Jacob W. Crandall

Publication Activity (10 Years)

Years Active: 2002-2023
Publications (10 Years): 28

Top Topics

Intelligent Machines

Top Venues

Publications

Xuan Cao, Alvika Gautam, Tim Whiting, Skyler Smith, Michael A. Goodrich, Jacob W. Crandall
Robot Proficiency Self-Assessment Using Assumption-Alignment Tracking. IEEE Trans. Robotics 39 (4) (2023)
Xuan Cao, Jacob W. Crandall, Ethan Pedersen, Alvika Gautam, Michael A. Goodrich
Proficiency Self-Assessment without Breaking the Robot: Anomaly Detection using Assumption-Alignment Tracking from Safe Experiments. ICRA (2023)
Xuan Cao, Jacob W. Crandall, Michael A. Goodrich
Improving Robot Proficiency Self-Assessment via Meta-Assessment. IEEE Robotics Autom. Lett. 8 (11) (2023)
Ethan Pedersen, Jacob W. Crandall
AlegAATr the Bandit. ECAI (2023)
Alvika Gautam, Tim Whiting, Xuan Cao, Michael A. Goodrich, Jacob W. Crandall
A Method for Designing Autonomous Robots that Know Their Limits. ICRA (2022)
Jacob W. Crandall
When autonomous agents model other agents: An appeal for altered judgment coupled with mouths, ears, and a little more tape. Artif. Intell. 280 (2020)
Najma Mathema, Michael A. Goodrich, Jacob W. Crandall
Predicting Plans and Actions in Two-Player Repeated Games. CoRR (2020)
Alvika Gautam, Jacob W. Crandall, Michael A. Goodrich
Self-assessment of Proficiency of Intelligent Systems: Challenges and Opportunities. AHFE (10) (2020)
Iyad Rahwan, Jacob W. Crandall, Jean-François Bonnefon
Intelligent machines as social catalysts. Proc. Natl. Acad. Sci. USA 117 (14) (2020)
Fatimah Ishowo-Oloko, Jean-François Bonnefon, Zakariyah Shoroye, Jacob W. Crandall, Iyad Rahwan, Talal Rahwan
Behavioural evidence for a transparency-efficiency tradeoff in human-machine cooperation. Nat. Mach. Intell. 1 (11) (2019)
Iyad Rahwan, Manuel Cebrián, Nick Obradovich, Josh C. Bongard, Jean-François Bonnefon, Cynthia Breazeal, Jacob W. Crandall, Nicholas A. Christakis, Iain D. Couzin, Matthew O. Jackson, Nicholas R. Jennings, Ece Kamar, Isabel M. Kloumann, Hugo Larochelle, David Lazer, Richard McElreath, Alan Mislove, David C. Parkes, Alex 'Sandy' Pentland, Margaret E. Roberts, Azim Shariff, Joshua B. Tenenbaum, Michael P. Wellman
Machine behaviour. Nat. 568 (7753) (2019)
Chace Ashcraft, Michael A. Goodrich, Jacob W. Crandall
Moderating Operator Influence in Human-Swarm Systems. SMC (2019)
Jacob W. Crandall, Huy Pham
Cooperating in Long-term Relationships with Time-Varying Structure. AAMAS (2019)
Stefano V. Albrecht, Jacob W. Crandall, Subramanian Ramamoorthy
E-HBA: Using Action Policies for Expert Advice and Agent Typification. CoRR (2019)
Stefano V. Albrecht, Jacob W. Crandall, Subramanian Ramamoorthy
An Empirical Study on the Practical Impact of Prior Beliefs over Policy Types. CoRR (2019)
Mayada Oudah, Talal Rahwan, Tawna Crandall, Jacob W. Crandall
How AI Wins Friends and Influences People in Repeated Games With Cheap Talk. AAAI (2018)
Wen Shen, Jacob W. Crandall, Ke Yan, Cristina V. Lopes
Information Design in Crowdfunding under Thresholding Policies. AAMAS (2018)
Wen Shen, Jacob W. Crandall, Ke Yan, Cristina V. Lopes
Information Design in Crowdfunding under Thresholding Policies. CoRR (2017)
Wen Shen, Alanoud Al Khemeiri, Abdulla Almehrezi, Wael Al Enezi, Iyad Rahwan, Jacob W. Crandall
Regulating Highly Automated Robot Ecologies: Insights from Three User Studies. HAI (2017)
Wen Shen, Alanoud Al Khemeiri, Abdulla Almehrezi, Wael Al Enezi, Iyad Rahwan, Jacob W. Crandall
Regulating Highly Automated Robot Ecologies: Insights from Three User Studies. CoRR (2017)
Jacob W. Crandall, Nathan Anderson, Chace Ashcraft, John R. Grosh, Jonah Henderson, Joshua McClellan, Aadesh Neupane, Michael A. Goodrich
Human-Swarm Interaction as Shared Control: Achieving Flexible Fault-Tolerant Systems. HCI (5) (2017)
Jacob W. Crandall, Mayada Oudah, Tennom Chenlinangjia, Fatimah Ishowo-Oloko, Sherief Abdallah, Jean-François Bonnefon, Manuel Cebrián, Azim Shariff, Michael A. Goodrich, Iyad Rahwan
Cooperating with Machines. CoRR (2017)
Wen Shen, Cristina V. Lopes, Jacob W. Crandall
An Online Mechanism for Ridesharing in Autonomous Mobility-on-Demand Systems. IJCAI (2016)
Wen Shen, Cristina V. Lopes, Jacob W. Crandall
An Online Mechanism for Ridesharing in Autonomous Mobility-on-Demand Systems. CoRR (2016)
Stefano V. Albrecht, Jacob W. Crandall, Subramanian Ramamoorthy
