Notice of RetractionA mobile public information system based on subsumption architecture

Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

One of the biggest shortcomings in the traditional mobile public information system is lack of a reasonable mechanism for data mining, which can not be reasonably classification of the publish information and scientific analysis of the public feedback information. In order to compensate for this shortfall, we describe a public service information and public feedback-based intelligent mobile public information system based on Brooks´ subsumption architecture. In this architecture, we implement the subsumption of lower layers by high layers using nonmonotonic reasoning principles. However, unlike systems that followed Brooks´ work, it allows the layers to work in synergy to produce the compound behavior. Study shows that, based on the above structure, the system could be reasonably classification and graded based on the information content, and dynamic adjustment of information assessment strategies, and scientific analysis of public feedback to make the public, government, and public utility companies interaction more efficient.