2023
Heyninck, Jesse; Bogaerts, Bart
Non-deterministic Approximation Operators: Ultimate Operators, Semi-equilibrium Semantics, and Aggregates Journal Article
In: Theory and Practice of Logic Programming, vol. 23, no. 4, pp. 632–647, 2023.
@article{DBLP:journals/tplp/HeyninckB23,
title = {Non-deterministic Approximation Operators: Ultimate Operators, Semi-equilibrium Semantics, and Aggregates},
author = {Jesse Heyninck and Bart Bogaerts},
url = {https://doi.org/10.1017/s1471068423000236},
doi = {10.1017/S1471068423000236},
year = {2023},
date = {2023-01-01},
urldate = {2023-01-01},
journal = {Theory and Practice of Logic Programming},
volume = {23},
number = {4},
pages = {632–647},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Heyninck, Jesse; Raddaoui, Badran; Straßer, Christian
Ranking-based Argumentation Semantics Applied to Logical Argumentation Proceedings Article
In: Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, IJCAI 2023, 19th-25th August 2023, Macao, SAR, China, pp. 3268–3276, ijcai.org, 2023.
@inproceedings{DBLP:conf/ijcai/HeyninckRS23,
title = {Ranking-based Argumentation Semantics Applied to Logical Argumentation},
author = {Jesse Heyninck and Badran Raddaoui and Christian Straßer},
url = {https://doi.org/10.24963/ijcai.2023/364},
doi = {10.24963/IJCAI.2023/364},
year = {2023},
date = {2023-01-01},
booktitle = {Proceedings of the Thirty-Second International Joint Conference on
Artificial Intelligence, IJCAI 2023, 19th-25th August 2023, Macao,
SAR, China},
pages = {3268–3276},
publisher = {ijcai.org},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Wilhelm, Marco; Sezgin, Meliha; Kern-Isberner, Gabriele; Haldimann, Jonas; Beierle, Christoph; Heyninck, Jesse
Splitting Techniques for Conditional Belief Bases in the Context of c-Representations Proceedings Article
In: Gaggl, Sarah Alice; Martinez, Maria Vanina; Ortiz, Magdalena (Ed.): Logics in Artificial Intelligence - 18th European Conference, JELIA 2023, Dresden, Germany, September 20-22, 2023, Proceedings, pp. 462–477, Springer, 2023.
@inproceedings{DBLP:conf/jelia/WilhelmSKHBH23,
title = {Splitting Techniques for Conditional Belief Bases in the Context of
c-Representations},
author = {Marco Wilhelm and Meliha Sezgin and Gabriele Kern-Isberner and Jonas Haldimann and Christoph Beierle and Jesse Heyninck},
editor = {Sarah Alice Gaggl and Maria Vanina Martinez and Magdalena Ortiz},
url = {https://doi.org/10.1007/978-3-031-43619-2_32},
doi = {10.1007/978-3-031-43619-2_32},
year = {2023},
date = {2023-01-01},
booktitle = {Logics in Artificial Intelligence - 18th European Conference, JELIA
2023, Dresden, Germany, September 20-22, 2023, Proceedings},
volume = {14281},
pages = {462–477},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Arieli, Ofer; Heyninck, Jesse
Simple Contrapositive Assumption-Based Argumentation with Partially-Ordered Preferences Proceedings Article
In: Marquis, Pierre; Son, Tran Cao; Kern-Isberner, Gabriele (Ed.): Proceedings of the 20th International Conference on Principles of Knowledge Representation and Reasoning, KR 2023, Rhodes, Greece, September 2-8, 2023, pp. 55–64, 2023.
@inproceedings{DBLP:conf/kr/ArieliH23,
title = {Simple Contrapositive Assumption-Based Argumentation with Partially-Ordered
Preferences},
author = {Ofer Arieli and Jesse Heyninck},
editor = {Pierre Marquis and Tran Cao Son and Gabriele Kern-Isberner},
url = {https://doi.org/10.24963/kr.2023/6},
doi = {10.24963/KR.2023/6},
year = {2023},
date = {2023-01-01},
booktitle = {Proceedings of the 20th International Conference on Principles of
Knowledge Representation and Reasoning, KR 2023, Rhodes, Greece,
September 2-8, 2023},
pages = {55–64},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Heyninck, Jesse
An Algebraic Notion of Conditional Independence, and its Application to Knowledge Representation (Preliminary Report) Proceedings Article
In: Sauerwald, Kai; Thimm, Matthias (Ed.): Proceedings of the 21st International Workshop on Non-Monotonic Reasoning co-located with the 20th International Conference on Principles of Knowledge Representation and Reasoning (KR 2023) and co-located with the 36th International Workshop on Description Logics (DL 2023), Rhodes, Greece, September 2-4, 2023, pp. 64–73, CEUR-WS.org, 2023.
@inproceedings{DBLP:conf/nmr/Heyninck23,
title = {An Algebraic Notion of Conditional Independence, and its Application
to Knowledge Representation (Preliminary Report)},
author = {Jesse Heyninck},
editor = {Kai Sauerwald and Matthias Thimm},
url = {https://ceur-ws.org/Vol-3464/paper7.pdf},
year = {2023},
date = {2023-01-01},
booktitle = {Proceedings of the 21st International Workshop on Non-Monotonic Reasoning
co-located with the 20th International Conference on Principles of
Knowledge Representation and Reasoning (KR 2023) and co-located
with the 36th International Workshop on Description Logics (DL 2023),
Rhodes, Greece, September 2-4, 2023},
volume = {3464},
pages = {64–73},
publisher = {CEUR-WS.org},
series = {CEUR Workshop Proceedings},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Heyninck, Jesse
Semantics for Logic Programs with Choice Constructs on the Basis of Approximation Fixpoint Theory (Preliminary Report) Proceedings Article
In: Sauerwald, Kai; Thimm, Matthias (Ed.): Proceedings of the 21st International Workshop on Non-Monotonic Reasoning co-located with the 20th International Conference on Principles of Knowledge Representation and Reasoning (KR 2023) and co-located with the 36th International Workshop on Description Logics (DL 2023), Rhodes, Greece, September 2-4, 2023, pp. 74–83, CEUR-WS.org, 2023.
@inproceedings{DBLP:conf/nmr/Heyninck23a,
title = {Semantics for Logic Programs with Choice Constructs on the Basis of
Approximation Fixpoint Theory (Preliminary Report)},
author = {Jesse Heyninck},
editor = {Kai Sauerwald and Matthias Thimm},
url = {https://ceur-ws.org/Vol-3464/paper8.pdf},
year = {2023},
date = {2023-01-01},
booktitle = {Proceedings of the 21st International Workshop on Non-Monotonic Reasoning
co-located with the 20th International Conference on Principles of
Knowledge Representation and Reasoning (KR 2023) and co-located
with the 36th International Workshop on Description Logics (DL 2023),
Rhodes, Greece, September 2-4, 2023},
volume = {3464},
pages = {74–83},
publisher = {CEUR-WS.org},
series = {CEUR Workshop Proceedings},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Baker, Clayton K.; Álvarez, Lucía Gómez; Heyninck, Jesse; Meyer, Thomas; Peñaloza, Rafael; Vesic, Srdjan (Ed.)
