Structure for Knowledge Acquisition, Use, Learning and Collaboration Inter Agents over Internet Infrastructure Domains

dc.contributor.authorBraga J.
dc.contributor.authorSilva J.N.
dc.contributor.authorEndo P.
dc.contributor.authorOmar N.
dc.description.abstract© 2019, Springer Nature Switzerland AG.This article describes an environment for knowledge acquisition, learning, use and collaboration inter agents over Internet Infrastructure. Four agent types are used in a previously applied four-tier model, 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) creation 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 test bed to validate the entire model, including the functionalities of the agents, is also proposed and characterized.
dc.relation.ispartofAdvances in Intelligent Systems and Computing
dc.rightsAcesso Restrito
dc.subject.otherlanguageAgents collaboration
dc.subject.otherlanguageArtificial intelligence
dc.subject.otherlanguageKnowledge acquisition
dc.subject.otherlanguageKnowledge use
dc.subject.otherlanguageMachine learning
dc.titleStructure for Knowledge Acquisition, Use, Learning and Collaboration Inter Agents over Internet Infrastructure Domains
dc.typeArtigo de evento
local.scopus.subjectAutonomous systems
local.scopus.subjectInternet infrastructure
local.scopus.subjectInternet routing
local.scopus.subjectKnowledge base
local.scopus.subjectKnowledge use
local.scopus.subjectOperational security
local.scopus.subjectUnstructured database