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ORCIDBrian C. Williams
Brian Williams 0001 – Brian Charles Williams
Person information
- affiliation: Massachusetts Institute of Technology, CSAIL, Boston, MA, USA
Other persons with the same name
- Brian Williams — disambiguation page
- Brian Williams 0002
![[0000-0002-3174-4876]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-3174-4876")
— World Health Organization, Geneva, Switzerland (and 2 more) - Brian Williams 0003 — Edinburgh Napier University, School of Health and Social Care, UK (and 1 more)
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2020 – today
- 2024
[c149]Viraj Parimi, Sungkweon Hong, Brian Williams:
Task-driven Risk-bounded Hierarchical Reinforcement Learning Based on Iterative Refinement. AAAI Spring Symposia 2024: 573-575- [c148]Yuening Zhang, Paul Robertson, Tianmin Shu, Sungkweon Hong, Brian C. Williams:
Risk-Bounded Online Team Interventions via Theory of Mind. ICRA 2024: 12964-12970 - [i50]Marlyse Reeves, Brian C. Williams:
LaPlaSS: Latent Space Planning for Stochastic Systems. CoRR abs/2404.07063 (2024) - 2023
- [j43]Sungkweon Hong, Brian C. Williams:
An anytime algorithm for constrained stochastic shortest path problems with deterministic policies. Artif. Intell. 316: 103846 (2023) - [j42]Cheng Fang, Brian C. Williams:
A conflict-directed approach to chance-constrained mixed logical linear programming. Artif. Intell. 323: 103972 (2023) - [j41]Siyu Dai, Wei Xu, Andreas G. Hofmann, Brian C. Williams:
An empowerment-based solution to robotic manipulation tasks with sparse rewards. Auton. Robots 47(5): 617-633 (2023) - [j40]Ashkan Jasour, Weiqiao Han, Brian C. Williams:
Convex risk-bounded continuous-time trajectory planning and tube design in uncertain nonconvex environments. Int. J. Robotics Res. 42(10): 705-728 (2023) - [c147]Yuening Zhang, Brian C. Williams:
Adaptation and Communication in Human-Robot Teaming to Handle Discrepancies in Agents' Beliefs about Plans. ICAPS 2023: 462-471 - [c146]Weiqiao Han, Ashkan Jasour, Brian C. Williams:
Real-Time Tube-Based Non-Gaussian Risk Bounded Motion Planning for Stochastic Nonlinear Systems in Uncertain Environments via Motion Primitives. IROS 2023: 2885-2892 - [c145]Qiao Sun, Xin Huang, Brian C. Williams, Hang Zhao:
P4P: Conflict-Aware Motion Prediction for Planning in Autonomous Driving. IROS 2023: 5530-5536 - [c144]Weiqiao Han, Ashkan Jasour, Brian Williams:
Non-Gaussian Uncertainty Minimization Based Control of Stochastic Nonlinear Robotic Systems. IROS 2023: 8147-8154 - [e3]Brian Williams, Yiling Chen, Jennifer Neville:
Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2023, Thirty-Fifth Conference on Innovative Applications of Artificial Intelligence, IAAI 2023, Thirteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2023, Washington, DC, USA, February 7-14, 2023. AAAI Press 2023, ISBN 978-1-57735-880-0 [contents] - [i49]Charles Dawson, Ashkan Jasour, Andreas G. Hofmann, Brian C. Williams:
Chance-Constrained Trajectory Optimization for High-DOF Robots in Uncertain Environments. CoRR abs/2302.00122 (2023) - [i48]Weiqiao Han, Ashkan Jasour, Brian C. Williams:
Non-Gaussian Uncertainty Minimization Based Control of Stochastic Nonlinear Robotic Systems. CoRR abs/2303.01628 (2023) - [i47]Weiqiao Han, Ashkan Jasour, Brian C. Williams:
Real-Time Tube-Based Non-Gaussian Risk Bounded Motion Planning for Stochastic Nonlinear Systems in Uncertain Environments via Motion Primitives. CoRR abs/2303.01631 (2023) - [i46]Ashkan Jasour, Weiqiao Han, Brian C. Williams:
Convex Risk Bounded Continuous-Time Trajectory Planning and Tube Design in Uncertain Nonconvex Environments. CoRR abs/2305.17291 (2023) - [i45]Yuening Zhang, Brian C. Williams:
Adaptation and Communication in Human-Robot Teaming to Handle Discrepancies in Agents' Beliefs about Plans. CoRR abs/2307.03362 (2023) - 2022
- [j39]Ashkan Jasour, Xin Huang, Allen Wang, Brian C. Williams:
Fast nonlinear risk assessment for autonomous vehicles using learned conditional probabilistic models of agent futures. Auton. Robots 46(1): 269-282 (2022) - [j38]Cheng Fang, Andrew J. Wang, Brian C. Williams:
Chance-constrained Static Schedules for Temporally Probabilistic Plans. J. Artif. Intell. Res. 75: 1323-1372 (2022) - [c143]Han Zhang, Jingkai Chen, Jiaoyang Li, Brian C. Williams, Sven Koenig:
Multi-Agent Path Finding for Precedence-Constrained Goal Sequences. AAMAS 2022: 1464-1472 - [c142]Qiao Sun, Xin Huang, Junru Gu, Brian C. Williams, Hang Zhao:
M2I: From Factored Marginal Trajectory Prediction to Interactive Prediction. CVPR 2022: 6533-6542 - [c141]Xin Huang, Guy Rosman, Igor Gilitschenski, Ashkan Jasour, Stephen G. McGill, John J. Leonard, Brian C. Williams:
HYPER: Learned Hybrid Trajectory Prediction via Factored Inference and Adaptive Sampling. ICRA 2022: 2906-2912 - [c140]Weiqiao Han, Ashkan Jasour, Brian C. Williams:
Non-Gaussian Risk Bounded Trajectory Optimization for Stochastic Nonlinear Systems in Uncertain Environments. ICRA 2022: 11044-11050 - [c139]Qiao Sun, Xin Huang, Brian C. Williams, Hang Zhao:
InterSim: Interactive Traffic Simulation via Explicit Relation Modeling. IROS 2022: 11416-11423 - [c138]Xin Huang, Guy Rosman, Ashkan Jasour, Stephen G. McGill, John J. Leonard, Brian C. Williams:
