{'fraction_non_alphanumeric': 0.018361581920903956, 'fraction_numerical': 0.0, 'mean_word_length': 5.504587155963303, '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}}
Cooperative self-organization to design robust and adaptive collectives

This paper highlights the benefits of using cooperation as the engine of adaptation and robustness for multi- agent systems. Our work is based on the AMAS (Adaptive Multi-Agent System ) approach which considers co- operation as a self-organization mechanism to obtain adequate emergent global behaviors for systems coupled with complex and dynamic environments. A multi-robot resource transportation task illustrates the instanti- ation of a cooperative agent model equipped with both reactive and anticipative cooperation rules. Various experiments underline the relevance of this approach in difficult static or dynamic environments.