{'fraction_non_alphanumeric': 0.019151846785225718, 'fraction_numerical': 0.0, 'mean_word_length': 5.151260504201681, '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}}
Microslip as a Simulated Artificial Mind

A microslip is a type of action hesitation we experience in everyday life, which highlights the gap between human action and machine action patterns. By proposing a simple computational model for microslips, we examine the microslip as an implicit parallel dynamics underneath human cognition. Here, an agent, given as a dynamical system of a simple neural architecture, takes one of two choices, whose neural net is evolved using a genetic algorithm. An evolved agent often shows a hierarchy of action primitives and intentionality, and the agent is sensitive to the subtle differences of the object's layout, which results in a complex basin structures in the action-selection landscape.