TIP: Task-Informed Motion Prediction for Intelligent Vehicles. IROS 2022: 11432-11439 - [i44]Qiao Sun, Xin Huang, Junru Gu, Brian C. Williams, Hang Zhao:
M2I: From Factored Marginal Trajectory Prediction to Interactive Prediction. CoRR abs/2202.11884 (2022) - [i43]Jingkai Chen, Jiaoyang Li, Yijiang Huang, Caelan Reed Garrett, Dawei Sun, Chuchu Fan, Andreas G. Hofmann, Caitlin Mueller, Sven Koenig, Brian C. Williams:
Cooperative Task and Motion Planning for Multi-Arm Assembly Systems. CoRR abs/2203.02475 (2022) - [i42]Weiqiao Han, Ashkan Jasour, Brian C. Williams:
Non-Gaussian Risk Bounded Trajectory Optimization for Stochastic Nonlinear Systems in Uncertain Environments. CoRR abs/2203.03038 (2022) - [i41]Sungkweon Hong, Brian C. Williams:
Hierarchical Constrained Stochastic Shortest Path Planning via Cost Budget Allocation. CoRR abs/2205.05228 (2022) - [i40]Majid Khonji, Rashid Alyassi, Wolfgang Merkt, Areg Karapetyan, Xin Huang, Sungkweon Hong, Jorge Dias, Brian C. Williams:
Multi-Agent Chance-Constrained Stochastic Shortest Path with Application to Risk-Aware Intelligent Intersection. CoRR abs/2210.01766 (2022) - [i39]Qiao Sun, Xin Huang, Brian C. Williams, Hang Zhao:
InterSim: Interactive Traffic Simulation via Explicit Relation Modeling. CoRR abs/2210.14413 (2022) - [i38]Qiao Sun, Xin Huang, Brian C. Williams, Hang Zhao:
P4P: Conflict-Aware Motion Prediction for Planning in Autonomous Driving. CoRR abs/2211.01634 (2022) - 2021
- [j37]Xin Huang, Stephen G. McGill, Jonathan A. DeCastro, Luke Fletcher, John J. Leonard, Brian C. Williams, Guy Rosman:
CARPAL: Confidence-Aware Intent Recognition for Parallel Autonomy. IEEE Robotics Autom. Lett. 6(3): 4433-4440 (2021) - [j36]Siyu Dai, Andreas G. Hofmann, Brian C. Williams:
Fast-Reactive Probabilistic Motion Planning for High-Dimensional Robots. SN Comput. Sci. 2(6): 484 (2021) - [c137]Jingkai Chen, Jiaoyang Li, Chuchu Fan, Brian C. Williams:
Scalable and Safe Multi-Agent Motion Planning with Nonlinear Dynamics and Bounded Disturbances. AAAI 2021: 11237-11245 - [c136]Yuening Zhang, Brian C. Williams:
Privacy-Preserving Algorithm for Decoupling of Multi-Agent Plans with Uncertainty. ICAPS 2021: 426-434 - [c135]Ashkan Jasour, Weiqiao Han, Brian C. Williams:
Real-Time Risk-Bounded Tube-Based Trajectory Safety Verification. CDC 2021: 4307-4313 - [c134]Jingkai Chen, Brian C. Williams, Chuchu Fan:
Optimal mixed discrete-continuous planning for linear hybrid systems. HSCC 2021: 8:1-8:12 - [c133]Sungkweon Hong, Sang Uk Lee, Xin Huang, Majid Khonji, Rashid Alyassi, Brian C. Williams:
An Anytime Algorithm for Chance Constrained Stochastic Shortest Path Problems and Its Application to Aircraft Routing. ICRA 2021: 475-481 - [c132]Xin Huang, Meng Feng, Ashkan Jasour, Guy Rosman, Brian C. Williams:
Risk Conditioned Neural Motion Planning. IROS 2021: 9057-9063 - [c131]Siyu Dai, Wei Xu, Andreas G. Hofmann, Brian C. Williams:
An Empowerment-based Solution to Robotic Manipulation Tasks with Sparse Rewards. Robotics: Science and Systems 2021 - [c130]Ashkan Jasour, Weiqiao Han, Brian C. Williams:
Convex Risk Bounded Continuous-Time Trajectory Planning in Uncertain Nonconvex Environments. Robotics: Science and Systems 2021 - [c129]Jingkai Chen, Yuening Zhang, Cheng Fang, Brian C. Williams:
Generalized Conflict-Directed Search for Optimal Ordering Problems. SOCS 2021: 46-54 - [i37]Ashkan Jasour, Allen Wang, Brian C. Williams:
Moment-Based Exact Uncertainty Propagation Through Nonlinear Stochastic Autonomous Systems. CoRR abs/2101.12490 (2021) - [i36]Jingkai Chen, Brian Charles Williams, Chuchu Fan:
Optimal Mixed Discrete-Continuous Planning for Linear Hybrid Systems. CoRR abs/2102.08261 (2021) - [i35]Jingkai Chen, Yuening Zhang, Cheng Fang, Brian C. Williams:
Generalized Conflict-directed Search for Optimal Ordering Problems. CoRR abs/2104.00060 (2021) - [i34]Ashkan Jasour, Weiqiao Han, Brian Charles Williams:
Convex Risk Bounded Continuous-Time Trajectory Planning in Uncertain Nonconvex Environments. CoRR abs/2106.05489 (2021) - [i33]Siyu Dai, Andreas G. Hofmann, Brian Williams:
Automatic Curricula via Expert Demonstrations. CoRR abs/2106.09159 (2021) - [i32]Xin Huang, Meng Feng, Ashkan Jasour, Guy Rosman, Brian Charles Williams:
Risk Conditioned Neural Motion Planning. CoRR abs/2108.01851 (2021) - [i31]Ashkan Jasour, Xin Huang, Allen Wang, Brian C. Williams:
Fast nonlinear risk assessment for autonomous vehicles using learned conditional probabilistic models of agent futures. CoRR abs/2109.09975 (2021) - [i30]Ashkan Jasour, Weiqiao Han, Brian Charles Williams:
Real-Time Risk-Bounded Tube-Based Trajectory Safety Verification. CoRR abs/2110.00233 (2021) - [i29]Xin Huang, Guy Rosman, Igor Gilitschenski, Ashkan Jasour, Stephen G. McGill, John J. Leonard, Brian C. Williams:
HYPER: Learned Hybrid Trajectory Prediction via Factored Inference and Adaptive Sampling. CoRR abs/2110.02344 (2021) - [i28]Xin Huang, Guy Rosman, Ashkan Jasour, Stephen G. McGill, John J. Leonard, Brian C. Williams:
TIP: Task-Informed Motion Prediction for Intelligent Systems. CoRR abs/2110.08750 (2021) - 2020
- [j35]Eric Timmons, Brian Charles Williams:
Best-First Enumeration Based on Bounding Conflicts, and its Application to Large-scale Hybrid Estimation. J. Artif. Intell. Res. 67: 1-34 (2020) - [j34]Xin Huang, Stephen G. McGill, Jonathan A. DeCastro, Luke Fletcher, John J. Leonard, Brian C. Williams, Guy Rosman:
