{'fraction_non_alphanumeric': 0.026415094339622643, 'fraction_numerical': 0.0, 'mean_word_length': 4.835164835164835, '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}}
Texture Identification using a Computational Model of Autopoiesis

The analysis of autopoiesis as a tool for texture identification is presented in this paper, and a new computational model of autopoiesis, the T-SCL model, is proposed. This model makes use of an internal space, the A-space, as autopoietic processing domain. Computer simulations of the T-SCL model are shown and analyzed. Finally, a Texture Retrieval System based on the use of an autopoietic-agent is shown as a demonstrating example of the here proposed model.