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1. AI-Assisted Human Teamwork

   https://doi.org/10.1609/aaai.v38i21.30408  

   Seo, Sangwon (March 2024, Proceedings of the AAAI Conference on Artificial Intelligence)

   Effective teamwork translates to fewer preventable errors and higher task performance in collaborative tasks. However, in time-critical tasks, successful teamwork becomes highly challenging to attain. In such settings, often, team members have partial observability of their surroundings, incur high cost of communication, and have trouble estimating the state and intent of their teammates. To assist a team in improving teamwork at task time, my doctoral research proposes an automated task-time team intervention system. Grounded in the notion of shared mental models, the system first detects whether the team is on the same page or not. It then generates effective interventions to improve teamwork. Additionally, by leveraging past demonstrations to learn a model of team behavior, this system minimizes the need for domain experts to specify teamwork models and rules. 

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2. Teamwork, the Cuban way

   https://doi.org/10.1126/science.367.6483.1274  

   Bierman, Paul (March 2020, Science)
3. Teaching Effective Communication for Teamwork

   https://doi.org/10.18260/1-2--48060  

   Tsenn, Joanna; Weaver-Rosen, Jonathan; Mohiuddin, Mohammad Waqar; Balawi, Shadi; Corleto, Carlos (June 2024, ASEE Conferences)
4. Teamwork in the viscous oceanic microscale

   https://doi.org/10.1073/pnas.2018193118  

   Kanso, Eva A.; Lopes, Rubens M.; Strickler, J. Rudi; Dabiri, John O.; Costello, John H. (July 2021, Proceedings of the National Academy of Sciences)

   null (Ed.)

   Nutrient acquisition is crucial for oceanic microbes, and competitive solutions to solve this challenge have evolved among a range of unicellular protists. However, solitary solutions are not the only approach found in natural populations. A diverse array of oceanic protists form temporary or even long-lasting attachments to other protists and marine aggregates. Do these planktonic consortia provide benefits to their members? Here, we use empirical and modeling approaches to evaluate whether the relationship between a large centric diatom, Coscinodiscus wailesii , and a ciliate epibiont, Pseudovorticella coscinodisci , provides nutrient flux benefits to the host diatom. We find that fluid flows generated by ciliary beating can increase nutrient flux to a diatom cell surface four to 10 times that of a still cell without ciliate epibionts. This cosmopolitan species of diatom does not form consortia in all environments but frequently joins such consortia in nutrient-depleted waters. Our results demonstrate that symbiotic consortia provide a cooperative alternative of comparable or greater magnitude to sinking for enhancement of nutrient acquisition in challenging environments. 

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5. Simple Temporal Networks for Improvisational Teamwork

   https://doi.org/10.1609/icaps.v32i1.19809  

   Morgan, Malia; Schalkwyk, Julianna; Wang, Huaxiaoyue; Davalos, Hannah; Martinez, Ryan; Rohilla, Vibha; Boerkoel, James (June 2022, Proceedings of the International Conference on Automated Planning and Scheduling)

   When communication between teammates is limited to observations of each other's actions, agents may need to improvise to stay coordinated. Unfortunately, current methods inadequately capture the uncertainty introduced by a lack of direct communication. This paper augments existing frameworks to introduce Simple Temporal Networks for Improvisational Teamwork (STN-IT)—a formulation that captures both the temporal dependencies and uncertainties between agents who need to coordinate but lack reliable communication. We define the notion of strong controllability for STN-ITs, which establishes a static scheduling strategy for controllable agents that produces a consistent team schedule, as long as non-communicative teammates act within known problem constraints. We provide both an exact and approximate approach for finding strongly controllable schedules, empirically demonstrate the trade-offs between these approaches on benchmarks of STN-ITs, and show analytically that the exact method is correct. 

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