This paper presents ACIS, an Autonomous Community Information System. ACIS is a proposition made to meet the rapidly changing users' requirements and cope with the extreme dynamism in current information services. ACIS is a decentralized bilateral-hierarchy architecture formed by a community of individual end-users (community members) having the same interests and demands at specified time and location. It allows those members to mutually cooperate and share information without loading up any single node excessively. In this paper, autonomous decentralized community construction and communication technologies are proposed to assure a productive cooperation, a flexible and timely communication among large number of community members. The main ideas behind the proposed communication technology are: content-code communication (service-based) for flexibility and multilateral benefits communication for timely and productive cooperation among members. All members communicate productively for the satisfaction of all the community members. The scalability of the system's response time regardless of the number of the community members has been shown by simulation. Thus, the autonomous decentralized community communication technology reveals interesting results when the total number of members in the community increases dramatically.

Autonomous Information Service System is a proposition made to cope with the continuously changing conditions of service provision and utilization in current information systems. The faded information field (FIF), sustained by push/pull mobile agent technology, is such a distributed architecture that brings high-assurance of the system through a balanced selective replication of the information. When the demand changes, the information environment is restructured so that the same response time to services for all unspecified users can be achieved whatever the demand volume. However, once the structure is fixed, dispatching the randomly incoming requests on the FIF is still required to guarantee the same quality of service. Our goal is to warrant the autonomous dispatching of the pull mobile agents to adjust the continuously evolving arrival distribution of the demand to the current information environment. In this paper, we explain the concepts and realization of autonomous navigation under the goal of an autonomous load balancing of the pull mobile agent volume in the FIF structure. The appropriateness of this method for FIF environments has been shown by simulation.