CEUR-WS.org, vol. 3548, 2023.
@proceedings{DBLP:conf/kodis/2023,
title = {Joint Proceedings of the 2nd Workshop on Knowledge Diversity and the
2nd Workshop on Cognitive Aspects of Knowledge Representation co-located
with 20th International Conference on Principles of Knowledge Representation
and Reasoning (KR2023), Rhodes, Greece, September 3-4, 2023},
editor = {Clayton K. Baker and Lucía Gómez Álvarez and Jesse Heyninck and Thomas Meyer and Rafael Peñaloza and Srdjan Vesic},
url = {https://ceur-ws.org/Vol-3548},
year = {2023},
date = {2023-01-01},
volume = {3548},
publisher = {CEUR-WS.org},
series = {CEUR Workshop Proceedings},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
Chafik, Anasse; Alili, Fahima Cheikh; Condotta, Jean-François; Varzinczak, Ivan
Defeasible linear temporal logic Journal Article
In: Journal of Applied Non-Classical Logics, vol. 33, no. 1, pp. 1–51, 2023.
@article{DBLP:journals/jancl/ChafikACV23,
title = {Defeasible linear temporal logic},
author = {Anasse Chafik and Fahima Cheikh Alili and Jean-François Condotta and Ivan Varzinczak},
url = {https://doi.org/10.1080/11663081.2023.2209494},
doi = {10.1080/11663081.2023.2209494},
year = {2023},
date = {2023-01-01},
urldate = {2023-01-01},
journal = {Journal of Applied Non-Classical Logics},
volume = {33},
number = {1},
pages = {1–51},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Casini, Giovanni; Straccia, Umberto
Defeasible RDFS via rational closure Journal Article
In: Information Sciences, vol. 643, pp. 118409, 2023.
@article{DBLP:journals/isci/CasiniS23,
title = {Defeasible RDFS via rational closure},
author = {Giovanni Casini and Umberto Straccia},
url = {https://doi.org/10.1016/j.ins.2022.11.165},
doi = {10.1016/J.INS.2022.11.165},
year = {2023},
date = {2023-01-01},
urldate = {2023-01-01},
journal = {Information Sciences},
volume = {643},
pages = {118409},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Benferhat, Salem; Casini, Giovanni; Meyer, Thomas; Tettamanzi, Andrea (Ed.)
CEUR-WS.org, vol. 3495, 2023.
@proceedings{DBLP:conf/kr/2023enigma,
title = {Proceedings of 1st Workshop on AI-driven heterogeneous data management:
Completing, merging, handling inconsistencies and query-answering,
co-located with 20th International Conference on Principles of Knowledge
Representation and Reasoning (KR 2023), Rhodes, Greece, September
3-4, 2023},
editor = {Salem Benferhat and Giovanni Casini and Thomas Meyer and Andrea Tettamanzi},
url = {https://ceur-ws.org/Vol-3495},
year = {2023},
date = {2023-01-01},
volume = {3495},
publisher = {CEUR-WS.org},
series = {CEUR Workshop Proceedings},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
2022
Davidson, Mikhail; Moodley, Deshendran
ST-GNNs for Weather Prediction in South Africa Proceedings Article
In: Artificial Intelligence Research. SACAIR 2022., pp. 93-107, Springer, Cham, 2022.
Abstract | Links | BibTeX | Tags:
@inproceedings{Davidson2022b,
title = {ST-GNNs for Weather Prediction in South Africa},
author = {Mikhail Davidson and Deshendran Moodley},
doi = {10.1007/978-3-031-22321-1_7},
year = {2022},
date = {2022-11-28},
urldate = {2022-11-28},
booktitle = {Artificial Intelligence Research. SACAIR 2022.},
volume = {1734},
pages = {93-107},
publisher = {Springer, Cham},
series = {Communications in Computer and Information Science},
abstract = {Spatial-temporal graph neural networks (ST-GNN) have been shown to be highly effective for flow prediction in dynamic systems, but are under explored for weather prediction applications. We compare and evaluate Graph WaveNet (GWN) and the Low Rank Weighted Graph Neural Network (WGN) for weather prediction in South Africa. We compare these results to two basic temporal deep neural networks architectures, i.e. the Long Short-Term Memory (LSTM) and the Temporal Convolutional Neural Network (TCN), for maximum temperature prediction across 21 weather stations in South Africa. We also perform rigorous experiments to evaluate the stability and robustness of both ST-GNNs. The results show that the GWN model outperforms the other models across different prediction horizons with an average SMAPE score of 8.30%. We also analyse and compare learnt adjacency matrices of the two ST-GNNs to gain insights into the prominent spatial-temporal dependencies between weather stations.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Heyninck, Jesse; Meyer, Thomas
Relevance in the Computation of Non-monotonic Inferences Proceedings Article
In: Pillay, Anban; Jembere, Edgar; Gerber, Aurona (Ed.): Artificial Intelligence Research. SACAIR 2022., pp. 202-214, Springer, Cham, 2022.
Abstract | Links | BibTeX | Tags:
@inproceedings{Heyninck2022b,
title = {Relevance in the Computation of Non-monotonic Inferences},
author = {Jesse Heyninck and Thomas Meyer},
editor = {Anban Pillay and Edgar Jembere and Aurona Gerber},
doi = {10.1007/978-3-031-22321-1_14},
year = {2022},
date = {2022-11-28},
booktitle = {Artificial Intelligence Research. SACAIR 2022.},
volume = {1743},
pages = {202-214},
publisher = {Springer, Cham},
series = {Communications in Computer and Information Science},
abstract = {Inductive inference operators generate non-monotonic inference relations on the basis of a set of conditionals. Examples include rational closure, system P and lexicographic inference. For most of these systems, inference has a high worst-case computational complexity. Recently, the notion of syntax splitting has been formulated, which allows restricting attention to subsets of conditionals relevant for a given query. In this paper, we define algorithms for inductive inference that take advantage of syntax splitting in order to obtain more efficient decision procedures. In particular, we show that relevance allows to use the modularity of knowledge base is a parameter that leads to tractable cases of inference for inductive inference operators such as lexicographic inference.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Price, C. Sue; Moodley, Deshendran; Pillay, Anban; Rens, Gavin
An adaptive probabilistic agent architecture for modelling sugarcane growers’ decision-making Journal Article
In: South African Computer Journal, vol. 34, iss. 1, pp. 152-191, 2022.
