Вариант модели сегрегации Шелинга, когда анализируется сходство костюмом. Общие правила работы с моделью - переменные плотности и сходства со мной - если рядом со мной больше допустимого не таких как я, то ухожу в другое место. Use whenClick and WhenSpace for testing В модель добавлены процедуры сбора данных, когда agent_data() получает на входе агента и возвращает списком его характеристики Это не только характеристики его самого, но и его окруженияdata:image/png;base64,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Вариант модели сегрегации Шелинга, когда анализируется сходство костюмом. Общие правила работы с моделью - переменные плотности и сходства со мной - если рядом со мной больше допустимого не таких как я, то ухожу в другое место. Use whenClick and WhenSpace for testing В модель добавлены процедуры сбора данных, когда agent_data() получает на входе агента и возвращает списком его характеристики Это не только характеристики его самого, но и его окружения

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AECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECByxcQFpoRMBzwAAAABJRU5ErkJggg==40500