabio Aurelio D'Asaro, Mark Law, Alessandra Russo

CoRR, 2023

Towards ILP-Based LTL f Passive Learning.

Antonio Ielo, Mark Law, Valeria Fionda, Francesco Ricca, Giuseppe De Giacomo, Alessandra Russo

Proceedings of the Inductive Logic Programming - 32nd International Conference, 2023

Neuro-Symbolic Learning of Answer Set Programs from Raw Data.

Daniel Cunnington, Mark Law, Jorge Lobo, Alessandra Russo

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Hierarchies of Reward Machines.

Daniel Furelos-Blanco, Mark Law, Anders Jonsson, Krysia Broda, Alessandra Russo

Proceedings of the International Conference on Machine Learning, 2023

Learning to Break Symmetries for Efficient Optimization in Answer Set Programming.

Alice Tarzariol, Martin Gebser, Konstantin Schekotihin, Mark Law

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Efficient Lifting of Symmetry Breaking Constraints for Complex Combinatorial Problems.

Alice Tarzariol, Konstantin Schekotihin, Martin Gebser, Mark Law

Theory Pract. Log. Program., 2022

Learning to Rank the Distinctiveness of Behaviour in Serial Offending.

Mark Law, Théophile Sautory, Ludovico Mitchener, Kari Davies, Matthew Tonkin, Jessica Woodhams, Dalal Alrajeh

Proceedings of the Logic Programming and Nonmonotonic Reasoning, 2022

Search Space Expansion for Efficient Incremental Inductive Logic Programming from Streamed Data.

Mark Law, Krysia Broda, Alessandra Russo

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Induction and Exploitation of Subgoal Automata for Reinforcement Learning.

Daniel Furelos-Blanco, Mark Law, Anders Jonsson, Krysia Broda, Alessandra Russo

J. Artif. Intell. Res., 2021

FF-NSL: Feed-Forward Neural-Symbolic Learner.

Daniel Cunnington, Mark Law, Alessandra Russo, Jorge Lobo

CoRR, 2021

Online Symbolic Learning of Policies for Explainable Security.

Arthur Drozdov, Mark Law, Jorge Lobo, Alessandra Russo, Mercion Wilathgamuwage Don

Proceedings of the 3rd IEEE International Conference on Trust, 2021

Scalable Non-observational Predicate Learning in ASP.

Mark Law, Alessandra Russo, Krysia Broda, Elisa Bertino

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Towards Neural-Symbolic Learning to support Human-Agent Operations.

Daniel Cunnington, Mark Law, Alessandra Russo, Jorge Lobo, Lance M. Kaplan

Proceedings of the 24th IEEE International Conference on Information Fusion, 2021

Inductive Learning of Complex Knowledge from Raw Data.

Daniel Cunnington, Mark Law, Jorge Lobo, Alessandra Russo

Proceedings of the Thinking Fast and Slow and Other Cognitive Theories in AI, 2021

2020

Inductive general game playing.

Andrew Cropper, Richard Evans, Mark Law

Mach. Learn., 2020

NSL: Hybrid Interpretable Learning From Noisy Raw Data.

Daniel Cunnington, Alessandra Russo, Mark Law, Jorge Lobo, Lance M. Kaplan

CoRR, 2020

The ILASP system for Inductive Learning of Answer Set Programs.

Mark Law, Alessandra Russo, Krysia Broda

CoRR, 2020

Polisma - A Framework for Learning Attribute-Based Access Control Policies.

Amani Abu Jabal, Elisa Bertino, Jorge Lobo, Mark Law, Alessandra Russo, Seraphin B. Calo, Dinesh C. Verma

Proceedings of the Computer Security - ESORICS 2020, 2020

FastLAS: Scalable Inductive Logic Programming Incorporating Domain-Specific Optimisation Criteria.

Mark Law, Alessandra Russo, Elisa Bertino, Krysia Broda, Jorge Lobo

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Induction of Subgoal Automata for Reinforcement Learning.

Daniel Furelos-Blanco, Mark Law, Alessandra Russo, Krysia Broda, Anders Jonsson

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Using an ASG Based Generative Policy to Model Human Rules.

Graham White, John Ingham, Mark Law, Alessandra Russo

Proceedings of the IEEE International Conference on Smart Computing, 2019

Logic-Based Learning of Answer Set Programs.