Abstract | Links | BibTeX | Tags:
@article{Price2022b,
title = {An adaptive probabilistic agent architecture for modelling sugarcane growers’ decision-making},
author = {C. Sue Price and Deshendran Moodley and Anban Pillay and Gavin Rens},
doi = {10.18489/sacj.v34i1.857},
year = {2022},
date = {2022-07-22},
urldate = {2022-07-00},
journal = {South African Computer Journal},
volume = {34},
issue = {1},
pages = {152-191},
abstract = {Building computational models of agents in dynamic, partially observable and stochastic environments is challenging. We propose a cognitive computational model of sugarcane growers’ daily decision-making to examine sugarcane supply chain complexities. Growers make decisions based on uncertain weather forecasts; cane dryness; unforeseen emergencies; and the mill’s unexpected call for delivery of a different amount of cane. The Belief-Desire-Intention (BDI) architecture has been used to model cognitive agents in many domains, including agriculture. However, typical implementations of this architecture have represented beliefs symbolically, so uncertain beliefs are usually not catered for. Here we show that a BDI architecture, enhanced with a dynamic decision network (DDN), suitably models sugarcane grower agents’ repeated daily decisions. Using two complex scenarios, we demonstrate that the agent selects the appropriate intention, and suggests how the grower should act adaptively and proactively to achieve his goals. In addition, we provide a mapping for using a DDN in a BDI architecture. This architecture can be used for modelling sugarcane grower agents in an agent-based simulation. The mapping of the DDN’s use in the BDI architecture enables this work to be applied to other domains for modelling agents’ repeated decisions in partially observable, stochastic and dynamic environments.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Wanyana, Tezira; Nzomo, Mbithe; Price, C. Sue; Moodley, Deshendran
Combining Machine Learning and Bayesian Networks for ECG Interpretation and Explanation Conference
Proceedings of the 8th International Conference on Information and Communication Technologies for Ageing Well and e-Health, SciTePress, INSTICC, 2022, ISBN: 978-989-758-566-1.
Abstract | Links | BibTeX | Tags:
@conference{Wanyana2022b,
title = {Combining Machine Learning and Bayesian Networks for ECG Interpretation and Explanation},
author = {Tezira Wanyana and Mbithe Nzomo and C. Sue Price and Deshendran Moodley},
doi = {10.5220/0011046100003188},
isbn = {978-989-758-566-1},
year = {2022},
date = {2022-04-23},
urldate = {2022-04-23},
booktitle = {Proceedings of the 8th International Conference on Information and Communication Technologies for Ageing Well and e-Health},
journal = {Proceedings of the 8th International Conference on Information and Communication Technologies for Ageing Well and e-Health - ICT4AWE},
pages = {81-92},
publisher = {SciTePress},
address = {INSTICC},
abstract = {We explore how machine learning (ML) and Bayesian networks (BNs) can be combined in a personal health agent (PHA) for the detection and interpretation of electrocardiogram (ECG) characteristics. We propose a PHA that uses ECG data from wearables to monitor heart activity, and interprets and explains the observed readings. We focus on atrial fibrillation (AF), the commonest type of arrhythmia. The absence of a P-wave in an ECG is the hallmark indication of AF. Four ML models are trained to classify an ECG signal based on the presence or absence of the P-wave: multilayer perceptron (MLP), logistic regression, support vector machine, and random forest. The MLP is the best performing model with an accuracy of 89.61% and an F1 score of 88.68%. A BN representing AF risk factors is developed based on expert knowledge from the literature and evaluated using Pitchforth and Mengersen’s validation framework. The P-wave presence or absence as determined by the ML model is input into the BN. The PHA is evaluated using sample use cases to illustrate how the BN can explain the occurrence of AF using diagnostic reasoning. This gives the most likely AF risk factors for the individual},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Aarons, Shai; Moodley, D; Nzomo, M
A Generalizable Hybrid Deep Learning Algorithm for the Detection of Atrial Fibrillation from Diverse Electrocardiogram Data Technical Report
Technical Report, University of Cape Town, Cape Town, 2022. URL: https~… 2022.
@techreport{aaronsgeneralizable,
title = {A Generalizable Hybrid Deep Learning Algorithm for the Detection of Atrial Fibrillation from Diverse Electrocardiogram Data},
author = {Shai Aarons and D Moodley and M Nzomo},
url = {https://projects.cs.uct.ac.za/honsproj/cgi-bin/view/2022/aarons_fisher_rosenthal.zip/deliverables/finalpapershai.pdf},
year = {2022},
date = {2022-03-01},
urldate = {2022-03-01},
institution = {Technical Report, University of Cape Town, Cape Town, 2022. URL: https~…},
keywords = {},
pubstate = {published},
tppubtype = {techreport}
}
Everett, Lloyd; Morris, Emily; Meyer, Thomas
Explanation for KLM-Style Defeasible Reasoning Proceedings Article
In: Jembere, Edgar; Gerber, Aurona; Viriri, Serestina; Pillay, Anban (Ed.): Artificial Intelligence Research. SACAIR 2021., pp. 192-207, Springer, Cham, 2022.
Abstract | Links | BibTeX | Tags:
@inproceedings{Everett2022b,
title = {Explanation for KLM-Style Defeasible Reasoning},
author = {Lloyd Everett and Emily Morris and Thomas Meyer},
editor = {Edgar Jembere and Aurona Gerber and Serestina Viriri and Anban Pillay},
doi = {10.1007/978-3-030-95070-5_13},
year = {2022},
date = {2022-01-29},
urldate = {2022-01-29},
booktitle = {Artificial Intelligence Research. SACAIR 2021.},
volume = {1551},
pages = {192-207},
publisher = {Springer, Cham},
series = {Communications in Computer and Information Science},
abstract = {Explanation services are a crucial aspect of symbolic reasoning systems but they have not been explored in detail for defeasible formalisms such as KLM. We evaluate prior work on the topic with a focus on KLM propositional logic and find that a form of defeasible explanation initially described for Rational Closure which we term weak justification can be adapted to Relevant and Lexicographic Closure as well as described in terms of intuitive properties derived from the KLM postulates. We also consider how a more general definition of defeasible explanation known as strong explanation applies to KLM and propose an algorithm that enumerates these justifications for Rational Closure.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Baker, Clayton; Meyer, Tommie
Belief Change in Human Reasoning: An Empirical Investigation on MTurk Conference
Proceedings of the 2nd Southern African Conference for Artificial Intelligence Research (SACAIR), Online, 2022.
Abstract | Links | BibTeX | Tags:
@conference{Baker2022b,
title = {Belief Change in Human Reasoning: An Empirical Investigation on MTurk},
author = {Clayton Baker and Tommie Meyer},
url = {https://2021.sacair.org.za/proceedings/},
year = {2022},
date = {2022-01-01},
urldate = {2022-01-01},
booktitle = {Proceedings of the 2nd Southern African Conference for Artificial Intelligence Research (SACAIR)},
journal = {Second Southern African Conference for AI Research (SACAIR 2022)},
pages = {218-234},
address = {Online},
abstract = {Belief revision and belief update are approaches to represent and reason with knowledge in artificial intelligence. Previous empirical studies have shown that human reasoning is consistent with non-monotonic logic and postulates of defeasible reasoning, belief revision and belief update. We extended previous work, which tested natural language translations of the postulates of defeasible reasoning, belief revision and belief update with human reasoners via surveys, in three respects. Firstly, we only tested postulates of belief revision and belief update, taking the position that belief change aligns more with human reasoning than non-monotonic defeasible reasoning. Secondly, we decomposed the postulates of revision and update into material implication statements of the form “If x is the case, then y is the case”, each containing a premise
and a conclusion, and then translated the premises and conclusions into natural language. Thirdly, we asked human participants to judge each component of the postulate for plausibility. In our analysis, we measured the strength of the association between the premises and the conclusion of each postulate. We used Possibility theory to determine whether the postulates hold with our participants in general. Our results showed that our participants’ reasoning is consistent with postulates of belief
revision and belief update when judging the premises and conclusion of the postulate separately.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
and a conclusion, and then translated the premises and conclusions into natural language. Thirdly, we asked human participants to judge each component of the postulate for plausibility. In our analysis, we measured the strength of the association between the premises and the conclusion of each postulate. We used Possibility theory to determine whether the postulates hold with our participants in general. Our results showed that our participants’ reasoning is consistent with postulates of belief
revision and belief update when judging the premises and conclusion of the postulate separately.