DiversityGAN: Diversity-Aware Vehicle Motion Prediction via Latent Semantic Sampling. IEEE Robotics Autom. Lett. 5(4): 5089-5096 (2020) - [j33]Allen Wang, Ashkan Jasour, Brian C. Williams:
Non-Gaussian Chance-Constrained Trajectory Planning for Autonomous Vehicles Under Agent Uncertainty. IEEE Robotics Autom. Lett. 5(4): 6041-6048 (2020) - [c128]Eric Timmons, Brian C. Williams:
Best-first Enumeration Based on Bounding Conflicts, and its Application to Large-scale Hybrid Estimation (Extended Abstract). IJCAI 2020: 5130-5134 - [c127]Charles Dawson, Ashkan Jasour, Andreas G. Hofmann, Brian Charles Williams:
Provably Safe Trajectory Optimization in the Presence of Uncertain Convex Obstacles. IROS 2020: 6237-6244 - [c126]Sang Uk Lee, Sungkweon Hong, Andreas G. Hofmann, Brian Williams:
QSRNet: Estimating Qualitative Spatial Representations from RGB-D Images. IROS 2020: 8057-8064 - [c125]Allen Wang, Xin Huang, Ashkan Jasour, Brian Charles Williams:
Fast Risk Assessment for Autonomous Vehicles Using Learned Models of Agent Futures. Robotics: Science and Systems 2020 - [i27]Allen Wang, Ashkan Jasour, Brian C. Williams:
Non-Gaussian Chance-Constrained Trajectory Planning for Autonomous Vehicles in the Presence of Uncertain Agents. CoRR abs/2002.10999 (2020) - [i26]Charles Dawson, Andreas G. Hofmann, Brian C. Williams:
Fast Certification of Collision Probability Bounds with Uncertain Convex Obstacles. CoRR abs/2003.07792 (2020) - [i25]Charles Dawson, Ashkan Jasour, Andreas G. Hofmann, Brian C. Williams:
Provably Safe Trajectory Optimization in the Presence of Uncertain Convex Obstacles. CoRR abs/2003.07811 (2020) - [i24]Xin Huang, Stephen G. McGill, Jonathan A. DeCastro, Brian C. Williams, Luke Fletcher, John J. Leonard, Guy Rosman:
CARPAL: Confidence-Aware Intent Recognition for Parallel Autonomy. CoRR abs/2003.08003 (2020) - [i23]Allen Wang, Ashkan Jasour, Brian C. Williams:
Moment State Dynamical Systems for Nonlinear Chance-Constrained Motion Planning. CoRR abs/2003.10379 (2020) - [i22]Allen Wang, Xin Huang, Ashkan Jasour, Brian C. Williams:
Fast Risk Assessment for Autonomous Vehicles Using Learned Models of Agent Futures. CoRR abs/2005.13458 (2020) - [i21]Richard G. Freedman, Steven J. Levine, Brian C. Williams, Shlomo Zilberstein:
Helpfulness as a Key Metric of Human-Robot Collaboration. CoRR abs/2010.04914 (2020) - [i20]Siyu Dai, Wei Xu, Andreas G. Hofmann, Brian Charles Williams:
An Empowerment-based Solution to Robotic Manipulation Tasks with Sparse Rewards. CoRR abs/2010.07986 (2020) - [i19]Siyu Dai, Andreas G. Hofmann, Brian C. Williams:
Fast-reactive probabilistic motion planning for high-dimensional robots. CoRR abs/2012.02118 (2020) - [i18]Jingkai Chen, Jiaoyang Li, Chuchu Fan, Brian Charles Williams:
Scalable and Safe Multi-Agent Motion Planning with Nonlinear Dynamics and Bounded Disturbances. CoRR abs/2012.09052 (2020)
2010 – 2019
- 2019
- [j32]Nikhil Bhargava, Brian C. Williams:
Complexity bounds for the controllability of temporal networks with conditions, disjunctions, and uncertainty. Artif. Intell. 271: 1-17 (2019) - [j31]Márcio da Silva Arantes, Claudio Fabiano Motta Toledo, Brian Charles Williams, Masahiro Ono:
Collision-Free Encoding for Chance-Constrained Nonconvex Path Planning. IEEE Trans. Robotics 35(2): 433-448 (2019) - [c124]Jingkai Chen, Cheng Fang, David Wang, Andrew J. Wang, Brian C. Williams:
Efficiently Exploring Ordering Problems through Conflict-Directed Search. ICAPS 2019: 97-105 - [c123]Xin Huang, Sungkweon Hong, Andreas G. Hofmann, Brian C. Williams:
Online Risk-Bounded Motion Planning for Autonomous Vehicles in Dynamic Environments. ICAPS 2019: 214-222 - [c122]Nikhil Bhargava, Brian C. Williams:
Multiagent Disjunctive Temporal Networks. AAMAS 2019: 458-466 - [c121]Ashkan M. Jasour, Brian C. Williams:
Sequential Chance Optimization For Flow-Tube Based Control Of Probabilistic Nonlinear Systems. CDC 2019: 5392-5399 - [c120]Matthew Orton, Siyu Dai, Shawn Schaffert, Andreas G. Hofmann, Brian C. Williams:
Improving Incremental Planning Performance through Overlapping Replanning and Execution. ICRA 2019: 2426-2432 - [c119]Siyu Dai, Shawn Schaffert, Ashkan Jasour, Andreas G. Hofmann, Brian Charles Williams:
Chance Constrained Motion Planning for High-Dimensional Robots. ICRA 2019: 8805-8811 - [c118]Xin Huang, Stephen G. McGill, Brian C. Williams, Luke Fletcher, Guy Rosman:
Uncertainty-Aware Driver Trajectory Prediction at Urban Intersections. ICRA 2019: 9718-9724 - [c117]Nikhil Bhargava, Brian C. Williams:
Faster Dynamic Controllability Checking in Temporal Networks with Integer Bounds. IJCAI 2019: 5509-5515 - [c116]Majid Khonji, Ashkan Jasour, Brian C. Williams:
Approximability of Constant-horizon Constrained POMDP. IJCAI 2019: 5583-5590 - [c115]Nikhil Bhargava, Brian C. Williams:
Complexity Bounds for the Controllability of Temporal Networks with Conditions, Disjunctions, and Uncertainty (Extended Abstract). IJCAI 2019: 6353-6357 - [c114]Sang Uk Lee, Andreas G. Hofmann, Brian C. Williams:
A Model-Based Human Activity Recognition for Human-Robot Collaboration. IROS 2019: 736-743 - [c113]Ashkan M. Jasour, Brian C. Williams:
Risk Contours Map for Risk Bounded Motion Planning under Perception Uncertainties. Robotics: Science and Systems 2019 - [i17]Nikhil Bhargava, Brian C. Williams:
