A POMDP formulation of preference elicitation problems
Eighteenth national conference on Artificial intelligence
A utility-based sensing and communication model for a glacial sensor network
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Exploiting scale invariant dynamics for efficient information propagation in large teams
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
An investigation of the vulnerabilities of scale invariant dynamics in large teams
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
Modeling situation awareness in human-like agents using mental models
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
Efficient opinion sharing in large decentralised teams
Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
Active sensing in complex multiagent environments
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
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In this paper, we extend the large team information sharing problem to consider dynamic facts, where the value of facts about the environment being observed can change over time. Dynamic facts are challenging because the team must repeatedly converge to consistent, accurate beliefs over time, without necessarily knowing if or when the fact changes values. We discover an interesting, emergent phenomenon: institutional memory, where the team as a whole becomes stuck remembering outdated beliefs. We demonstrate that controlling the trust placed in new information from neighboring agents does not adequately control belief convergence with dynamic facts, which previously was shown to benefit the team when working with static facts.