Browsing by Author "Amir, Ofra"
Now showing items 1-11 of 11
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AI Support of Teamwork for Coordinated Care of Children with Complex Conditions
Amir, Ofra; Grosz, Barbara J.; Gajos, Krzysztof Z; Swenson, Sonja M.; Sanders, Lee M. (AAAI Press, 2014)Children with complex health conditions require care from a large, diverse set of caregivers that includes parents and community support organizations as well as multiple types of medical professionals. Coordination of ... -
Collaborative Health Care Plan Support
Amir, Ofra; Grosz, Barbara J.; Law, Edith Lok Man; Stern, Roni (ACM, 2013)This paper envisions a multi-agent system that assists patients and their health care providers. This system would support a diverse, evolving team in formulating, monitoring and revising a shared "care plan" that operates ... -
Deploying AI Methods to Support Collaborative Writing: A Preliminary Investigation
Gehrmann, Sebastian; Urke, Lauren; Amir, Ofra; Grosz, Barbara J. (2015)Many documents (e.g., academic papers, government reports) are typically written by multiple authors. While existing tools facilitate and support such collaborative efforts (e.g., Dropbox, Google Docs), these tools lack ... -
An Empirical Evaluation of a Combinatorial Auction for Solving Multi-Agent Pathfinding Problems
Amir, Ofra; Sharon, Guni; Stern, Roni (2014) -
From Care Plans to Care Coordination: Opportunities for Computer Support of Teamwork in Complex Healthcare
Amir, Ofra; Grosz, Barbara J.; Gajos, Krzysztof Z; Swenson, Sonja M.; Sanders, Lee M. (2015)Children with complex health conditions require care from a large, diverse team of caregivers that includes multiple types of medical professionals, parents and community support organizations. Coordination of their ... -
Information Sharing for Care Coordination
Amir, Ofra; Grosz, Barbara J.; Stern, Roni; Sanders, Lee M. (IFAAMAS, 2013)Teamwork and care coordination are of increasing importance to health care delivery and patient safety and health. This paper describes our initial work on developing agents that are able to make intelligent information ... -
Interactive teaching strategies for agent training
Amir, Ofra; Kamar, Ece; Kolobov, Andrey; Grosz, Barbara J. (International Joint Conferences on Artificial Intelligence, 2016)Agents learning how to act in new environments can benefit from input from more experienced agents or humans. This paper studies interactive teaching strategies for identifying when a student can benefit from teacher-advice ... -
The more the merrier? Increasing group size may be detrimental to decision-making performance in nominal groups
Amir, Ofra; Amir, Dor; Shahar, Yuval; Hart, Yuval; Gal, Kobi (Public Library of Science (PLoS), 2018-02-27)Demonstrability—the extent to which group members can recognize a correct solution to a problem—has a significant effect on group performance. However, the interplay between group size, demonstrability and performance is ... -
Multi-Agent Pathfinding as a Combinatorial Auction
Amir, Ofra; Sharon, Guni; Stearn, Roni (AAAI, 2015)This paper proposes a mapping between multi-agent pathfinding (MAPF) and combinatorial auctions (CAs). In MAPF, agents need to reach their goal destinations without colliding. Algorithms for solving MAPF aim at assigning ... -
Mutual Influence Potential Networks: Enabling Information Sharing in Loosely-Coupled Extended-Duration Teamwork
Amir, Ofra; Grosz, Barbara J.; Gajos, Krzysztof Z (2016)Complex collaborative activities such as treating patients, co-authoring documents and developing software are often characterized by teamwork that is loosely coupled and extends in time. To remain coordinated and avoid ... -
To Share or not to Share? The Single Agent in a Team Decision Problem
Amir, Ofra; Grosz, Barbara J.; Stern, Roni (AAAI Press, 2014)This paper defines the "Single Agent in a Team Decision" (SATD) problem. SATD differs from prior multi-agent communication problems in the assumptions it makes about teammates' knowledge of each other's plans and possible ...