{'fraction_non_alphanumeric': 0.009696969696969697, 'fraction_numerical': 0.0, 'mean_word_length': 5.715447154471545, '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}}
Multi-agent Communication Heterogeneity

Multi-agent communication represents a fundamental activity to enable efficient knowledge exchange towards the fulfillment of a shared goal. Achieve total automation of communication between intelligent agents is one of the most difficult challenges to overcome. This is a problem that occurs when multiple highly heterogeneous agents participate in virtual environments such as Internet. This paper offers an analysis of the components involved in communication and how their characteristics generate heterogeneity. The aim of this study is to provide an analysis tool to describe and quantify the characteristics of heterogeneity during communication between agents. A formal model for the measurement of heterogeneity and an example in which these measurements apply are described.