Heyninck, Jesse; Kern-Isberner, Gabriele; Meyer, Thomas Andreas
Lexicographic Entailment, Syntax Splitting and the Drowning Problem Proceedings Article
In: Raedt, Luc De (Ed.): Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, IJCAI 2022, Vienna, Austria, 23-29 July 2022, pp. 2662–2668, ijcai.org, 2022.
@inproceedings{DBLP:conf/ijcai/HeyninckKM22,
title = {Lexicographic Entailment, Syntax Splitting and the Drowning Problem},
author = {Jesse Heyninck and Gabriele Kern-Isberner and Thomas Andreas Meyer},
editor = {Luc De Raedt},
url = {https://doi.org/10.24963/ijcai.2022/369},
doi = {10.24963/IJCAI.2022/369},
year = {2022},
date = {2022-01-01},
booktitle = {Proceedings of the Thirty-First International Joint Conference on
Artificial Intelligence, IJCAI 2022, Vienna, Austria, 23-29 July
2022},
pages = {2662–2668},
publisher = {ijcai.org},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Heyninck, Jesse; Kern-Isberner, Gabriele; Meyer, Thomas Andreas
Conditional Syntax Splitting, Lexicographic Entailment and the Drowning Effect Proceedings Article
In: Arieli, Ofer; Casini, Giovanni; Giordano, Laura (Ed.): Proceedings of the 20th International Workshop on Non-Monotonic Reasoning, NMR 2022, Part of the Federated Logic Conference (FLoC 2022), Haifa, Israel, August 7-9, 2022, pp. 61–69, CEUR-WS.org, 2022.
@inproceedings{DBLP:conf/nmr/HeyninckKM22,
title = {Conditional Syntax Splitting, Lexicographic Entailment and the Drowning
Effect},
author = {Jesse Heyninck and Gabriele Kern-Isberner and Thomas Andreas Meyer},
editor = {Ofer Arieli and Giovanni Casini and Laura Giordano},
url = {https://ceur-ws.org/Vol-3197/paper6.pdf},
year = {2022},
date = {2022-01-01},
booktitle = {Proceedings of the 20th International Workshop on Non-Monotonic Reasoning,
NMR 2022, Part of the Federated Logic Conference (FLoC 2022), Haifa,
Israel, August 7-9, 2022},
volume = {3197},
pages = {61–69},
publisher = {CEUR-WS.org},
series = {CEUR Workshop Proceedings},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Baker, Clayton K.; Meyer, Thomas Andreas
Asking Human Reasoners to Judge Postulates of Belief Change for Plausibility Proceedings Article
In: Arieli, Ofer; Casini, Giovanni; Giordano, Laura (Ed.): Proceedings of the 20th International Workshop on Non-Monotonic Reasoning, NMR 2022, Part of the Federated Logic Conference (FLoC 2022), Haifa, Israel, August 7-9, 2022, pp. 139–142, CEUR-WS.org, 2022.
@inproceedings{DBLP:conf/nmr/BakerM22,
title = {Asking Human Reasoners to Judge Postulates of Belief Change for Plausibility},
author = {Clayton K. Baker and Thomas Andreas Meyer},
editor = {Ofer Arieli and Giovanni Casini and Laura Giordano},
url = {https://ceur-ws.org/Vol-3197/short1.pdf},
year = {2022},
date = {2022-01-01},
booktitle = {Proceedings of the 20th International Workshop on Non-Monotonic Reasoning,
NMR 2022, Part of the Federated Logic Conference (FLoC 2022), Haifa,
Israel, August 7-9, 2022},
volume = {3197},
pages = {139–142},
publisher = {CEUR-WS.org},
series = {CEUR Workshop Proceedings},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Casini, Giovanni; Meyer, Thomas Andreas; Varzinczak, Ivan
Situated Conditionals - A Brief Introduction Proceedings Article
In: Arieli, Ofer; Casini, Giovanni; Giordano, Laura (Ed.): Proceedings of the 20th International Workshop on Non-Monotonic Reasoning, NMR 2022, Part of the Federated Logic Conference (FLoC 2022), Haifa, Israel, August 7-9, 2022, pp. 151–154, CEUR-WS.org, 2022.
@inproceedings{DBLP:conf/nmr/CasiniMV22,
title = {Situated Conditionals - A Brief Introduction},
author = {Giovanni Casini and Thomas Andreas Meyer and Ivan Varzinczak},
editor = {Ofer Arieli and Giovanni Casini and Laura Giordano},
url = {https://ceur-ws.org/Vol-3197/short4.pdf},
year = {2022},
date = {2022-01-01},
booktitle = {Proceedings of the 20th International Workshop on Non-Monotonic Reasoning,
NMR 2022, Part of the Federated Logic Conference (FLoC 2022), Haifa,
Israel, August 7-9, 2022},
volume = {3197},
pages = {151–154},
publisher = {CEUR-WS.org},
series = {CEUR Workshop Proceedings},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Casini, Giovanni; Meyer, Thomas; Paterson-Jones, Guy; Varzinczak, Ivan
KLM-Style Defeasibility for Restricted First-Order Logic Proceedings Article
In: Governatori, Guido; Turhan, Anni-Yasmin (Ed.): Rules and Reasoning - 6th International Joint Conference on Rules and Reasoning, RuleML+RR 2022, Berlin, Germany, September 26-28, 2022, Proceedings, pp. 81–94, Springer, 2022.
@inproceedings{DBLP:conf/ruleml/CasiniMPV22,
title = {KLM-Style Defeasibility for Restricted First-Order Logic},
author = {Giovanni Casini and Thomas Meyer and Guy Paterson-Jones and Ivan Varzinczak},
editor = {Guido Governatori and Anni-Yasmin Turhan},
url = {https://doi.org/10.1007/978-3-031-21541-4_6},
doi = {10.1007/978-3-031-21541-4_6},
year = {2022},
date = {2022-01-01},
booktitle = {Rules and Reasoning - 6th International Joint Conference on Rules
and Reasoning, RuleML+RR 2022, Berlin, Germany, September 26-28, 2022,
Proceedings},
volume = {13752},
pages = {81–94},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Wang, Steve; Meyer, Thomas; Moodley, Deshendran
Defeasible Justification Using the KLM Framework Proceedings Article
In: Pillay, Anban W.; Jembere, Edgar; Gerber, Aurona (Ed.): Artificial Intelligence Research - Third Southern African Conference, SACAIR 2022, Stellenbosch, South Africa, December 5-9, 2022, Proceedings, pp. 187–201, Springer, 2022.
