This paper illustrates the design and implementation of FAIN (Filtering Agent for Internet) based on the Gaia methodology and the AUML notation. The proposed system generates and maintains a user profile by learning from examples that are judged and classified by the user during the training stage. A learning algorithm which is based on the Baldwin effect that combines learning with evolution is applied to judge an online stream of documents and filter it according to the learned profile. The illustration of the design and implementation of FAIN has shown the applicability of Gaia complemented with the AUML notation to the modeling of agent-based system.

The internet is an important tool to support the right to freedom of expression; through facilitating publication, search, and access to information, it has prepared the ground for the application of this fundamental right. Today, there is no doubt that the development of the Internet and the continued application of the new communication tool requires a developed and coherent legal system. In addition to supporting the fundamental freedoms of media, and avoiding possible abuses of this freedom, the expected legal system should be able to ensure cheap, sustainable and secure access to the media. This paper attempts to examine and study the most important issues of the legal system of news websites, including the regulations around such issues as establishment, monitoring, assessment, as well as blocking. The results of the study shows how despite the effective measure, the existing legal system for news websites is not efficient and cannot meet the current needs.