{'fraction_non_alphanumeric': 0.017391304347826087, 'fraction_numerical': 0.0, 'mean_word_length': 5.5528455284552845, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Dynamic Facts in Large Team Information Sharing (Extended Abstract)

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discover an interesting, emergent phenomenon: institutional memory, where the team as a whole becomes stuck remembering outdated beliefs.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.