@inproceedings{DBLP:conf/sacair/Wang0M22,
title = {Defeasible Justification Using the KLM Framework},
author = {Steve Wang and Thomas Meyer and Deshendran Moodley},
editor = {Anban W. Pillay and Edgar Jembere and Aurona Gerber},
url = {https://doi.org/10.1007/978-3-031-22321-1_13},
doi = {10.1007/978-3-031-22321-1_13},
year = {2022},
date = {2022-01-01},
booktitle = {Artificial Intelligence Research - Third Southern African Conference,
SACAIR 2022, Stellenbosch, South Africa, December 5-9, 2022, Proceedings},
volume = {1734},
pages = {187–201},
publisher = {Springer},
series = {Communications in Computer and Information Science},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Pillay, Kialan; Moodley, Deshendran
Exploring Graph Neural Networks for Stock Market Prediction on the JSE Proceedings Article
In: Southern African Conference for Artificial Intelligence Research, pp. 95–110, Springer, Cham 2022.
@inproceedings{pillay2022exploring,
title = {Exploring Graph Neural Networks for Stock Market Prediction on the JSE},
author = {Kialan Pillay and Deshendran Moodley},
url = {https://link.springer.com/chapter/10.1007/978-3-030-95070-5_7},
year = {2022},
date = {2022-01-01},
urldate = {2022-01-01},
booktitle = {Southern African Conference for Artificial Intelligence Research},
pages = {95–110},
organization = {Springer, Cham},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Drake, Rachel; Moodley, Deshendran
INVEST: Ontology Driven Bayesian Networks for Investment Decision Making on the JSE Proceedings Article
In: Southern African Conference for Artificial Intelligence Research (SACAIR), pp. 252–273, https://2021.sacair.org.za/wp-content/uploads/2022/02/SACAIR21-Proceedings~… 2022.
@inproceedings{drake2022invest,
title = {INVEST: Ontology Driven Bayesian Networks for Investment Decision Making on the JSE},
author = {Rachel Drake and Deshendran Moodley},
url = {https://pubs.cs.uct.ac.za/id/eprint/1526/},
year = {2022},
date = {2022-01-01},
urldate = {2022-01-01},
booktitle = {Southern African Conference for Artificial Intelligence Research (SACAIR)},
pages = {252–273},
organization = {https://2021.sacair.org.za/wp-content/uploads/2022/02/SACAIR21-Proceedings~…},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Blem, Morgan; Cristaudo, Chesney; Moodley, Deshendran
Deep Neural Networks For Online Trend Prediction Proceedings Article
In: 2022 25th International Conference on Information Fusion (FUSION), pp. 1–8, IEEE 2022.
@inproceedings{blem2022deep,
title = {Deep Neural Networks For Online Trend Prediction},
author = {Morgan Blem and Chesney Cristaudo and Deshendran Moodley},
url = {https://ieeexplore.ieee.org/abstract/document/9841335},
year = {2022},
date = {2022-01-01},
urldate = {2022-01-01},
booktitle = {2022 25th International Conference on Information Fusion (FUSION)},
pages = {1–8},
organization = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Marynissen, Simon; Heyninck, Jesse; Bogaerts, Bart; Denecker, Marc
On Nested Justification Systems Journal Article
In: Theory and Practice of Logic Programming, vol. 22, no. 5, pp. 641–657, 2022.
@article{DBLP:journals/tplp/MarynissenHBD22,
title = {On Nested Justification Systems},
author = {Simon Marynissen and Jesse Heyninck and Bart Bogaerts and Marc Denecker},
url = {https://doi.org/10.1017/S1471068422000266},
doi = {10.1017/S1471068422000266},
year = {2022},
date = {2022-01-01},
urldate = {2022-01-01},
journal = {Theory and Practice of Logic Programming},
volume = {22},
number = {5},
pages = {641–657},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Heyninck, Jesse; Thimm, Matthias; Kern-Isberner, Gabriele; Rienstra, Tjitze; Skiba, Kenneth
Conditional Abstract Dialectical Frameworks Proceedings Article
In: Thirty-Sixth AAAI Conference on Artificial Intelligence, AAAI 2022, Thirty-Fourth Conference on Innovative Applications of Artificial Intelligence, IAAI 2022, The Twelveth Symposium on Educational Advances in Artificial Intelligence, EAAI 2022 Virtual Event, February 22 - March 1, 2022, pp. 5692–5699, AAAI Press, 2022.
@inproceedings{DBLP:conf/aaai/HeyninckTKRS22,
title = {Conditional Abstract Dialectical Frameworks},
author = {Jesse Heyninck and Matthias Thimm and Gabriele Kern-Isberner and Tjitze Rienstra and Kenneth Skiba},
url = {https://doi.org/10.1609/aaai.v36i5.20511},
doi = {10.1609/AAAI.V36I5.20511},
year = {2022},
date = {2022-01-01},
booktitle = {Thirty-Sixth AAAI Conference on Artificial Intelligence, AAAI
2022, Thirty-Fourth Conference on Innovative Applications of Artificial
Intelligence, IAAI 2022, The Twelveth Symposium on Educational Advances
in Artificial Intelligence, EAAI 2022 Virtual Event, February 22
- March 1, 2022},
pages = {5692–5699},
publisher = {AAAI Press},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Rienstra, Tjitze; Heyninck, Jesse; Kern-Isberner, Gabriele; Skiba, Kenneth; Thimm, Matthias
Explaining Argument Acceptance in ADFs Proceedings Article
In: Cyras, Kristijonas; Kampik, Timotheus; Cocarascu, Oana; Rago, Antonio (Ed.): 1st International Workshop on Argumentation for eXplainable AI co-located with 9th International Conference on Computational Models of Argument (COMMA 2022), Cardiff, Wales, September 12, 2022, CEUR-WS.org, 2022.
@inproceedings{DBLP:conf/comma/RienstraHKST22,
title = {Explaining Argument Acceptance in ADFs},
author = {Tjitze Rienstra and Jesse Heyninck and Gabriele Kern-Isberner and Kenneth Skiba and Matthias Thimm},
editor = {Kristijonas Cyras and Timotheus Kampik and Oana Cocarascu and Antonio Rago},
url = {https://ceur-ws.org/Vol-3209/1525.pdf},
year = {2022},
date = {2022-01-01},
booktitle = {1st International Workshop on Argumentation for eXplainable AI co-located
with 9th International Conference on Computational Models of Argument
(COMMA 2022), Cardiff, Wales, September 12, 2022},
volume = {3209},
publisher = {CEUR-WS.org},
series = {CEUR Workshop Proceedings},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Skiba, Kenneth; Thimm, Matthias; Rienstra, Tjitze; Heyninck, Jesse; Kern-Isberner, Gabriele
Realisability of Rankings-based Semantics Proceedings Article
In: Gaggl, Sarah Alice; Mailly, Jean-Guy; Thimm, Matthias; Wallner, Johannes Peter (Ed.): Proceedings of the Fourth International Workshop on Systems and Algorithms for Formal Argumentation co-located with the 9th International Conference on Computational Models of Argument (COMMA 2022), Cardiff, Wales, United Kingdom, September 13, 2022, pp. 73–85, CEUR-WS.org, 2022.
