IJAACS�is a top venue for high quality research that advances state-of-the-art contributions addressing foundational, engineering and technological aspects of communications systems exhibiting emergent and adaptive behaviour.�IJAACSencourages contributions aimed at supporting the understanding, development, and control of such communication systems based on sound theoretical models, including but not limited to bio-inspired, natural computing, game theory and economic models.�IJAACS�spans complexity, self-adaptation, autonomic communication, ambient intelligence, and multi-agent systems.
Many current communication systems and infrastructures, such as the World Wide Web, Peer-2-Peer systems and ad hoc wireless and sensor networks, have the characteristic of being decentralised, pervasive and composed of a large number of autonomous entities. Frequently, communication systems deployed on such infrastructures need to run in highly dynamic environments, where content, network topologies and work loads are continuously changing. Adaptation thus becomes a key feature of a system's behaviour.
In addition, such communication systems involve a social dimension; for example, the entities within such communication systems can engage in interactions, discover suitable other participants, negotiate, and perform transactions. In certain cases, the complexity of the communication system is such that no centralised or hierarchical control is possible. These characteristics are similar to those which one finds in self-organising systems seen in nature, such as physical, biological and social systems.