Complexity Bounds for the Controllability of Temporal Networks with Conditions, Disjunctions, and Uncertainty. CoRR abs/1901.02307 (2019) - [i16]Xin Huang, Stephen G. McGill, Brian C. Williams, Luke Fletcher, Guy Rosman:
Uncertainty-Aware Driver Trajectory Prediction at Urban Intersections. CoRR abs/1901.05105 (2019) - [i15]Xin Huang, Sungkweon Hong, Andreas G. Hofmann, Brian C. Williams:
Online Risk-Bounded Motion Planning for Autonomous Vehicles in Dynamic Environments. CoRR abs/1904.02341 (2019) - [i14]Jingkai Chen, Cheng Fang, David Wang, Andrew J. Wang, Brian Charles Williams:
Efficiently Exploring Ordering Problems through Conflict-directed Search. CoRR abs/1904.07366 (2019) - [i13]Xin Huang, Stephen G. McGill, Jonathan A. DeCastro, Brian C. Williams, Luke Fletcher, John J. Leonard, Guy Rosman:
Diversity-Aware Vehicle Motion Prediction via Latent Semantic Sampling. CoRR abs/1911.12736 (2019) - 2018
- [j30]Enrique Fernández-González, Brian C. Williams, Erez Karpas:
ScottyActivity: Mixed Discrete-Continuous Planning with Convex Optimization. J. Artif. Intell. Res. 62: 579-664 (2018) - [j29]Steven James Levine, Brian Charles Williams:
Watching and Acting Together: Concurrent Plan Recognition and Adaptation for Human-Robot Teams. J. Artif. Intell. Res. 63: 281-359 (2018) - [c112]Jingkai Chen, Cheng Fang, Christian J. Muise, Howard E. Shrobe, Brian C. Williams, Peng Yu:
RADMAX: Risk and Deadline Aware Planning for Maximum Utility. AAAI Workshops 2018: 225-230 - [c111]Ashkan M. Jasour, Andreas G. Hofmann, Brian C. Williams:
Moment-Sum-of-Squares Approach for Fast Risk Estimation in Uncertain Environments. CDC 2018: 2445-2451 - [c110]Xin Huang, Ashkan Jasour, Matthew Deyo, Andreas G. Hofmann, Brian C. Williams:
Hybrid Risk-Aware Conditional Planning with Applications in Autonomous Vehicles. CDC 2018: 3608-3614 - [c109]Nikhil Bhargava, Christian J. Muise, Tiago Vaquero, Brian Charles Williams:
Managing Communication Costs under Temporal Uncertainty. IJCAI 2018: 84-90 - [c108]Nikhil Bhargava, Christian J. Muise, Brian Charles Williams:
Variable-Delay Controllability. IJCAI 2018: 4660-4666 - [c107]Siyu Dai, Matthew Orton, Shawn Schaffert, Andreas G. Hofmann, Brian C. Williams:
Improving Trajectory Optimization Using a Roadmap Framework. IROS 2018: 8674-8681 - [i12]Benjamin J. Ayton, Brian C. Williams:
Vulcan: A Monte Carlo Algorithm for Large Chance Constrained MDPs with Risk Bounding Functions. CoRR abs/1809.01220 (2018) - [i11]Ashkan Jasour, Andreas G. Hofmann, Brian C. Williams:
Moment-Sum-Of-Squares Approach For Fast Risk Estimation In Uncertain Environments. CoRR abs/1810.01577 (2018) - [i10]Siyu Dai, Matthew Orton, Shawn Schaffert, Andreas G. Hofmann, Brian C. Williams:
Improving Trajectory Optimization using a Roadmap Framework. CoRR abs/1811.02044 (2018) - [i9]Siyu Dai, Shawn Schaffert, Ashkan Jasour, Andreas G. Hofmann, Brian Charles Williams:
Chance Constrained Motion Planning for High-Dimensional Robots. CoRR abs/1811.03073 (2018) - [i8]Aaron Huang, Benjamin J. Ayton, Brian C. Williams:
RADMPC: A Fast Decentralized Approach for Chance-Constrained Multi-Vehicle Path-Planning. CoRR abs/1811.09914 (2018) - 2017
- [j28]Andreas G. Hofmann, Brian C. Williams:
Temporally and spatially flexible plan execution for dynamic hybrid systems. Artif. Intell. 247: 266-294 (2017) - [j27]Jesimar da Silva Arantes, Márcio da Silva Arantes, Claudio Fabiano Motta Toledo, Onofre Trindade Júnior, Brian Charles Williams:
Heuristic and Genetic Algorithm Approaches for UAV Path Planning under Critical Situation. Int. J. Artif. Intell. Tools 26(1): 1760008:1-1760008:30 (2017) - [j26]Peng Yu, Brian Charles Williams, Cheng Fang, Jing Cui, Patrik Haslum:
Resolving Over-Constrained Temporal Problems with Uncertainty through Conflict-Directed Relaxation. J. Artif. Intell. Res. 60: 425-490 (2017) - [c106]Kaito Ariu, Cheng Fang, Márcio da Silva Arantes, Cláudio Toledo, Brian Charles Williams:
Chance-Constrained Path Planning with Continuous Time Safety Guarantees. AAAI Workshops 2017 - [c105]Enrique Fernández-González, Erez Karpas, Brian Charles Williams:
Mixed Discrete-Continuous Planning with Convex Optimization. AAAI 2017: 4574-4580 - [c104]Jesimar da Silva Arantes, Márcio da Silva Arantes, Claudio Fabiano Motta Toledo, Onofre Trindade Júnior, Brian C. Williams:
An embedded system architecture based on genetic algorithms for mission and safety planning with UAV. GECCO 2017: 1049-1056 - [c103]Nikhil Bhargava, Tiago Stegun Vaquero, Brian C. Williams:
Faster Conflict Generation for Dynamic Controllability. IJCAI 2017: 4280-4286 - [c102]Felipe W. Trevizan, Sylvie Thiébaux, Pedro Henrique Santana, Brian C. Williams:
I-dual: Solving Constrained SSPs via Heuristic Search in the Dual Space. IJCAI 2017: 4954-4958 - [i7]Malik Ghallab, Nick Hawes, Daniele Magazzeni, Brian C. Williams, Andrea Orlandini:
Planning and Robotics (Dagstuhl Seminar 17031). Dagstuhl Reports 7(1): 32-73 (2017) - 2016
- [c101]Pedro Henrique de Rodrigues Quemel e Assis Santana, Sylvie Thiébaux, Brian Charles Williams:
RAO*: An Algorithm for Chance-Constrained POMDP's. AAAI 2016: 3308-3314 - [c100]Joshua Greene, Francesca Rossi, John Tasioulas, Kristen Brent Venable, Brian Charles Williams:
Embedding Ethical Principles in Collective Decision Support Systems. AAAI 2016: 4147-4151 - [c99]Pedro Henrique de Rodrigues Quemel e Assis Santana, Tiago Vaquero, Cláudio Toledo, Andrew J. Wang, Cheng Fang, Brian Charles Williams:
PARIS: A Polynomial-Time, Risk-Sensitive Scheduling Algorithm for Probabilistic Simple Temporal Networks with Uncertainty. ICAPS 2016: 267-275 - [c98]Felipe W. Trevizan, Sylvie Thiébaux, Pedro Henrique Santana, Brian Charles Williams:
Heuristic Search in Dual Space for Constrained Stochastic Shortest Path Problems. ICAPS 2016: 326-334 - [c97]Márcio da Silva Arantes, Jesimar da Silva Arantes, Claudio Fabiano Motta Toledo, Brian Charles Williams:
A Hybrid Multi-Population Genetic Algorithm for UAV Path Planning. GECCO 2016: 853-860 - [c96]Peng Yu, Jiaying Shen, Peter Z. Yeh, Brian Charles Williams:
Resolving Over-Constrained Conditional Temporal Problems Using Semantically Similar Alternatives. IJCAI 2016: 3300-3307 - [c95]Peng Yu, Jiaying Shen, Peter Z. Yeh, Brian Charles Williams:
Towards Personal Assistants that Can Help Users Plan. IVA 2016: 424-428 - [i6]Szymon Sidor, Peng Yu, Cheng Fang, Brian Charles Williams:
Time Resource Networks. CoRR abs/1602.03203 (2016) - 2015
- [c94]Pedro Henrique Santana, Spencer Lane, Eric Timmons, Brian Charles Williams, Carlos Forster:
Learning Hybrid Models with Guarded Transitions. AAAI 2015: 1847-1853 - [c93]David Wang, Brian Charles Williams:
tBurton: A Divide and Conquer Temporal Planner. AAAI 2015: 3409-3417 - [c92]Peng Yu, Cheng Fang, Brian Charles Williams:
Resolving Over-Constrained Probabilistic Temporal Problems through Chance Constraint Relaxation. AAAI 2015: 3425-3431 - [c91]Andrew J. Wang, Brian C. Williams:
Chance-Constrained Scheduling via Conflict-Directed Risk Allocation. AAAI 2015: 3620-3627 - [c90]Jing Cui, Peng Yu, Cheng Fang, Patrik Haslum, Brian Charles Williams:
Optimising Bounds in Simple Temporal Networks with Uncertainty under Dynamic Controllability Constraints. ICAPS 2015: 52-60 - [c89]Erez Karpas, David Wang, Brian Charles Williams, Patrik Haslum:
Temporal Landmarks: What Must Happen, and When. ICAPS 2015: 138-146 - [c88]Erez Karpas, Steven James Levine, Peng Yu, Brian Charles Williams:
Robust Execution of Plans for Human-Robot Teams. ICAPS 2015: 342-346 - [c87]Jesimar da Silva Arantes, Márcio da Silva Arantes, Claudio Fabiano Motta Toledo, Brian Charles Williams:
A Multi-population Genetic Algorithm for UAV Path Re-planning under Critical Situation. ICTAI 2015: 486-493 - [c86]Enrique Fernández-González, Erez Karpas, Brian Charles Williams:
Mixed Discrete-Continuous Heuristic Generative Planning Based on Flow Tubes. IJCAI 2015: 1565-1572 - [c85]Andreas G. Hofmann, Enrique Fernández-González, Justin Helbert, Scott D. Smith, Brian Charles Williams:
Reactive Integrated Motion Planning and Execution. IJCAI 2015: 1881-1887 - [c84]Pedro Henrique Santana, Brian Charles Williams:
Dynamic Execution of Temporal Plans with Sensing Actions and Bounded Risk. IJCAI 2015: 4393-4394 - 2014
- [j25]Eric Eaton, Carla P. Gomes, Brian Charles Williams:
Computational Sustainability. AI Mag. 35(2): 3-7 (2014) - [j24]Eric Eaton, Carla P. Gomes, Brian Charles Williams:
Computational Sustainability: Editorial Introduction to the Summer and Fall Issues. AI Mag. 35(3): 3-7 (2014) - [c83]Cheng Fang, Peng Yu, Brian Charles Williams:
Chance-Constrained Probabilistic Simple Temporal Problems. AAAI 2014: 2264-2270 - [c82]James G. Paterson, Eric Timmons, Brian Charles Williams:
A Scheduler for Actions with Iterated Durations. AAAI 2014: 2330-2336 - [c81]Steven James Levine, Brian Charles Williams:
Concurrent Plan Recognition and Execution for Human-Robot Teams. ICAPS 2014 - [c80]Pedro Henrique de Rodrigues Quemel e Assis Santana, Brian Charles Williams:
Chance-Constrained Consistency for Probabilistic Temporal Plan Networks. ICAPS 2014 - [c79]Peng Yu, Cheng Fang, Brian Charles Williams:
Resolving Uncontrollable Conditional Temporal Problems Using Continuous Relaxations. ICAPS 2014 - [c78]Pedro Henrique Santana, Renato Vilela Lopes, Bruno Amui, Geovany Araujo Borges, João Yoshiyuki Ishihara, Brian Charles Williams:
A new filter for hybrid systems and its applications to robust attitude estimation. CDC 2014: 759-764 - [c77]Cheng Fang, Brian Charles Williams:
General probabilistic bounds for trajectories using only mean and variance. ICRA 2014: 2501-2506 - [i5]Patrick R. Conrad, Brian Charles Williams:
Drake: An Efficient Executive for Temporal Plans with Choice. CoRR abs/1401.4606 (2014) - [i4]Masahiro Ono, Brian C. Williams, Lars Blackmore:
Probabilistic Planning for Continuous Dynamic Systems under Bounded Risk. CoRR abs/1402.0579 (2014) - 2013
- [j23]Masahiro Ono, Brian C. Williams, Lars Blackmore:
Probabilistic Planning for Continuous Dynamic Systems under Bounded Risk. J. Artif. Intell. Res. 46: 511-577 (2013) - [c76]Pedro Henrique de Rodrigues Quemel e Assis Santana, Brian Charles Williams:
Chance-Constrained Strong Controllability of Temporal Plan Networks with Uncertainty. AAAI (Late-Breaking Developments) 2013 - [c75]Masahiro Ono, Brian C. Williams, Lars Blackmore:
Paper Summary: Probabilistic Planning for Continuous Dynamic Systems under Bounded Risk. ICAPS 2013 - [c74]Masaki Yo, Masahiro Ono, Brian C. Williams, Shuichi Adachi:
Risk-limiting, market-based power dispatch and pricing. ECC 2013: 3038-3045 - [c73]Peng Yu, Brian Charles Williams:
Continuously Relaxing Over-Constrained Conditional Temporal Problems through Generalized Conflict Learning and Resolution. IJCAI 2013: 2429-2436 - 2012
