default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
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://dblp1.uni-trier.de/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)
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-18 20:29 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