Belief and truth in hypothesised behaviours. Artif. Intell. 235 (2016)
Mayada Oudah, Vahan Babushkin, Tennom Chenlinangjia, Jacob W. Crandall
Learning to Interact with a Human Partner. HRI (2015)
Jacob W. Crandall
Robust Learning for Repeated Stochastic Games via Meta-Gaming. IJCAI (2015)
Stefano V. Albrecht, Jacob W. Crandall, Subramanian Ramamoorthy
Belief and Truth in Hypothesised Behaviours. CoRR (2015)
Jacob W. Crandall
Towards Minimizing Disappointment in Repeated Games. J. Artif. Intell. Res. 49 (2014)
Jacob W. Crandall
Non-Myopic Learning in Repeated Stochastic Games. CoRR (2014)
Vahan Babushkin, Mayada Oudah, Tennom Chenlinangjia, Ahmed Alshaer, Jacob W. Crandall
Online Learning in Repeated Human-Robot Interactions. AAAI Fall Symposia (2014)
Vimitha Manohar, Jacob W. Crandall
Programming Robots to Express Emotions: Interaction Paradigms, Communication Modalities, and Context. IEEE Trans. Hum. Mach. Syst. 44 (3) (2014)
Mohamed Elidrisi, Nicholas Johnson, Maria L. Gini, Jacob W. Crandall
Fast adaptive learning in repeated stochastic games by game abstraction. AAMAS (2014)
Fatimah Ishowo-Oloko, Jacob W. Crandall, Manuel Cebrián, Sherief Abdallah, Iyad Rahwan
Learning in Repeated Games: Human Versus Machine. CoRR (2014)
Yomna M. Hassan, Jacob W. Crandall
Genetic algorithms in repeated matrix games: the effects of algorithmic modifications and human input with various associates. IEEE IA (2013)
Waleed K. A. Najy, Jacob W. Crandall, Hatem H. Zeineldin
A Critical Assessment of Cost-Based Nash Methods for Demand Scheduling in Smart Grids. CoRR (2013)
Jacob W. Crandall
Learning in real-time in repeated games using experts. AAMAS (2013)
Jacob W. Crandall
Just add Pepper: extending learning algorithms for repeated matrix games to repeated Markov games. AAMAS (2012)
Jacob W. Crandall, Mary L. Cummings, Mauro Della Penna, Paul M. A. de Jong
Computing the Effects of Operator Attention Allocation in Human Control of Multiple Robots. IEEE Trans. Syst. Man Cybern. Part A 41 (3) (2011)
Vimitha Manohar, Shamma al Marzooqi, Jacob W. Crandall
Expressing emotions through robots: a case study using off-the-shelf programming interfaces. HRI (2011)
Jacob W. Crandall, Michael A. Goodrich
Learning to compete, coordinate, and cooperate in repeated games using reinforcement learning. Mach. Learn. 82 (3) (2011)
Jacob W. Crandall, Malek H. Altakrori, Yomna M. Hassan
Learning by demonstration in repeated stochastic games. AAMAS (2011)
Jacob W. Crandall, Asad Ahmed, Michael A. Goodrich
Learning in Repeated Games with Minimal Information: The Effects of Learning Bias. AAAI (2011)
Michael A. Goodrich, Brian Pendleton, P. B. Sujit, José Pinto, Jacob W. Crandall
Toward human interaction with bio-inspired teams. AAMAS (2011)
Jacob W. Crandall, Mary L. Cummings, Carl E. Nehme
Predictive Model for Human-Unmanned Vehicle Systems. J. Aerosp. Comput. Inf. Commun. 6 (11) (2009)
Jacob W. Crandall, Michael A. Goodrich, Lanny Lin
Encoding Intelligent Agents for Uncertain, Unknown, and Dynamic Tasks: From Programming to Interactive Artificial Learning. AAAI Spring Symposium: Agents that Learn from Human Teachers (2009)
Jacob W. Crandall, Mary L. Cummings
Identifying Predictive Metrics for Supervisory Control of Multiple Robots. IEEE Trans. Robotics 23 (5) (2007)
Jacob W. Crandall, Mary L. Cummings
Developing performance metrics for the supervisory control of multiple robots. HRI (2007)
Michael A. Goodrich, Timothy W. McLain, Jeffrey D. Anderson, Jisang Sun, Jacob W. Crandall
Managing autonomy in robot teams: observations from four experiments. HRI (2007)
Jacob W. Crandall, Michael A. Goodrich
Learning to compete, compromise, and cooperate in repeated general-sum games. ICML (2005)
Jacob W. Crandall, Michael A. Goodrich, Dan R. Olsen, Curtis W. Nielsen
Validating human-robot interaction schemes in multitasking environments. IEEE Trans. Syst. Man Cybern. Part A 35 (4) (2005)
Jacob W. Crandall, Michael A. Goodrich
Learning e-Pareto Efficient Solutions with Minimal Knowledge Requirements using Satisficing. AAAI Technical Report (2) (2004)
Jacob W. Crandall, Curtis W. Nielsen, Michael A. Goodrich
Towards predicting robot team performance. SMC (2003)
Jacob W. Crandall, Michael A. Goodrich
Characterizing efficiency of human robot interaction: a case study of shared-control teleoperation. IROS (2002)