@inproceedings{DBLP:conf/comma/SkibaTRHK22,
title = {Realisability of Rankings-based Semantics},
author = {Kenneth Skiba and Matthias Thimm and Tjitze Rienstra and Jesse Heyninck and Gabriele Kern-Isberner},
editor = {Sarah Alice Gaggl and Jean-Guy Mailly and Matthias Thimm and Johannes Peter Wallner},
url = {https://ceur-ws.org/Vol-3236/paper6.pdf},
year = {2022},
date = {2022-01-01},
booktitle = {Proceedings of the Fourth International Workshop on Systems and Algorithms
for Formal Argumentation co-located with the 9th International Conference
on Computational Models of Argument (COMMA 2022), Cardiff, Wales,
United Kingdom, September 13, 2022},
volume = {3236},
pages = {73–85},
publisher = {CEUR-WS.org},
series = {CEUR Workshop Proceedings},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Heyninck, Jesse; Kern-Isberner, Gabriele; Rienstra, Tjitze; Skiba, Kenneth; Thimm, Matthias
Possibilistic Logic Underlies Abstract Dialectical Frameworks Proceedings Article
In: Raedt, Luc De (Ed.): Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, IJCAI 2022, Vienna, Austria, 23-29 July 2022, pp. 2655–2661, ijcai.org, 2022.
@inproceedings{DBLP:conf/ijcai/HeyninckKRST22,
title = {Possibilistic Logic Underlies Abstract Dialectical Frameworks},
author = {Jesse Heyninck and Gabriele Kern-Isberner and Tjitze Rienstra and Kenneth Skiba and Matthias Thimm},
editor = {Luc De Raedt},
url = {https://doi.org/10.24963/ijcai.2022/368},
doi = {10.24963/IJCAI.2022/368},
year = {2022},
date = {2022-01-01},
booktitle = {Proceedings of the Thirty-First International Joint Conference on
Artificial Intelligence, IJCAI 2022, Vienna, Austria, 23-29 July
2022},
pages = {2655–2661},
publisher = {ijcai.org},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Kern-Isberner, Gabriele; Heyninck, Jesse; Beierle, Christoph
Conditional Independence for Iterated Belief Revision Proceedings Article
In: Raedt, Luc De (Ed.): Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, IJCAI 2022, Vienna, Austria, 23-29 July 2022, pp. 2690–2696, ijcai.org, 2022.
@inproceedings{DBLP:conf/ijcai/Kern-IsbernerHB22,
title = {Conditional Independence for Iterated Belief Revision},
author = {Gabriele Kern-Isberner and Jesse Heyninck and Christoph Beierle},
editor = {Luc De Raedt},
url = {https://doi.org/10.24963/ijcai.2022/373},
doi = {10.24963/IJCAI.2022/373},
year = {2022},
date = {2022-01-01},
booktitle = {Proceedings of the Thirty-First International Joint Conference on
Artificial Intelligence, IJCAI 2022, Vienna, Austria, 23-29 July
2022},
pages = {2690–2696},
publisher = {ijcai.org},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Heyninck, Jesse; Meyer, Thomas; Ragni, Marco; Thimm, Matthias; Kern-Isberner, Gabriele (Ed.)
CEUR-WS.org, vol. 3251, 2022.
@proceedings{DBLP:conf/ijcai/2022cakr,
title = {Proceedings of the Workshop on Cognitive Aspects of Knowledge Representation
co-located with the 31st international join conference on artificial
intelligence (IJCAI-ECAI 2022), Vienna, Austria, July 23, 2022},
editor = {Jesse Heyninck and Thomas Meyer and Marco Ragni and Matthias Thimm and Gabriele Kern-Isberner},
url = {https://ceur-ws.org/Vol-3251},
year = {2022},
date = {2022-01-01},
volume = {3251},
publisher = {CEUR-WS.org},
series = {CEUR Workshop Proceedings},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
Bouraoui, Zied; Konieczny, Sébastien; Ma, Thanh; Schwind, Nicolas; Varzinczak, Ivan
Region-Based Merging of Open-Domain Terminological Knowledge Proceedings Article
In: Kern-Isberner, Gabriele; Lakemeyer, Gerhard; Meyer, Thomas (Ed.): Proceedings of the 19th International Conference on Principles of Knowledge Representation and Reasoning, KR 2022, Haifa, Israel, July 31 - August 5, 2022, 2022.
@inproceedings{DBLP:conf/kr/BouraouiKMSV22,
title = {Region-Based Merging of Open-Domain Terminological Knowledge},
author = {Zied Bouraoui and Sébastien Konieczny and Thanh Ma and Nicolas Schwind and Ivan Varzinczak},
editor = {Gabriele Kern-Isberner and Gerhard Lakemeyer and Thomas Meyer},
url = {https://proceedings.kr.org/2022/9/},
year = {2022},
date = {2022-01-01},
booktitle = {Proceedings of the 19th International Conference on Principles of
Knowledge Representation and Reasoning, KR 2022, Haifa, Israel,
July 31 - August 5, 2022},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Bouraoui, Zied; Konieczny, Sébastien; Ma, Thanh; Varzinczak, Ivan
Tree Edit Distance Based Ontology Merging Evaluation Framework Proceedings Article
In: Memmi, Gérard; Yang, Baijian; Kong, Linghe; Zhang, Tianwei; Qiu, Meikang (Ed.): Knowledge Science, Engineering and Management - 15th International Conference, KSEM 2022, Singapore, August 6-8, 2022, Proceedings, Part II, pp. 383–395, Springer, 2022.
@inproceedings{DBLP:conf/ksem/BouraouiKMV22,
title = {Tree Edit Distance Based Ontology Merging Evaluation Framework},
author = {Zied Bouraoui and Sébastien Konieczny and Thanh Ma and Ivan Varzinczak},
editor = {Gérard Memmi and Baijian Yang and Linghe Kong and Tianwei Zhang and Meikang Qiu},
url = {https://doi.org/10.1007/978-3-031-10986-7_31},
doi = {10.1007/978-3-031-10986-7_31},
year = {2022},
date = {2022-01-01},
booktitle = {Knowledge Science, Engineering and Management - 15th International
Conference, KSEM 2022, Singapore, August 6-8, 2022, Proceedings,
Part II},
volume = {13369},
pages = {383–395},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Varzinczak, Ivan (Ed.)
Springer, vol. 13388, 2022, ISBN: 978-3-031-11320-8.
@proceedings{DBLP:conf/foiks/2022,
title = {Foundations of Information and Knowledge Systems - 12th International
Symposium, FoIKS 2022, Helsinki, Finland, June 20-23, 2022, Proceedings},
editor = {Ivan Varzinczak},
url = {https://doi.org/10.1007/978-3-031-11321-5},
doi = {10.1007/978-3-031-11321-5},
isbn = {978-3-031-11320-8},
year = {2022},
date = {2022-01-01},
volume = {13388},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
Simkus, Mantas; Varzinczak, Ivan (Ed.)
Springer, vol. 13100, 2022, ISBN: 978-3-030-95480-2.
@proceedings{DBLP:conf/rweb/2021,
title = {Reasoning Web. Declarative Artificial Intelligence - 17th International
Summer School 2021, Leuven, Belgium, September 8-15, 2021, Tutorial
Lectures},
editor = {Mantas Simkus and Ivan Varzinczak},
url = {https://doi.org/10.1007/978-3-030-95481-9},
doi = {10.1007/978-3-030-95481-9},
isbn = {978-3-030-95480-2},
year = {2022},
date = {2022-01-01},
volume = {13100},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
Maranhão, Juliano; Casini, Giovanni; Pigozzi, Gabriella; Torre, Leendert
Normative Change: An AGM Approach Journal Article
In: Journal of Applied Logics, vol. 9, no. 4, pp. 855–920, 2022.
