{'fraction_non_alphanumeric': 0.0068846815834767644, 'fraction_numerical': 0.0, 'mean_word_length': 4.938775510204081, '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}}
HLMIQ of Aircraft Control Software for Control Intelligence measurement

The aim of this paper is to argue why we should adopt a Human-based approach to diminish the fuzziness of intelligence concept for machines in particular for unmanned aerial vehicles UAV. The approach is involved in UAV intelligence assessment in order to increase trust in decisions made by controllers in uncertain situations. This work is a part of a proposal aiming at making explicit that human intelligence can be projected over machines as we want to reach out to the human level machine intelligence.