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2020 – today
- 2023
[c53]Daniel Furelos-Blanco, Mark Law, Anders Jonsson, Krysia Broda, Alessandra Russo:
Hierarchies of Reward Machines. ICML 2023: 10494-10541- 2022
- [j20]Krysia Broda, Fariba Sadri
, Stephen Butler:
Reactive Answer Set Programming. Theory Pract. Log. Program. 22(3): 367-418 (2022) - [c52]David Tuckey, Krysia Broda, Alessandra Russo:
A Semantics For Probabilistic Answer Set Programs With Incomplete Stochastic Knowledge. ICLP Workshops 2022 - [c51]Mark Law, Krysia Broda, Alessandra Russo:
Search Space Expansion for Efficient Incremental Inductive Logic Programming from Streamed Data. IJCAI 2022: 2697-2704 - [c50]Yaniv Aspis, Krysia Broda, Jorge Lobo, Alessandra Russo:
Embed2Sym - Scalable Neuro-Symbolic Reasoning via Clustered Embeddings. KR 2022 - [i12]Daniel Furelos-Blanco, Mark Law, Anders Jonsson, Krysia Broda, Alessandra Russo:
Hierarchies of Reward Machines. CoRR abs/2205.15752 (2022) - 2021
- [j19]Daniel Furelos-Blanco, Mark Law, Anders Jonsson, Krysia Broda, Alessandra Russo:
Induction and Exploitation of Subgoal Automata for Reinforcement Learning. J. Artif. Intell. Res. 70: 1031-1116 (2021) - [c49]Mark Law, Alessandra Russo, Krysia Broda, Elisa Bertino:
Scalable Non-observational Predicate Learning in ASP. IJCAI 2021: 1936-1943 - [i11]David Tuckey, Alessandra Russo, Krysia Broda:
PASOCS: A Parallel Approximate Solver for Probabilistic Logic Programs under the Credal Semantics. CoRR abs/2105.10908 (2021) - [i10]Krysia Broda, Fariba Sadri, Stephen Butler:
Reactive Answer Set Programming. CoRR abs/2109.10633 (2021) - 2020
- [c48]Mark Law, Alessandra Russo, Elisa Bertino, Krysia Broda, Jorge Lobo:
FastLAS: Scalable Inductive Logic Programming Incorporating Domain-Specific Optimisation Criteria. AAAI 2020: 2877-2885 - [c47]Daniel Furelos-Blanco, Mark Law, Alessandra Russo, Krysia Broda, Anders Jonsson:
Induction of Subgoal Automata for Reinforcement Learning. AAAI 2020: 3890-3897 - [c46]Shuang Xia, Krysia Broda, Alessandra Russo:
Topical Neural Theorem Prover that Induces Rules. GCAI 2020: 107-120 - [c45]David Tuckey, Krysia Broda, Alessandra Russo:
Towards Structure Learning under the Credal Semantics. ICLP Workshops 2020 - [c44]Yaniv Aspis, Krysia Broda, Alessandra Russo, Jorge Lobo:
Stable and Supported Semantics in Continuous Vector Spaces. KR 2020: 59-68 - [i9]David Tuckey, Alessandra Russo, Krysia Broda:
A general framework for scientifically inspired explanations in AI. CoRR abs/2003.00749 (2020) - [i8]Mark Law, Alessandra Russo, Krysia Broda:
The ILASP system for Inductive Learning of Answer Set Programs. CoRR abs/2005.00904 (2020) - [i7]Daniel Furelos-Blanco, Mark Law, Anders Jonsson, Krysia Broda, Alessandra Russo:
Induction and Exploitation of Subgoal Automata for Reinforcement Learning. CoRR abs/2009.03855 (2020)
2010 – 2019
- 2019
- [c43]Mark Law, Alessandra Russo, Elisa Bertino, Krysia Broda, Jorge Lobo:
Representing and Learning Grammars in Answer Set Programming. AAAI 2019: 2919-2928 - [c42]Mark Law, Alessandra Russo, Krysia Broda:
Logic-Based Learning of Answer Set Programs. RW 2019: 196-231 - [i6]David Tuckey, Krysia Broda, Alessandra Russo:
Saliency Maps Generation for Automatic Text Summarization. CoRR abs/1907.05664 (2019) - [i5]Daniel Furelos-Blanco, Mark Law, Alessandra Russo, Krysia Broda, Anders Jonsson:
Induction of Subgoal Automata for Reinforcement Learning. CoRR abs/1911.13152 (2019) - 2018
