{'fraction_non_alphanumeric': 0.02875, 'fraction_numerical': 0.00125, 'mean_word_length': 5.114503816793893, '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 Research

Intelligent systems are systems that can perceive, create action, and learn in an autonomous fashion, i.e., without external supervisory intervention for an extended amount of time. Figure 1 depicts a generic control diagram for such systems. There is a system to be controlled, i.e., the “control system” which lives in a particular, potentially stochastic, environment. Both the control system and the environment have some form of dynamics, for instance Newtonian dynamics for a simple particle that may live in a fluid, modeled by Navier-Stokes equations. The controller is supposed to create some form of actuator commands that make the control system accomplish a desired behavior. The controller receives noisy signals from some sensors, processes these signal to