- [j22]Shuonan Dong, Brian Williams:
Learning and Recognition of Hybrid Manipulation Motions in Variable Environments Using Probabilistic Flow Tubes. Int. J. Soc. Robotics 4(4): 357-368 (2012) - [c72]Pedro Henrique de Rodrigues Quemel e Assis Santana, Brian Charles Williams:
A Bucket Elimination Approach for Determining Strong Controllability of Temporal Plans with Uncontrollable Choices. AAAI 2012: 2453-2454 - [c71]Masahiro Ono, Wesley Graybill, Brian C. Williams:
Risk-sensitive plan execution for connected sustainable home. BuildSys@SenSys 2012: 45-52 - [e2]Lee McCluskey, Brian Charles Williams, José Reinaldo Silva, Blai Bonet:
Proceedings of the Twenty-Second International Conference on Automated Planning and Scheduling, ICAPS 2012, Atibaia, São Paulo, Brazil, June 25-19, 2012. AAAI 2012, ISBN 978-1-57735-562-5 [contents] - 2011
- [j21]Yi Huang, Brian C. Williams, Li Zheng:
Reactive, model-based monitoring in RFID-enabled manufacturing. Comput. Ind. 62(8-9): 811-819 (2011) - [j20]Patrick R. Conrad, Brian Charles Williams:
Drake: An Efficient Executive for Temporal Plans with Choice. J. Artif. Intell. Res. 42: 607-659 (2011) - [j19]Lars Blackmore, Masahiro Ono, Brian C. Williams:
Chance-Constrained Optimal Path Planning With Obstacles. IEEE Trans. Robotics 27(6): 1080-1094 (2011) - [c70]Hui Li, Brian Williams:
Hybrid Planning with Temporally Extended Goals for Sustainable Ocean Observing. AAAI 2011: 1365-1370 - [c69]Ashis Gopal Banerjee, Masahiro Ono, Nicholas Roy, Brian C. Williams:
Regression-based LP solver for chance-constrained finite horizon optimal control with nonconvex constraints. ACC 2011: 131-138 - [c68]Julie A. Shah, James Wiken, Brian Charles Williams, Cynthia Breazeal:
Improved human-robot team performance using chaski, a human-inspired plan execution system. HRI 2011: 29-36 - 2010
- [j18]Lars Blackmore, Masahiro Ono, Askar Bektassov, Brian C. Williams:
A Probabilistic Particle-Control Approximation of Chance-Constrained Stochastic Predictive Control. IEEE Trans. Robotics 26(3): 502-517 (2010) - [c67]Robert T. Effinger, Brian Charles Williams, Andreas G. Hofmann:
Dynamic Execution of Temporally and Spatially Flexible Reactive Programs. Bridging the Gap Between Task and Motion Planning 2010 - [c66]Julie A. Shah, Brian Charles Williams, Cynthia Breazeal:
Dynamic Execution of Temporal Plans for Temporally Fluid Human-Robot Teaming. AAAI Spring Symposium: It's All in the Timing 2010 - [c65]Masahiro Ono, Lars Blackmore, Brian C. Williams:
Chance constrained finite horizon optimal control with nonconvex constraints. ACC 2010: 1145-1152 - [c64]Masahiro Ono, Brian C. Williams:
Market-based risk allocation for multi-agent systems. AAMAS 2010: 1423-1424 - [c63]Brian C. Williams, Errin W. Fulp:
A Biologically Modeled Intrusion Detection System for Mobile Networks. BWCCA 2010: 453-458 - [c62]Masahiro Ono, Brian C. Williams:
Decentralized chance-constrained finite-horizon optimal control for multi-agent systems. CDC 2010: 138-145 - [c61]Cristina M. Wilcox, Brian C. Williams:
Runtime Verification of Stochastic, Faulty Systems. RV 2010: 452-459 - [e1]Klaus Havelund, Martin Leucker, Martin Sachenbacher, Oleg Sokolsky, Brian C. Williams:
Runtime Verification, Diagnosis, Planning and Control for Autonomous Systems, 07.11. - 12.11.2010. Dagstuhl Seminar Proceedings 10451, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, Germany 2010 [contents] - [i3]Klaus Havelund, Martin Leucker, Martin Sachenbacher, Oleg Sokolsky, Brian C. Williams:
10451 Abstracts Collection - Runtime Verification, Diagnosis, Planning and Control for Autonomous Systems. Runtime Verification, Diagnosis, Planning and Control for Autonomous Systems 2010 - [i2]Klaus Havelund, Martin Leucker, Martin Sachenbacher, Oleg Sokolsky, Brian C. Williams:
10451 Executive Summary - Runtime Verification, Diagnosis, Planning and Control for Autonomous Systems. Runtime Verification, Diagnosis, Planning and Control for Autonomous Systems 2010 - [i1]Andreas G. Hofmann, Brian Charles Williams:
Exploiting Spatial and Temporal Flexibility for Exploiting Spatial and Temporal Flexibility for Plan Execution of Hybrid, Under-actuated Systems. Cognitive Robotics 2010
2000 – 2009
- 2009
- [c60]Patrick R. Conrad, Julie A. Shah, Brian Charles Williams:
Flexible Execution of Plans with Choice. ICAPS 2009 - [c59]Robert T. Effinger, Brian Charles Williams, Gerard Kelly, Michael Sheehy:
Dynamic Controllability of Temporally-flexible Reactive Programs. ICAPS 2009 - [c58]Julie A. Shah, Patrick R. Conrad, Brian Charles Williams:
Fast Distributed Multi-agent Plan Execution with Dynamic Task Assignment and Scheduling. ICAPS 2009 - [c57]Stephanie Gil, Brian C. Williams:
Beyond local optimality: An improved approach to hybrid model learning. CDC 2009: 3938-3945 - 2008
- [j17]Lars Blackmore, Stanislav Funiak, Brian C. Williams:
A combined stochastic and greedy hybrid estimation capability for concurrent hybrid models with autonomous mode transitions. Robotics Auton. Syst. 56(2): 105-129 (2008) - [j16]Lars Blackmore, Senthooran Rajamanoharan, Brian C. Williams:
Active Estimation for Jump Markov Linear Systems. IEEE Trans. Autom. Control. 53(10): 2223-2236 (2008) - [c56]Masahiro Ono, Brian C. Williams:
An Efficient Motion Planning Algorithm for Stochastic Dynamic Systems with Constraints on Probability of Failure. AAAI 2008: 1376-1382 - [c55]Hui X. Li, Brian C. Williams:
Generative Planning for Hybrid Systems Based on Flow Tubes. ICAPS 2008: 206-213 - [c54]Julie A. Shah, Brian Charles Williams:
Fast Dynamic Scheduling of Disjunctive Temporal Constraint Networks through Incremental Compilation. ICAPS 2008: 322-329 - [c53]Masahiro Ono, Brian C. Williams:
Iterative Risk Allocation: A new approach to robust Model Predictive Control with a joint chance constraint. CDC 2008: 3427-3432 - 2007
- [j15]Brian C. Williams, Robert J. Ragno:
Conflict-directed A* and its role in model-based embedded systems. Discret. Appl. Math. 155(12): 1562-1595 (2007) - [c52]Andreas G. Hofmann, Brian Charles Williams:
Intent Recognition for Human-Robot Interaction. AAAI Spring Symposium: Interaction Challenges for Intelligent Assistants 2007: 60-61 - [c51]Lars Blackmore, Brian C. Williams:
Optimal, Robust Predictive Control of Nonlinear Systems under Probabilistic Uncertainty using Particles. ACC 2007: 1759-1761 - [c50]Julie A. Shah, John Stedl, Brian Charles Williams, Paul Robertson:
A Fast Incremental Algorithm for Maintaining Dispatchability of Partially Controllable Plans. ICAPS 2007: 296-303 - [c49]Lars Blackmore, Stephanie Gil, Seung Chung, Brian C. Williams:
Model learning for switching linear systems with autonomous mode transitions. CDC 2007: 4648-4655 - [c48]Lars Blackmore, Askar Bektassov, Masahiro Ono, Brian C. Williams:
Robust, Optimal Predictive Control of Jump Markov Linear Systems Using Particles. HSCC 2007: 104-117 - [c47]Andreas G. Hofmann, Brian Charles Williams:
Intent Recognition for Human-Robot Interaction. Interaction Challenges for Intelligent Assistants 2007: 60-61 - [c46]Barrett Mitchell, Andreas G. Hofmann, Brian Charles Williams:
Search-based Foot Placement for Quadrupedal Traversal of Challenging Terrain. ICRA 2007: 1461-1466 - 2006
- [j14]Paul Robertson, Brian Charles Williams:
Automatic recovery from software failure. Commun. ACM 49(3): 41-47 (2006) - [c45]Robert T. Effinger, Brian Charles Williams:
Extending Dynamic Backtracking to Solve Weighted Conditional CSPs. AAAI 2006: 28-35 - [c44]Paul Elliott, Brian C. Williams:
DNNF-based Belief State Estimation. AAAI 2006: 36-41 - [c43]Stephen A. Block, Andreas F. Wehowsky, Brian C. Williams:
Robust Execution on Contingent, Temporally Flexible Plans. AAAI 2006: 802-808 - [c42]Andreas G. Hofmann, Brian Charles Williams:
Exploiting Spatial and Temporal Flexibility for Plan Execution for Hybrid, Under-actuated Robots. AAAI 2006: 948-955 - [c41]Andreas G. Hofmann, Brian Charles Williams:
Robust Execution of Temporally Flexible Plans for Bipedal Walking Devices. ICAPS 2006: 386-389 - [c40]Lars Blackmore, Brian Williams:
Optimal manipulator path planning with obstacles using disjunctive programming. ACC 2006: 1-3 - [c39]Lars Blackmore, Hui Li, Brian Williams:
A probabilistic approach to optimal robust path planning with obstacles. ACC 2006: 1-7 - [c38]Lars Blackmore, Senthooran Rajamanoharan, Brian C. Williams:
Active Estimation for Switching Linear Dynamic Systems. CDC 2006: 137-144 - [c37]Lars Blackmore, Brian Charles Williams:
Finite Horizon Control Design for Optimal Discrimination between Several Models. CDC 2006: 1147-1152 - [c36]Martin Sachenbacher, Brian C. Williams:
Conflict-Directed A* Search for Soft Constraints. CPAIOR 2006: 182-196 - [c35]Paul Robertson, Robert T. Effinger, Brian Charles Williams:
Autonomous Robust Execution of Complex Robotic Missions. IAS 2006: 595-604 - 2005
- [c34]Thomas Léauté, Brian C. Williams:
Coordinating Agile Systems through the Model-based Execution of Temporal Plans. AAAI 2005: 114-120 - [c33]Lars Blackmore, Stanislav Funiak, Brian C. Williams:
Combining Stochastic and Greedy Search in Hybrid Estimation. AAAI 2005: 282-287 - [c32]Oliver B. Martin, Brian C. Williams, Michel D. Ingham:
Diagnosis as Approximate Belief State Enumeration for Probabilistic Concurrent Constraint Automata. AAAI 2005: 321-326 - [c31]Tsoline Mikaelian, Brian C. Williams, Martin Sachenbacher:
Model-Based Monitoring and Diagnosis of Systems with Software-Extended Behavior. AAAI 2005: 327-333 - [c30]I-Hsiang Shu, Robert T. Effinger, Brian Charles Williams:
Enabling Fast Flexible Planning through Incremental Temporal Reasoning with Conflict Extraction. ICAPS 2005: 252-261 - [c29]Lars Blackmore, Brian Williams:
Finite Horizon Control Design for Optimal Model Discrimination. CDC/ECC 2005: 3795-3802 - [c28]Hui Li, Brian Williams:
Generalized Conflict Learning for Hybrid Discrete/Linear Optimization. CP 2005: 415-429 - [c27]Martin Sachenbacher, Brian C. Williams:
Bounded Search and Symbolic Inference for Constraint Optimization. IJCAI 2005: 286-291 - 2004
- [j13]Brian C. Williams, Michel D. Ingham, Seung Chung, Paul Elliott, Michael W. Hofbaur, Gregory T. Sullivan:
Model-Based Programming of Fault-Aware Systems. AI Mag. 24(4): 61-76 (2004) - [j12]Michael W. Hofbaur, Brian C. Williams:
Hybrid estimation of complex systems. IEEE Trans. Syst. Man Cybern. Part B 34(5): 2178-2191 (2004) - [c26]Martin Sachenbacher, Brian C. Williams:
On-Demand Bound Computation for Best-First Constraint Optimization. CP 2004: 762-766 - [c25]Martin Sachenbacher, Brian C. Williams:
Diagnosis as Semiring-Based Constraint Optimization. ECAI 2004: 873-877 - 2003
- [j11]Brian C. Williams, Michel D. Ingham, Seung H. Chung, Paul H. Elliott:
