Jacob W. Crandall
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View article: Modeling Human Behavior in a Strategic Network Game with Complex Group Dynamics
Modeling Human Behavior in a Strategic Network Game with Complex Group Dynamics Open
Human networks greatly impact important societal outcomes, including wealth and health inequality, poverty, and bullying. As such, understanding human networks is critical to learning how to promote favorable societal outcomes. As a step t…
View article: Reactive or Proactive? How Robots Should Explain Failures
Reactive or Proactive? How Robots Should Explain Failures Open
As robots tackle increasingly complex tasks, the need for explanations becomes essential for gaining trust and acceptance. Explainable robotic systems should not only elucidate failures when they occur but also predict and preemptively exp…
View article: AlegAATr the Bandit
AlegAATr the Bandit Open
One design strategy for developing intelligent agents is to create N distinct behaviors, each of which works effectively in particular tasks and circumstances. At each time step during task execution, the agent, or bandit, chooses which of…
View article: A Method for Designing Autonomous Robots that Know Their Limits
A Method for Designing Autonomous Robots that Know Their Limits Open
While the design of autonomous robots often emphasizes developing proficient robots, another important attribute of autonomous robot systems is their ability to evaluate their own proficiency and limitations. A robot should be able to asse…
View article: Metrics for Robot Proficiency Self-assessment and Communication of Proficiency in Human-robot Teams
Metrics for Robot Proficiency Self-assessment and Communication of Proficiency in Human-robot Teams Open
As development of robots with the ability to self-assess their proficiency for accomplishing tasks continues to grow, metrics are needed to evaluate the characteristics and performance of these robot systems and their interactions with hum…
View article: AAAI SSS-22 Symposium on Closing the Assessment Loop: Communicating Proficiency and Intent in Human-Robot Teaming
AAAI SSS-22 Symposium on Closing the Assessment Loop: Communicating Proficiency and Intent in Human-Robot Teaming Open
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 a robot. For example, how should a robot convey predicted …
View article: Predicting Plans and Actions in Two-Player Repeated Games
Predicting Plans and Actions in Two-Player Repeated Games Open
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, and intentions. This work introduces algorithms that predict …
View article: Intelligent machines as social catalysts
Intelligent machines as social catalysts Open
International audience
View article: A BRIEF OVERVIEW OF BURST SUPPRESSION: CAUSES AND EFFECTS ON MORTALITY IN CRITICAL ILLNESS
A BRIEF OVERVIEW OF BURST SUPPRESSION: CAUSES AND EFFECTS ON MORTALITY IN CRITICAL ILLNESS Open
This thesis examines the effects of brain inactivation (burst suppression) on mortality in mechanically ventilated ICU patients. Past research has associated burst suppression with increased mortality. However, the effects of burst suppres…
View article: When autonomous agents model other agents: An appeal for altered judgment coupled with mouths, ears, and a little more tape
When autonomous agents model other agents: An appeal for altered judgment coupled with mouths, ears, and a little more tape Open
Agent modeling has rightfully garnered much attention in the design and study of autonomous agents that interact with other agents. However, despite substantial progress to date, existing agent-modeling methods too often (a) have unrealist…
View article: E-HBA: Using Action Policies for Expert Advice and Agent Typification
E-HBA: Using Action Policies for Expert Advice and Agent Typification Open
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 behaviour of other agents. In this work, we bring these compleme…
View article: How AI Wins Friends and Influences People in Repeated Games With Cheap Talk
How AI Wins Friends and Influences People in Repeated Games With Cheap Talk Open
Research has shown that a person's financial success is more dependent on the ability to deal with people than on professional knowledge. Sage advice, such as "if you can't say something nice, don't say anything at all" and principles arti…
View article: Regulating Highly Automated Robot Ecologies
Regulating Highly Automated Robot Ecologies Open
Highly automated robot ecologies (HARE), or societies of independent\nautonomous robots or agents, are rapidly becoming an important part of much of\nthe world's critical infrastructure. As with human societies, regulation,\nwherein a gove…
View article: Information Design in Crowdfunding under Thresholding Policies
Information Design in Crowdfunding under Thresholding Policies Open
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 disclose the campaign status in order to collect as many cont…
View article: Regulating Highly Automated Robot Ecologies: Insights from Three User Studies
Regulating Highly Automated Robot Ecologies: Insights from Three User Studies Open
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 infrastructure. As with human societies, regulation, wherein a governi…
View article: Cooperating with Machines
Cooperating with Machines Open
Since Alan Turing envisioned artificial intelligence, technical progress has often been measured by the ability to defeat humans in zero-sum encounters (e.g., Chess, Poker, or Go). Less attention has been given to scenarios in which human–…
View article: Dynamic Pricing in Smart Grids under Thresholding Policies: Algorithms and Heuristics
Dynamic Pricing in Smart Grids under Thresholding Policies: Algorithms and Heuristics Open
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 this work, we consider dynamic pricing methods to minimize th…
View article: An online mechanism for ridesharing in autonomous mobility-on-demand systems
An online mechanism for ridesharing in autonomous mobility-on-demand systems Open
With proper management, Autonomous Mobility-on-Demand (AMoD) systems have great potential to satisfy the transport demand of urban populations by providing safe, convenient, and affordable ridesharing services. Meanwhile, such systems can …
View article: An Online Mechanism for Ridesharing in Autonomous Mobility-on-Demand Systems
An Online Mechanism for Ridesharing in Autonomous Mobility-on-Demand Systems Open
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 affordable ridesharing services. Meanwhile, such systems can…