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ORCIDBrian Logan 0001
- > Home > Persons > Brian Logan 0001
Publications
- 2025
[c135]Maksim Gladyshev
, Natasha Alechina, Mehdi Dastani, Dragan Doder, Brian Logan:
Temporal Causal Reasoning with (Non-Recursive) Structural Equation Models. AAAI 2025: 14949-14957- [i13]Maksim Gladyshev, Natasha Alechina, Mehdi Dastani, Dragan Doder, Brian Logan:
Temporal Causal Reasoning with (Non-Recursive) Structural Equation Models. CoRR abs/2501.10190 (2025) - 2024
- [j41]Jan de Mooij, Tabea S. Sonnenschein, Marco Pellegrino, Mehdi Dastani, Dick Ettema, Brian Logan, Judith Anne Verstegen:
GenSynthPop: generating a spatially explicit synthetic population of individuals and households from aggregated data. Auton. Agents Multi Agent Syst. 38(2): 48 (2024) - [c133]Giovanni Varricchione, Natasha Alechina, Mehdi Dastani, Giuseppe De Giacomo, Brian Logan, Giuseppe Perelli:
Pure-Past Action Masking. AAAI 2024: 21646-21655 - [c132]Giovanni Varricchione, Natasha Alechina, Mehdi Dastani, Brian Logan:
Maximally Permissive Reward Machines. ECAI 2024: 1181-1188 - [d6]Jan de Mooij, Tabea S. Sonnenschein, Marco Pellegrino, Mehdi Dastani, Dick Ettema, Brian Logan, Judith Anne Verstegen:
GenSynthPop-Python: Generating a Spatially Explicit Synthetic Population of Agents and Households from Aggregated Data. Version v2.0.0. Zenodo, 2024 [all versions]
- [d5]Jan de Mooij, Tabea S. Sonnenschein, Marco Pellegrino, Mehdi Dastani, Dick Ettema, Brian Logan, Judith Anne Verstegen:
GenSynthPop-Python: Generating a Spatially Explicit Synthetic Population of Agents and Households from Aggregated Data. Version v2.0.1. Zenodo, 2024 [all versions] - [d4]Jan de Mooij, Tabea S. Sonnenschein, Marco Pellegrino, Mehdi Dastani, Dick Ettema, Brian Logan, Judith Anne Verstegen:
GenSynthPop-Python. Version placeholder. Zenodo, 2024 [all versions] - [d3]Tabea S. Sonnenschein, Jan de Mooij, Marco Pellegrino, Mehdi Dastani, Dick Ettema, Brian Logan, Judith Anne Verstegen:
TabeaSonnenschein/GenSynthPop: R-package for Generating Representative Spatially Explicit Synthetic Populations. Zenodo, 2024 - [i12]Giovanni Varricchione, Natasha Alechina, Mehdi Dastani, Brian Logan:
Maximally Permissive Reward Machines. CoRR abs/2408.08059 (2024) - 2023
- [j39]Jan de Mooij, Parantapa Bhattacharya, Davide Dell'Anna, Mehdi Dastani, Brian Logan, Samarth Swarup:
A framework for modeling human behavior in large-scale agent-based epidemic simulations. Simul. 99(12): 1183-1211 (2023) - [c129]Maksim Gladyshev, Natasha Alechina, Mehdi Dastani, Dragan Doder, Brian Logan:
Dynamic Causality. ECAI 2023: 867-874 - [c128]Giovanni Varricchione, Natasha Alechina, Mehdi Dastani, Brian Logan:
Synthesising Reward Machines for Cooperative Multi-Agent Reinforcement Learning. EUMAS 2023: 328-344 - [c126]Nima Motamed, Natasha Alechina, Mehdi Dastani, Dragan Doder, Brian Logan:
Probabilistic Temporal Logic for Reasoning about Bounded Policies. IJCAI 2023: 3296-3303 - [c125]Davide Dell'Anna, Natasha Alechina, Fabiano Dalpiaz, Mehdi Dastani, Brian Logan:
Data-Driven Revision of Conditional Norms in Multi-Agent Systems (Extended Abstract). IJCAI 2023: 6868-6872 - 2022
- [j36]Davide Dell'Anna, Natasha Alechina, Fabiano Dalpiaz, Mehdi Dastani, Brian Logan:
Data-Driven Revision of Conditional Norms in Multi-Agent Systems. J. Artif. Intell. Res. 75: 1549-1593 (2022) - [c124]Davide Dell'Anna, Natasha Alechina, Fabiano Dalpiaz, Mehdi Dastani, Maarten Löffler, Brian Logan:
The Complexity of Norm Synthesis and Revision. COINE 2022: 38-53 - 2021
- [c118]Parantapa Bhattacharya, A. Jan de Mooij, Davide Dell'Anna, Mehdi Dastani, Brian Logan, Samarth Swarup:
PanSim + Sim-2APL: A Framework for Large-Scale Distributed Simulation with Complex Agents. EMAS@AAMAS 2021: 1-21 - [c116]Jan de Mooij, Davide Dell'Anna, Parantapa Bhattacharya, Mehdi Dastani, Brian Logan, Samarth Swarup:
Using Agent-Based Simulation to Investigate Behavioural Interventions in a Pandemic using Mobility Data. AMPM@JURIX 2021 - [c115]Jan de Mooij, Davide Dell'Anna, Parantapa Bhattacharya, Mehdi Dastani, Brian Logan, Samarth Swarup:
Quantifying the Effects of Norms on COVID-19 Cases Using an Agent-Based Simulation. MABS 2021: 99-112 - [d2]Jan de Mooij, Davide Dell'Anna, Parantapa Bhattacharya, Mehdi Dastani, Brian Logan, Samarth Swarup:
Large-scale Data-driven Agent-based Simulation of Covid-19. Zenodo, 2021 - [d1]Jan de Mooij, Davide Dell'Anna, Parantapa Bhattacharya, Mehdi Dastani, Brian Logan, Samarth Swarup:
Sim-2APL - A Practical Agent Programming Language for Simulation. Zenodo, 2021 - [i9]Davide Dell'Anna, Natasha Alechina, Brian Logan, Maarten Löffler, Fabiano Dalpiaz, Mehdi Dastani:
The Complexity of Data-Driven Norm Synthesis and Revision. CoRR abs/2112.02626 (2021) - 2019
- [c106]Natasha Alechina, Mehdi Dastani, Brian Logan:
Decidable Model Checking with Uniform Strategies. AAMAS 2019: 170-178 - [c105]Vahid Yazdanpanah, Mehdi Dastani, Wojciech Jamroga, Natasha Alechina, Brian Logan:
Strategic Responsibility Under Imperfect Information. AAMAS 2019: 592-600 - 2018
- [j31]Natasha Alechina, Brian Logan, Mehdi Dastani:
Modeling Norm Specification and Verification in Multiagent Systems. FLAP 5(2): 457-490 (2018) - 2016
- [c85]Natasha Alechina, Mehdi Dastani, Brian Logan:
Verifying Existence of Resource-Bounded Coalition Uniform Strategies. IJCAI 2016: 24-30 - [i3]Natasha Alechina, Mehdi Dastani, Brian Logan:
Expressibility of norms in temporal logic. CoRR abs/1608.06787 (2016) - 2015
- [c79]Natasha Alechina, Nils Bulling, Mehdi Dastani, Brian Logan:
Practical Run-Time Norm Enforcement with Bounded Lookahead. AAMAS 2015: 443-451 - 2014
- [c74]Natasha Alechina, Mehdi Dastani, Brian Logan:
Norm approximation for imperfect monitors. AAMAS 2014: 117-124 - 2013
- [c66]Natasha Alechina, Tristan M. Behrens, Mehdi Dastani, Koen V. Hindriks, Jomi Fred Hübner, Brian Logan, Hai H. Nguyen, Marc van Zee:
Multi-Cycle Query Caching in Agent Programming. AAAI 2013: 32-38 - [c65]Daniela Dybalova, Bas Testerink, Mehdi Dastani, Brian Logan:
A Framework for Programming Norm-Aware Multi-agent Systems. COIN@AAMAS/PRIMA 2013: 364-380 - [c64]Natasha Alechina, Mehdi Dastani, Brian Logan:
Reasoning about Normative Update. IJCAI 2013: 20-26 - [p1]Natasha Alechina, Nick Bassiliades, Mehdi Dastani, Marina De Vos, Brian Logan, Sergio Mera, Andreasa Morris-Martin, Fernando Schapachnik:
Computational Models for Normative Multi-Agent Systems. Normative Multi-Agent Systems 2013: 71-92 - [e2]Mehdi Dastani, Jomi Fred Hübner, Brian Logan:
Programming Multi-Agent Systems - 10th International Workshop, ProMAS 2012, Valencia, Spain, June 5, 2012, Revised Selected Papers. Lecture Notes in Computer Science 7837, Springer 2013, ISBN 978-3-642-38699-2 [contents] - 2012
- [c61]Natasha Alechina, Mehdi Dastani, Brian Logan:
Programming norm-aware agents. AAMAS 2012: 1057-1064 - 2011
- [j19]Natasha Alechina, Mehdi Dastani, Brian Logan, John-Jules Ch. Meyer:
Reasoning about agent deliberation. Auton. Agents Multi Agent Syst. 22(2): 356-381 (2011) - [j17]Natasha Alechina, Mehdi Dastani, Brian Logan, John-Jules Ch. Meyer:
Reasoning about plan revision in BDI agent programs. Theor. Comput. Sci. 412(44): 6115-6134 (2011) - 2008
- [c43]Natasha Alechina, Brian Logan, Mehdi Dastani, John-Jules Ch. Meyer:
Reasoning about agent execution strategies. AAMAS (3) 2008: 1455-1458 - [c41]Natasha Alechina, Mehdi Dastani, Brian Logan, John-Jules Ch. Meyer:
Reasoning about Agent Deliberation. KR 2008: 16-26 - 2007
- [c37]Natasha Alechina, Mehdi Dastani, Brian Logan, John-Jules Ch. Meyer:
A Logic of Agent Programs. AAAI 2007: 795-800
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last updated on 2025-08-06 23:12 CEST by the dblp team
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