Model-based programming of intelligent embedded systems and robotic space explorers. Proc. IEEE 91(1): 212-237 (2003) - 2002
- [c24]Brian C. Williams, Michel D. Ingham:
Model-Based Programming: Controlling Embedded Systems by Reasoning About Hidden State. CP 2002: 508-524 - [c23]Michael W. Hofbaur, Brian C. Williams:
Mode Estimation of Probabilistic Hybrid Systems. HSCC 2002: 253-266 - 2001
- [c22]Phil Kim, Brian C. Williams, Mark Abramson:
Executing Reactive, Model-based Programs through Graph-based Temporal Planning. IJCAI 2001: 487-493 - [c21]Brian C. Williams, Seung Chung, Vineet Gupta:
Mode Estimation of Model-based Programs: Monitoring Systems with Complex Behavior. IJCAI 2001: 579-590 - 2000
- [c20]Brian C. Williams:
Model-Based Autonomous Systems for Robotic Space Exploration. HSCC 2000: 4 - [c19]Yuri Gawdiak, Jeffrey Bradshaw, Brian Charles Williams, Hans Thomas:
R2D2 in a softball: the portable satellite assistant. IUI 2000: 125-128
1990 – 1999
- 1999
- [j10]Barney Pell, Edward B. Gamble, Erann Gat, Ron Keesing, James Kurien, William Millar, Christian Plaunt, Brian C. Williams:
A Hybrid Procedural/Deductive Executive for Autonomous Spacecraft. Auton. Agents Multi Agent Syst. 2(1): 7-22 (1999) - 1998
- [j9]Nicola Muscettola, P. Pandurang Nayak, Barney Pell, Brian C. Williams:
Remote Agent: To Boldly Go Where No AI System Has Gone Before. Artif. Intell. 103(1-2): 5-47 (1998) - [j8]P. Pandurang Nayak, Brian C. Williams:
Model-Directed Autonomous Systems. AI Mag. 19(2): 126 (1998) - [j7]Barney Pell, Douglas E. Bernard, Steve A. Chien, Erann Gat, Nicola Muscettola, P. Pandurang Nayak, Michael D. Wagner, Brian C. Williams:
An Autonomous Spacecraft Agent Prototype. Auton. Robots 5(1): 29-52 (1998) - [c18]Brian C. Williams, William Millar:
Decompositional, Model-based Learning and its Analogy to Diagnosis. AAAI/IAAI 1998: 197-204 - [c17]Barney Pell, Edward B. Gamble, Erann Gat, Ron Keesing, James Kurien, William Millar, P. Pandurang Nayak, Christian Plaunt, Brian C. Williams:
A Hybrid Procedural/Deductive Executive for Autonomous Spacecraft. Agents 1998: 369-376 - 1997
- [c16]P. Pandurang Nayak, Brian C. Williams:
Fast Context Switching in Real-Time Propositional Reasoning. AAAI/IAAI 1997: 50-56 - [c15]Barney Pell, Douglas E. Bernard, Steve A. Chien, Erann Gat, Nicola Muscettola, P. Pandurang Nayak, Michael D. Wagner, Brian C. Williams:
An Autnomous Spacecarft Agent Prototype. Agents 1997: 253-261 - [c14]Brian C. Williams, P. Pandurang Nayak:
A Reactive Planner for a Model-based Executive. IJCAI 1997: 1178-1185 - 1996
- [j6]Brian C. Williams, P. Pandurang Nayak:
Immobile Robots AI in the New Millennium. AI Mag. 17(3): 16-35 (1996) - [c13]Brian C. Williams, P. Pandurang Nayak:
A Model-Based Approach to Reactive Self-Configuring Systems. AAAI/IAAI, Vol. 2 1996: 971-978 - [c12]Brian C. Williams:
Model-Based Autonomous Systems in the New Millenium. AIPS 1996: 275-282 - 1994
- [c11]Brian C. Williams, Olivier Raiman:
Decompositional Modeling through Caricatural Reasoning. AAAI 1994: 1199-1204 - [c10]Brian C. Williams, Jonathan Cagan:
Activity Analysis: The Qualitative Analysis of Stationary Points for Optimal Reasoning. AAAI 1994: 1217-1223 - 1992
- [j5]Brian C. Williams, Olivier Raiman, Daniel G. Bobrow, Mark Shirley, Brian Falkenhainer, Johan de Kleer:
Narrow Views, Old Talks, New Beginnings. Comput. Intell. 8: 210-215 (1992) - 1991
- [j4]Brian C. Williams, Johan de Kleer:
Qualitative Reasoning about Physical Systems: A Return to Roots. Artif. Intell. 51(1-3): 1-9 (1991) - [j3]Brian C. Williams:
A Theory of Interactions: Unifying Qualitative and Quantitative Algebraic Reasoning. Artif. Intell. 51(1-3): 39-94 (1991) - [c9]Brian C. Williams:
Interaction-based Design: Constructing Novel Devices from First Principles. IntCAD 1991: 255-282 - 1990
- [c8]Brian C. Williams:
Interaction-Based Invention: Designing Novel Devices from First Principles. AAAI 1990: 349-356 - [c7]Brian C. Williams:
Interaction-based Invention: Designing Novel Devices from First Principles. Expert Systems in Engineering 1990: 119-134
1980 – 1989
- 1989
- [b1]Brian Charles Williams:
Invention from first principles via topologies of interaction. Massachusetts Institute of Technology, Cambridge, MA, USA, 1989 - [c6]Johan de Kleer, Brian C. Williams:
Diagnosis with Behavioral Modes. IJCAI 1989: 1324-1330 - 1988
- [c5]Brian C. Williams:
MINIMA: A Symbolic Approach to Qualitative Algebraic Reasoning. AAAI 1988: 264-269 - 1987
- [j2]Johan de Kleer, Brian C. Williams:
Diagnosing Multiple Faults. Artif. Intell. 32(1): 97-130 (1987) - 1986
- [c4]Brian C. Williams:
Doing Time: Putting Qualitative Reasoning on Firmer Ground. AAAI 1986: 105-112 - [c3]Johan de Kleer, Brian C. Williams:
Reasoning about Multiple Faults. AAAI 1986: 132-139 - [c2]Johan de Kleer, Brian C. Williams:
Back to Backtracking: Controlling the ATMS. AAAI 1986: 910-917 - 1984
- [j1]Brian C. Williams:
Qualitative Analysis of MOS Circuits. Artif. Intell. 24(1-3): 281-346 (1984) - [c1]Brian C. Williams:
The Use of Continuity in a Qualitative Physics. AAAI 1984: 350-354
Coauthor Index
Ashkan Jasour
aka: Ashkan M. Jasour
aka: Ashkan M. Jasour
Pedro Henrique Santana
aka: Pedro Henrique de Rodrigues Quemel e Assis Santana
aka: Pedro Henrique de Rodrigues Quemel e Assis Santana
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