{'fraction_non_alphanumeric': 0.028530670470756064, 'fraction_numerical': 0.017118402282453638, 'mean_word_length': 5.5607476635514015, '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}}
PatternDiviner: A Pattern Recognition Tool

Overview of Original Software Activity is central to thought and cognition. Through interaction autonomous agents build working representations of the environment they inhabit (Trajkovski 2007). TamTam is a software demo based on interactionist principles (Bickhard 1980) based on unsupervised learning (Buisson 2006). This applet was developed to recognize and anticipate rhythmic patterns entered via a computer keyboard. TamTam always starts with a basic set of rhythms (e.g., four full-notes), and then uses a sophisticated algorithm for generating more and more complicated child patterns, based on the previously recognized patterns input by the user.