@article{DBLP:journals/flap/MaranhaoCPT22,
title = {Normative Change: An AGM Approach},
author = {Juliano Maranhão and Giovanni Casini and Gabriella Pigozzi and Leendert Torre},
url = {https://collegepublications.co.uk/ifcolog/?00056},
year = {2022},
date = {2022-01-01},
urldate = {2022-01-01},
journal = {Journal of Applied Logics},
volume = {9},
number = {4},
pages = {855–920},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Casini, Giovanni; Straccia, Umberto
A General Framework for Modelling Conditional Reasoning - Preliminary Report Proceedings Article
In: Kern-Isberner, Gabriele; Lakemeyer, Gerhard; Meyer, Thomas (Ed.): Proceedings of the 19th International Conference on Principles of Knowledge Representation and Reasoning, KR 2022, Haifa, Israel, July 31 - August 5, 2022, 2022.
@inproceedings{DBLP:conf/kr/CasiniS22,
title = {A General Framework for Modelling Conditional Reasoning - Preliminary
Report},
author = {Giovanni Casini and Umberto Straccia},
editor = {Gabriele Kern-Isberner and Gerhard Lakemeyer and Thomas Meyer},
url = {https://proceedings.kr.org/2022/12/},
year = {2022},
date = {2022-01-01},
booktitle = {Proceedings of the 19th International Conference on Principles of
Knowledge Representation and Reasoning, KR 2022, Haifa, Israel,
July 31 - August 5, 2022},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Straccia, Umberto; Casini, Giovanni
A Minimal Deductive System for RDFS with Negative Statements Proceedings Article
In: Kern-Isberner, Gabriele; Lakemeyer, Gerhard; Meyer, Thomas (Ed.): Proceedings of the 19th International Conference on Principles of Knowledge Representation and Reasoning, KR 2022, Haifa, Israel, July 31 - August 5, 2022, 2022.
@inproceedings{DBLP:conf/kr/StracciaC22,
title = {A Minimal Deductive System for RDFS with Negative Statements},
author = {Umberto Straccia and Giovanni Casini},
editor = {Gabriele Kern-Isberner and Gerhard Lakemeyer and Thomas Meyer},
url = {https://proceedings.kr.org/2022/35/},
year = {2022},
date = {2022-01-01},
booktitle = {Proceedings of the 19th International Conference on Principles of
Knowledge Representation and Reasoning, KR 2022, Haifa, Israel,
July 31 - August 5, 2022},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Casini, Giovanni; Straccia, Umberto
Defeasible Reasoning in RDFS Proceedings Article
In: Arieli, Ofer; Casini, Giovanni; Giordano, Laura (Ed.): Proceedings of the 20th International Workshop on Non-Monotonic Reasoning, NMR 2022, Part of the Federated Logic Conference (FLoC 2022), Haifa, Israel, August 7-9, 2022, pp. 155–158, CEUR-WS.org, 2022.
@inproceedings{DBLP:conf/nmr/CasiniS22,
title = {Defeasible Reasoning in RDFS},
author = {Giovanni Casini and Umberto Straccia},
editor = {Ofer Arieli and Giovanni Casini and Laura Giordano},
url = {https://ceur-ws.org/Vol-3197/short5.pdf},
year = {2022},
date = {2022-01-01},
booktitle = {Proceedings of the 20th International Workshop on Non-Monotonic Reasoning,
NMR 2022, Part of the Federated Logic Conference (FLoC 2022), Haifa,
Israel, August 7-9, 2022},
volume = {3197},
pages = {155–158},
publisher = {CEUR-WS.org},
series = {CEUR Workshop Proceedings},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Arieli, Ofer; Casini, Giovanni; Giordano, Laura (Ed.)
CEUR-WS.org, vol. 3197, 2022.
@proceedings{DBLP:conf/nmr/2022,
title = {Proceedings of the 20th International Workshop on Non-Monotonic Reasoning,
NMR 2022, Part of the Federated Logic Conference (FLoC 2022), Haifa,
Israel, August 7-9, 2022},
editor = {Ofer Arieli and Giovanni Casini and Laura Giordano},
url = {https://ceur-ws.org/Vol-3197},
year = {2022},
date = {2022-01-01},
volume = {3197},
publisher = {CEUR-WS.org},
series = {CEUR Workshop Proceedings},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
2021
Casini, Giovanni; Meyer, Thomas; Varzinczak, Ivan
Contextual Conditional Reasoning Conference
Proceedings of the 35th AAAI Conference on Artificial Intelligence, vol. 35, 2021.
Abstract | Links | BibTeX | Tags:
@conference{Casini2021b,
title = {Contextual Conditional Reasoning},
author = {Giovanni Casini and Thomas Meyer and Ivan Varzinczak},
doi = {10.1609/aaai.v35i7.16777},
year = {2021},
date = {2021-05-18},
urldate = {2021-05-18},
booktitle = {Proceedings of the 35th AAAI Conference on Artificial Intelligence},
volume = {35},
issue = {7},
pages = {6254-6261},
abstract = {We extend the expressivity of classical conditional reasoning by introducing context as a new parameter. The enriched conditional logic generalises the defeasible conditional setting in the style of Kraus, Lehmann, and Magidor, and allows for a refined semantics that is able to distinguish, for example, between expectations and counterfactuals. In this paper we introduce the language for the enriched logic and define an appropriate semantic framework for it. We analyse which properties generally associated with conditional reasoning are still satisfied by the new semantic framework, provide a suitable representation result, and define an entailment relation based on Lehmann and Magidor’s generally-accepted notion of Rational Closure.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Leenen, Louise; Meyer, Thomas
Artificial Intelligence and Big Data Analytics in Support of Cyber Defense Book Chapter
In: Association, Information Resources Management (Ed.): Research Anthology on Artificial Intelligence Applications in Security, Chapter 76, pp. 1738-1753, IGI Global, 2021.
Abstract | Links | BibTeX | Tags:
@inbook{Leenan2021b,
title = {Artificial Intelligence and Big Data Analytics in Support of Cyber Defense},
author = {Louise Leenen and Thomas Meyer},
editor = {Information Resources Management Association},
doi = {10.4018/978-1-7998-7705-9.ch076},
year = {2021},
date = {2021-01-01},
urldate = {2021-01-01},
booktitle = {Research Anthology on Artificial Intelligence Applications in Security},
pages = {1738-1753},
publisher = {IGI Global},
chapter = {76},
abstract = {Cybersecurity analysts rely on vast volumes of security event data to predict, identify, characterize, and deal with security threats. These analysts must understand and make sense of these huge datasets in order to discover patterns which lead to intelligent decision making and advance warnings of possible threats, and this ability requires automation. Big data analytics and artificial intelligence can improve cyber defense. Big data analytics methods are applied to large data sets that contain different data types. The purpose is to detect patterns, correlations, trends, and other useful information. Artificial intelligence provides algorithms that can reason or learn and improve their behavior, and includes semantic technologies. A large number of automated systems are currently based on syntactic rules which are generally not sophisticated enough to deal with the level of complexity in this domain. An overview of artificial intelligence and big data technologies in cyber defense is provided, and important areas for future research are identified and discussed.},
keywords = {},
pubstate = {published},
tppubtype = {inbook}
}
Britz, Katarina; Casini, Giovanni; Meyer, Thomas; Moodley, Kody; Sattler, Uli; Varzinczak, Ivan
Principles of KLM-style Defeasible Description Logics Journal Article
In: ACM Transactions on Computational Logic, vol. 22, no. 1, pp. 1-46, 2021.
