{'fraction_non_alphanumeric': 0.030816640986132512, 'fraction_numerical': 0.009244992295839754, 'mean_word_length': 5.018518518518518, '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}}
Intelligent systems and polynomial solvability of NP-complete problems

Many fundamental problems in automated theorem proving are known to be NP-Complete. In [4], we have given a polynomial algorithm for 3-SAT, one of the first NP-Complete problems. The result is unexpected and has deep consequences for the design of intelligent systems; hence, in this paper, we review our algorithmic approach for 3-SAT, and we give simplified analysis of our approach to demonstrate the polynomial bound of O(n13) operations. We also indicate the immediate and important consequences of our polynomial algorithm for 3-SAT for the design of intelligent systems.