{'fraction_non_alphanumeric': 0.025245441795231416, 'fraction_numerical': 0.0, 'mean_word_length': 5.5504587155963305, '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}}
Designing and Implementing Intelligent Agents for e-Health

Recent large-scale disasters and territorial emergencies, such as the Japan seaquake and Australian inundation, have brought to the attention the efficiency of the rescue operation. Such scenarios are unpredictable and require a prompt and coordinated reaction from the authorities. This paper presents an architectural approach for coordination and cooperation based on the Multi-Agent technology. In the following, we will show how agents are able to offer a distributed, context-aware, reactive and autonomous support. We propose a Multi-Agent framework that enables the implementation of Multi-Agent Systems (MAS) for emergency scenarios management.