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Description: This project establishes an environment for knowledge acquisition, learning, use and collaboration inter-agents over Internet Infrastructure (SKAU). Four agent types are used in a previously applied four-tier model (A2RD), such as the use case on the Internet Routing Registry. This model, which can be implemented in each Autonomous System domain of the Internet infrastructure, is integrated into an environment with (a) capturing information from unstructured databases, (b) creating and updating training bases appropriate to machine learning algorithms and (c) creating and feeding of a knowledge base. Such resources become readily available to agents in each domain and to agents in all other domains with the aim of making them autonomous. The agents collaborate and interact with each other, through individual blockchain structures that also take care of operational security and integration aspects. In addition, a testbed to validate the entire model, including the functionalities of the agents, is also proposed and characterized. Acnowledge: This work is supported by CAPES -- Brazilian Federal Agency for Support and Evaluation of Graduate Education within the Brazil’s Ministry of Education, and is also supported by national funds through FCT with reference UID/CEC/50021/2019, and is supported by MackenziPesquisa from Universidade Presbiteriana Mackenzie..