- [j18]Mark Law, Alessandra Russo, Krysia Broda:
The complexity and generality of learning answer set programs. Artif. Intell. 259: 110-146 (2018) - [c41]Maximilian Doré, Krysia Broda:
The ELFE System - Verifying Mathematical Proofs of Undergraduate Students. CSEDU (2) 2018: 15-26 - [c40]Maximilian Doré, Krysia Broda:
Intuitive Reasoning in Formalized Mathematics with Elfe. CSEDU (Selected Papers) 2018: 549-571 - [c39]Yaniv Aspis, Krysia Broda, Alessandra Russo:
Tensor-Based Abduction in Horn Propositional Programs. ILP Up-and-Coming / Short Papers 2018: 68-75 - [c38]Maximilian Doré, Krysia Broda:
Towards Intuitive Reasoning in Axiomatic Geometry. ThEdu@FLoC 2018: 38-55 - [i4]Maximilian Doré, Krysia Broda:
The Elfe System - Verifying mathematical proofs of undergraduate students. CoRR abs/1801.10513 (2018) - [i3]Mark Law, Alessandra Russo, Krysia Broda:
Inductive Learning of Answer Set Programs from Noisy Examples. CoRR abs/1808.08441 (2018) - 2017
- [c37]Piotr Chabierski, Alessandra Russo, Mark Law, Krysia Broda:
Machine Comprehension of Text Using Combinatory Categorial Grammar and Answer Set Programs. COMMONSENSE 2017 - 2016
- [j17]Calin-Rares Turliuc, Luke Dickens, Alessandra Russo, Krysia Broda:
Probabilistic abductive logic programming using Dirichlet priors. Int. J. Approx. Reason. 78: 223-240 (2016) - [j16]Mark Law, Alessandra Russo, Krysia Broda:
Iterative Learning of Answer Set Programs from Context Dependent Examples. Theory Pract. Log. Program. 16(5-6): 834-848 (2016) - [c36]Stanislav Dragiev, Alessandra Russo, Krysia Broda, Mark Law, Calin-Rares Turliuc:
An Abductive-Inductive Algorithm for Probabilistic Inductive Logic Programming. ILP (Short Papers) 2016: 20-26 - [i2]Mark Law, Alessandra Russo, Krysia Broda:
Iterative Learning of Answer Set Programs from Context Dependent Examples. CoRR abs/1608.01946 (2016) - 2015
- [j15]Mark Law, Alessandra Russo, Krysia Broda:
Learning weak constraints in answer set programming. Theory Pract. Log. Program. 15(4-5): 511-525 (2015) - [c35]Calin-Rares Turliuc, Luke Dickens, Alessandra Russo, Krysia Broda:
Probabilistic Abductive Logic Programming using Dirichlet Priors. PLP@ICLP 2015: 85-98 - [c34]Graham Deane, Krysia Broda, Alessandra Russo:
Reasoning in the presence of inconsistency through Preferential ALC. LPAR (short papers) 2015: 67-80 - [c33]Duangtida Athakravi, Ken Satoh, Mark Law, Krysia Broda, Alessandra Russo:
Automated Inference of Rules with Exception from Past Legal Cases Using ASP. LPNMR 2015: 83-96 - [i1]Mark Law, Alessandra Russo, Krysia Broda:
Learning Weak Constraints in Answer Set Programming. CoRR abs/1507.06566 (2015) - 2014
- [c32]Duangtida Athakravi, Dalal Alrajeh, Krysia Broda, Alessandra Russo, Ken Satoh:
Inductive Learning Using Constraint-Driven Bias. ILP 2014: 16-32 - [c31]Mark Law, Alessandra Russo, Krysia Broda:
Inductive Learning of Answer Set Programs. JELIA 2014: 311-325 - 2013
- [c30]Duangtida Athakravi, Domenico Corapi, Krysia Broda, Alessandra Russo:
Learning Through Hypothesis Refinement Using Answer Set Programming. ILP 2013: 31-46 - [c29]Calin-Rares Turliuc, Nataly Maimari, Alessandra Russo, Krysia Broda:
On Minimality and Integrity Constraints in Probabilistic Abduction. LPAR 2013: 759-775 - 2012
- [c28]Duangtida Athakravi, Krysia Broda, Alessandra Russo:
Predicate Invention in Inductive Logic Programming. ICCSW 2012: 15-21 - [c27]Jeremiah Smith, Luke Dickens, Krysia Broda:
