Knowledge Request-Broker Architecture: A Platform for Social Computational Intelligence

Computational systems and intelligent machines are facing with both compositional and environmental growing forms of complexity. We contribute a way to better deal with these forms of complexity by proposing a novel agent-based software platform: Knowledge request-Broker Architecture (KnoRBA). This solution aims at easily implementing self-organizing distributed software systems, mainly composed of socially interactive software agents. KnoRBA features a better way for heterogeneous agents to achieve mutual understanding: instead of specifying a protocol, it equips agents with programmatic means to provide knowledge to, and query it from the society. Utilization of KnoRBA is made possible by provision of appropriate language extensions and code libraries. This article, having reviewed the efficiencies and deficiencies of the existing literature, describes the basic principles, system architecture, and Java-based implementation of KnoRBA, as well as

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