235 citations · 338 across the 13 of their papers we have counts for
14 papers
Modeling Human Behavior in a Strategic Network Game with Complex Group Dynamics
Jonathan Skaggs, Jacob W. Crandall
Human networks greatly impact important societal outcomes, including wealth and health inequality, poverty, and bullying. As such, understanding human networks is critical to learn…
AAAI SSS-22 Symposium on Closing the Assessment Loop: Communicating Proficiency and Intent in Human-Robot Teaming
Michael Goodrich, Jacob Crandall, Aaron Steinfeld +1
The proposed symposium focuses understanding, modeling, and improving the efficacy of (a) communicating proficiency from human to robot and (b) communicating intent from a human to…
Predicting Plans and Actions in Two-Player Repeated Games
Najma Mathema, Michael A. Goodrich, Jacob W. Crandall
Artificial intelligence (AI) agents will need to interact with both other AI agents and humans. Creating models of associates help to predict the modeled agents' actions, plans, an…
E-HBA: Using Action Policies for Expert Advice and Agent Typification
Stefano V. Albrecht, Jacob W. Crandall, Subramanian Ramamoorthy
Past research has studied two approaches to utilise predefined policy sets in repeated interactions: as experts, to dictate our own actions, and as types, to characterise the behav…
An Empirical Study on the Practical Impact of Prior Beliefs over Policy Types
Stefano V. Albrecht, Jacob W. Crandall, Subramanian Ramamoorthy
Many multiagent applications require an agent to learn quickly how to interact with previously unknown other agents. To address this problem, researchers have studied learning algo…
Information Design in Crowdfunding under Thresholding Policies
Wen Shen, Jacob W. Crandall, Ke Yan +1
Crowdfunding has emerged as a prominent way for entrepreneurs to secure funding without sophisticated intermediation. In crowdfunding, an entrepreneur often has to decide how to di…
Regulating Highly Automated Robot Ecologies: Insights from Three User Studies
Wen Shen, Alanoud Al Khemeiri, Abdulla Almehrezi +3
Highly automated robot ecologies (HARE), or societies of independent autonomous robots or agents, are rapidly becoming an important part of much of the world's critical infrastruct…
Cooperating with Machines
Jacob W. Crandall, Mayada Oudah, Tennom +7
Since Alan Turing envisioned Artificial Intelligence (AI) [1], a major driving force behind technical progress has been competition with human cognition. Historical milestones have…
Dynamic Pricing in Smart Grids under Thresholding Policies: Algorithms and Heuristics
Zaid Almahmoud, Jacob Crandall, Khaled Elbassioni +2
Minimizing the peak power consumption and matching demand to supply, under fixed threshold polices, are two key requirements for the success of the future electricity market. In th…
An Online Mechanism for Ridesharing in Autonomous Mobility-on-Demand Systems
Wen Shen, Cristina V. Lopes, Jacob W. Crandall
With proper management, Autonomous Mobility-on-Demand (AMoD) systems have great potential to satisfy the transport demands of urban populations by providing safe, convenient, and a…
Belief and Truth in Hypothesised Behaviours
Stefano V. Albrecht, Jacob W. Crandall, Subramanian Ramamoorthy
There is a long history in game theory on the topic of Bayesian or "rational" learning, in which each player maintains beliefs over a set of alternative behaviours, or types, for t…
Non-myopic learning in repeated stochastic games
Jacob W. Crandall
In repeated stochastic games (RSGs), an agent must quickly adapt to the behavior of previously unknown associates, who may themselves be learning. This machine-learning problem is…
Learning in Repeated Games: Human Versus Machine
Fatimah Ishowo-Oloko, Jacob Crandall, Manuel Cebrian +2
While Artificial Intelligence has successfully outperformed humans in complex combinatorial games (such as chess and checkers), humans have retained their supremacy in social inter…
A Critical Assessment of Cost-Based Nash Methods for Demand Scheduling in Smart Grids
Waleed K. A. Najy, Jacob W. Crandall, H. H. Zeineldin
Demand-side management (DSM) is becoming an increasingly important component of the envisioned smart grid. The ability to improve the efficiency of energy use in the power system b…