Abstract | Links | BibTeX | Tags:
@article{DBLP:journals/tocl/BritzCMMSV21,
title = {Principles of KLM-style Defeasible Description Logics},
author = {Katarina Britz and Giovanni Casini and Thomas Meyer and Kody Moodley and Uli Sattler and Ivan Varzinczak},
url = {https://doi.org/10.1145/3420258},
doi = {10.1145/3420258},
year = {2021},
date = {2021-01-01},
urldate = {2021-01-01},
journal = {ACM Transactions on Computational Logic},
volume = {22},
number = {1},
pages = {1-46},
abstract = {The past 25 years have seen many attempts to introduce defeasible-reasoning capabilities into a description logic setting. Many, if not most, of these attempts are based on preferential extensions of description logics, with a significant number of these, in turn, following the so-called KLM approach to defeasible reasoning initially advocated for propositional logic by Kraus, Lehmann, and Magidor. Each of these attempts has its own aim of investigating particular constructions and variants of the (KLM-style) preferential approach. Here our aim is to provide a comprehensive study of the formal foundations of preferential defeasible reasoning for description logics in the KLM tradition.
We start by investigating a notion of defeasible subsumption in the spirit of defeasible conditionals as studied by Kraus, Lehmann, and Magidor in the propositional case. In particular, we consider a natural and intuitive semantics for defeasible subsumption, and we investigate KLM-style syntactic properties for both preferential and rational subsumption. Our contribution includes two representation results linking our semantic constructions to the set of preferential and rational properties considered. Besides showing that our semantics is appropriate, these results pave the way for more effective decision procedures for defeasible reasoning in description logics. Indeed, we also analyse the problem of non-monotonic reasoning in description logics at the level of entailment and present an algorithm for the computation of rational closure of a defeasible knowledge base. Importantly, our algorithm relies completely on classical entailment and shows that the computational complexity of reasoning over defeasible knowledge bases is no worse than that of reasoning in the underlying classical DL ALC.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
We start by investigating a notion of defeasible subsumption in the spirit of defeasible conditionals as studied by Kraus, Lehmann, and Magidor in the propositional case. In particular, we consider a natural and intuitive semantics for defeasible subsumption, and we investigate KLM-style syntactic properties for both preferential and rational subsumption. Our contribution includes two representation results linking our semantic constructions to the set of preferential and rational properties considered. Besides showing that our semantics is appropriate, these results pave the way for more effective decision procedures for defeasible reasoning in description logics. Indeed, we also analyse the problem of non-monotonic reasoning in description logics at the level of entailment and present an algorithm for the computation of rational closure of a defeasible knowledge base. Importantly, our algorithm relies completely on classical entailment and shows that the computational complexity of reasoning over defeasible knowledge bases is no worse than that of reasoning in the underlying classical DL ALC.
Botha, Leonard; Meyer, Thomas Andreas; Peñaloza, Rafael
The Probabilistic Description Logic Journal Article
In: Theory and Practice of Logic Programming, vol. 21, no. 4, pp. 404–427, 2021.
@article{DBLP:journals/tplp/BothaMP21,
title = {The Probabilistic Description Logic},
author = {Leonard Botha and Thomas Andreas Meyer and Rafael Peñaloza},
url = {https://doi.org/10.1017/S1471068420000460},
doi = {10.1017/S1471068420000460},
year = {2021},
date = {2021-01-01},
urldate = {2021-01-01},
journal = {Theory and Practice of Logic Programming},
volume = {21},
number = {4},
pages = {404–427},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Kouassi, Kouame; Moodley, Deshendran
Automated deep learning for trend prediction in time series data Proceedings Article
In: 2021 IEEE 24th International Conference on Information Fusion (FUSION), pp. 1–8, IEEE 2021.
@inproceedings{kouassi2021automated,
title = {Automated deep learning for trend prediction in time series data},
author = {Kouame Kouassi and Deshendran Moodley},
url = {https://ieeexplore.ieee.org/abstract/document/9626910},
year = {2021},
date = {2021-01-01},
urldate = {2021-01-01},
booktitle = {2021 IEEE 24th International Conference on Information Fusion (FUSION)},
pages = {1–8},
organization = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Wanyana, Tezira; Moodley, Deshendran
An agent architecture for knowledge discovery and evolution Proceedings Article
In: KI 2021: Advances in Artificial Intelligence: 44th German Conference on AI, Virtual Event, September 27–October 1, 2021, Proceedings 44, pp. 241–256, Springer International Publishing 2021.
@inproceedings{wanyana2021agent,
title = {An agent architecture for knowledge discovery and evolution},
author = {Tezira Wanyana and Deshendran Moodley},
url = {https://link.springer.com/chapter/10.1007/978-3-030-87626-5_18},
year = {2021},
date = {2021-01-01},
urldate = {2021-01-01},
booktitle = {KI 2021: Advances in Artificial Intelligence: 44th German Conference on AI, Virtual Event, September 27–October 1, 2021, Proceedings 44},
pages = {241–256},
organization = {Springer International Publishing},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Heyninck, Jesse; Kern-Isberner, Gabriele; Thimm, Matthias; Skiba, Kenneth
On the correspondence between abstract dialectical frameworks and nonmonotonic conditional logics Journal Article
In: Annals of Mathematics and Artificial Intelligence, vol. 89, no. 10-11, pp. 1075–1099, 2021.
@article{DBLP:journals/amai/HeyninckKTS21,
title = {On the correspondence between abstract dialectical frameworks and nonmonotonic conditional logics},
author = {Jesse Heyninck and Gabriele Kern-Isberner and Matthias Thimm and Kenneth Skiba},
url = {https://doi.org/10.1007/s10472-021-09758-y},
doi = {10.1007/S10472-021-09758-Y},
year = {2021},
date = {2021-01-01},
urldate = {2021-01-01},
journal = {Annals of Mathematics and Artificial Intelligence},
volume = {89},
number = {10-11},
pages = {1075–1099},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Heyninck, Jesse; Straßer, Christian
Rationality and maximal consistent sets for a fragment of ASPIC+ without undercut Journal Article
In: Argument & Computation, vol. 12, no. 1, pp. 3–47, 2021.
@article{DBLP:journals/argcom/HeyninckS21,
title = {Rationality and maximal consistent sets for a fragment of ASPIC+ without undercut},
author = {Jesse Heyninck and Christian Straßer},
url = {https://doi.org/10.3233/AAC-200903},
doi = {10.3233/AAC-200903},
year = {2021},
date = {2021-01-01},
urldate = {2021-01-01},
journal = {Argument & Computation},
volume = {12},
number = {1},
pages = {3–47},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