Mark Law, Alessandra Russo, Krysia Broda

Proceedings of the Reasoning Web. Explainable Artificial Intelligence, 2019

A Demonstration of Generative Policy Models in Coalition Environments.

Daniel Cunnington, Graham White, Mark Law, Geeth de Mel

Proceedings of the Advances in Practical Applications of Survivable Agents and Multi-Agent Systems: The PAAMS Collection, 2019

A Generative Policy Model for Connected and Autonomous Vehicles.

Daniel Cunnington, Irene Manotas, Mark Law, Geeth de Mel, Seraphin B. Calo, Elisa Bertino, Alessandra Russo

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

A Comparison Between Statistical and Symbolic Learning Approaches for Generative Policy Models.

Graham White, Daniel Cunnington, Mark Law, Elisa Bertino, Geeth de Mel, Alessandra Russo

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Generative Policies for Coalition Systems - A Symbolic Learning Framework.

Elisa Bertino, Graham White, Jorge Lobo, John Ingham, Gregory H. Cirincione, Alessandra Russo, Mark Law, Seraphin B. Calo, Irene Manotas, Dinesh C. Verma, Amani Abu Jabal, Daniel Cunnington, Geeth de Mel

Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

Towards a Neural-Symbolic Generative Policy Model.

Daniel Cunnington, Mark Law, Alessandra Russo, Elisa Bertino, Seraphin B. Calo

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Representing and Learning Grammars in Answer Set Programming.

Mark Law, Alessandra Russo, Elisa Bertino, Krysia Broda, Jorge Lobo

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Inductive learning of answer set programs.

Mark Law

PhD thesis, 2018

Inductive Learning of Answer Set Programs from Noisy Examples.

Mark Law, Alessandra Russo, Krysia Broda

CoRR, 2018

The complexity and generality of learning answer set programs.

Mark Law, Alessandra Russo, Krysia Broda

Artif. Intell., 2018

Learning Commonsense Knowledge Through Interactive Dialogue.

Benjamin Wu, Alessandra Russo, Mark Law, Katsumi Inoue

Proceedings of the Technical Communications of the 34th International Conference on Logic Programming, 2018

AGENP: An ASGrammar-based GENerative Policy Framework.

Seraphin B. Calo, Irene Manotas, Geeth de Mel, Daniel Cunnington, Mark Law, Dinesh C. Verma, Alessandra Russo, Elisa Bertino

Proceedings of the Policy-Based Autonomic Data Governance [extended papers from the Second International Workshop on Policy-based Autonomic Data Governance, 2018

2017

Machine Comprehension of Text Using Combinatory Categorial Grammar and Answer Set Programs.

Piotr Chabierski, Alessandra Russo, Mark Law, Krysia Broda

Proceedings of the Thirteenth International Symposium on Commonsense Reasoning, 2017

2016

Iterative Learning of Answer Set Programs from Context Dependent Examples.

Mark Law, Alessandra Russo, Krysia Broda

Theory Pract. Log. Program., 2016

An Abductive-Inductive Algorithm for Probabilistic Inductive Logic Programming.

Stanislav Dragiev, Alessandra Russo, Krysia Broda, Mark Law, Calin-Rares Turliuc

Proceedings of the 26th International Conference on Inductive Logic Programming (Short papers), 2016

Privacy dynamics: learning privacy norms for social software.

Gül Çalikli, Mark Law, Arosha K. Bandara, Alessandra Russo, Luke Dickens, Blaine A. Price, Avelie Stuart, Mark Levine, Bashar Nuseibeh

Proceedings of the 11th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, 2016

2015

Learning weak constraints in answer set programming.

Mark Law, Alessandra Russo, Krysia Broda

Theory Pract. Log. Program., 2015

Automated Inference of Rules with Exception from Past Legal Cases Using ASP.

Duangtida Athakravi, Ken Satoh, Mark Law, Krysia Broda, Alessandra Russo

Proceedings of the Logic Programming and Nonmonotonic Reasoning, 2015

2014

Inductive Learning of Answer Set Programs.

Mark Law, Alessandra Russo, Krysia Broda

Proceedings of the Logics in Artificial Intelligence - 14th European Conference, 2014