{'fraction_non_alphanumeric': 0.024778761061946902, 'fraction_numerical': 0.0, 'mean_word_length': 5.0212765957446805, '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': 1, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
The MAR&A Methodology to Develop Agent Systems

In this paper we present a new agent methodology called MAR&A. Its aim is to better connect agent methodologies and agent infrastructures, since in the agent development we can find a “gap” between them. Our approach was not to build a new agent methodology from scratch, but to reuse “fragments” of existing methodologies. Besides presenting the methodology, we propose its use in a case study, to help readers understand the exploitation of this methodology and to sketch the connections with agent infrastructures.