Balancing Public Cycle Sharing Schemes Using Independent Learners. ICMLA (1) 2012: 168-173 - 2011
- [c26]Jiefei Ma, Alessandra Russo, Krysia Broda, Emil Lupu:
Multi-agent abductive reasoning with confidentiality. AAMAS 2011: 1137-1138 - [c25]Jiefei Ma, Alessandra Russo, Krysia Broda, Emil Lupu:
Multi-agent Confidential Abductive Reasoning. ICLP (Technical Communications) 2011: 175-186 - 2010
- [j14]Hiroshi Hosobe, Ken Satoh, Jiefei Ma, Alessandra Russo, Krysia Broda:
Speculative constraint processing for hierarchical agents. AI Commun. 23(4): 373-388 (2010) - [j13]Krysia Broda, Christopher J. Hogger:
Designing Effective Policies for Minimal Agents. Comput. J. 53(8): 1184-1209 (2010) - [c24]Jiefei Ma, Alessandra Russo, Krysia Broda, Emil Lupu:
Distributed abductive reasoning with constraints. AAMAS 2010: 1381-1382 - [c23]Jiefei Ma, Krysia Broda, Randy Goebel, Hiroshi Hosobe, Alessandra Russo, Ken Satoh:
Speculative Abductive Reasoning for Hierarchical Agent Systems. CLIMA 2010: 49-64 - [c22]Jiefei Ma, Krysia Broda, Alessandra Russo, Emil Lupu:
Distributed Abductive Reasoning with Constraints. DALT 2010: 148-166 - [c21]Luke Dickens, Krysia Broda, Alessandra Russo:
The Dynamics of Multi-Agent Reinforcement Learning. ECAI 2010: 367-372 - [c20]Ekaterina Komendantskaya, Krysia Broda, Artur S. d'Avila Garcez:
Neuro-symbolic Representation of Logic Programs Defining Infinite Sets. ICANN (1) 2010: 301-304 - [c19]Mathieu Guillame-Bert, Krysia Broda, Artur S. d'Avila Garcez:
First-order logic learning in Artificial Neural Networks. IJCNN 2010: 1-8
2000 – 2009
- 2009
- [c18]Krysia Broda, Keith Clark, Rob Miller, Alessandra Russo:
SAGE: A Logical Agent-Based Environment Monitoring and Control System. AmI 2009: 112-117 - [c17]Jiefei Ma, Alessandra Russo, Krysia Broda, Emil Lupu:
Multi-agent planning with confidentiality. AAMAS (2) 2009: 1275-1276 - [c16]Jiefei Ma, Alessandra Russo, Krysia Broda, Hiroshi Hosobe, Ken Satoh:
On the Implementation of Speculative Constraint Processing. CLIMA 2009: 178-195 - [c15]Tim Kimber, Krysia Broda, Alessandra Russo:
Induction on Failure: Learning Connected Horn Theories. LPNMR 2009: 169-181 - 2008
- [j12]Jiefei Ma, Alessandra Russo, Krysia Broda, Keith Clark:
DARE: a system for distributed abductive reasoning. Auton. Agents Multi Agent Syst. 16(3): 271-297 (2008) - [j11]Krysia Broda:
Book Review. J. Log. Lang. Inf. 17(2): 229-231 (2008) - [c14]Jiefei Ma, Krysia Broda, Alessandra Russo, Keith Clark:
A Dynamic System for Distributed Reasoning. AAAI Spring Symposium: Emotion, Personality, and Social Behavior 2008: 31-36 - 2007
- [j10]Krysia Broda, Jiefei Ma, Gabrielle Sinnadurai, Alexander J. Summers:
Pandora: A Reasoning Toolbox using Natural Deduction Style. Log. J. IGPL 15(4): 293-304 (2007) - 2006
- [j9]Hiroaki Kamoda, Masaki Yamaoka, Shigeyuki Matsuda, Krysia Broda, Morris Sloman:
Access Control Policy Analysis Using Free Variable Tableaux. Inf. Media Technol. 1(2): 1155-1169 (2006) - 2005
- [j8]Krysia Broda, Christopher J. Hogger:
Determining and verifying good policies for cloned teleo-reactive agents. Comput. Syst. Sci. Eng. 20(4) (2005) - [c13]Krysia Broda, Alessandra Russo:
Compiled Labelled Deductive Systems for Access Control. We Will Show Them! (1) 2005: 309-338 - [c12]Krysia Broda, Christopher J. Hogger:
Abstract Policy Evaluation for Reactive Agents. SARA 2005: 44-59 - [c11]Hiroaki Kamoda, Akihiro Hayakawa, Masaki Yamaoka, Shigeyuki Matsuda, Krysia Broda, Morris Sloman:
