{'fraction_non_alphanumeric': 0.012471655328798186, 'fraction_numerical': 0.0, 'mean_word_length': 5.8984375, '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}}
Simulation of collective pursuit‐evasion behavior with runtime situational awareness

We present a simulation method of pursuit‐evasion behaviors between different herds with runtime situational awareness. We model the collective movement of predators and prey in the hunting process based on an improved Boid model and the finite state machine involving multiple perception factors about the situations. Taking wolves hunting caribous as an example, our method not only simulates the collective behavior, but also realizes individual intelligent behaviors consistent with the observations. We conducted intensive experiments, and the results show that our method can simulate more realistic pursuit‐evasion behavior under different testing scenarios with a variety of parameters. Our method can be easily transferred to the theoretical study of collective behaviors of other herds.