Policy Conflict Analysis Using Tableaux for On Demanc VPN Framework. WOWMOM 2005: 565-569 - 2004
- [j7]Oliver Ray, Krysia Broda, Alessandra Russo:
A Hybrid Abductive Inductive Proof Procedure. Log. J. IGPL 12(5): 371-397 (2004) - [j6]Artur S. d'Avila Garcez, Luís C. Lamb, Krysia Broda, Dov M. Gabbay:
Applying connectionist modal logics to distributed knowledge representation problems. Int. J. Artif. Intell. Tools 13(1): 115-139 (2004) - [c10]Oliver Ray, Krysia Broda, Alessandra Russo:
Generalised Kernel Sets for Inverse Entailment. ICLP 2004: 165-179 - [c9]Krysia Broda, Christopher J. Hogger:
Policies for Cloned Teleo-reactive Robots. MATES 2004: 328-340 - 2003
- [c8]Artur S. d'Avila Garcez, Luís C. Lamb, Krysia Broda, Dov M. Gabbay:
Distributed Knowledge Representation in Neural-Symbolic Learning Systems: A Case Study. FLAIRS 2003: 271-275 - [c7]Oliver Ray, Krysia Broda, Alessandra Russo:
Hybrid Abductive Inductive Learning: A Generalisation of Progol. ILP 2003: 311-328 - 2002
- [b1]Artur S. d'Avila Garcez, Krysia Broda, Dov M. Gabbay:
Neural-symbolic learning systems - foundations and applications. Perspectives in neural computing, Springer 2002, ISBN 978-1-85233-512-0, pp. I-XIII, 1-271 - [j5]Krysia Broda, Dov M. Gabbay, Luís C. Lamb, Alessandra Russo:
Labelled Natural Deduction for Conditional Logics of Normality. Log. J. IGPL 10(2): 123-163 (2002) - [c6]Krysia Broda:
A Decidable CLDS for Some Propositional Resource Logics. Computational Logic: Logic Programming and Beyond 2002: 135-159 - 2001
- [j4]Artur S. d'Avila Garcez, Krysia Broda, Dov M. Gabbay:
Symbolic knowledge extraction from trained neural networks: A sound approach. Artif. Intell. 125(1-2): 155-207 (2001) - 2000
- [c5]Krysia Broda, Christopher J. Hogger, Sam Watson:
Constructing Teleo-reactive Robot Programs. ECAI 2000: 653-657
1990 – 1999
- 1999
- [j3]Krysia Broda, Marcelo Finger, Alessandra Russo:
Labelled Natural Deduction for Substructural Logics. Log. J. IGPL 7(3): 283-318 (1999) - [c4]Krysia Broda, Dov M. Gabbay:
CLDS for Propositional Intuitionistic Logic. TABLEAUX 1999: 66-81 - 1996
- [c3]Krysia Broda, Susan Eisenbach, Lloyd Daniel Kamara:
Tool support for informal deduction. ACSE 1996: 119-126 - 1995
- [j2]Krysia Broda, Marcello D'Agostino, Rajeev Goré, Rob Johnson, Steve Reeves:
Editorial. Log. J. IGPL 3(6): 826 (1995) - 1993
- [j1]Anthony Finkelstein, Jeff Kramer, Samson Abramsky, Krysia Broda, Sophia Drossopoulou, Susan Eisenbach:
An Integrated Engineering Study Scheme in Computing. Comput. J. 36(4): 320-334 (1993) - [e1]Krysia Broda:
ALPUK92, Proceedings of the 4th UK Conference on Logic Programming, London, 30 March - 1 April 1992. Workshops in Computing, Springer 1993, ISBN 3-540-19783-4 [contents] - 1992
- [c2]Elizabeth I. Hogger, Krysia Broda:
The MENTLE Approach to Learning Heuristics for the Control of Logic Programs. ML 1992: 212-217
1980 – 1989
- 1984
- [c1]Krysia Broda, Steve Gregory:
Parlog for Discrete Event Simulation. ICLP 1984: 301-312
Coauthor Index
[c53] [c52] [c51] [c50] [i12] [j19] [c49] [i11] [c48] [c47] [c46] [c45] [c44] [i9] [i8] [i7] [c43] [c42] [i6] [i5] [j18] [c39] [i3] [c37] [j17] [j16] [c36] [i2] [j15] [c35] [c34] [c33] [i1] [c32] [c31] [c30] [c29] [c28] [c26] [c25] [j14] [c24] [c23] [c22] [c21] [c18] [c17] [c16] [c15] [j12] [c14] [c13] [j7] [c10] [c7] [j5] [j3]
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