R.A. Chaminda Ranasinghe
There are many examples of successful emergent intelligence found in natural ecosystems. Among them, the community behaviour of the insects and specially the ants has been admired by humans for centuries. Ants occupy an important position in community life due to individual simplicity combined with relatively complex group behaviour. Ant colonies have evolved means of performing tasks collectively, which are far beyond the capacities of their constituent components. We have designed and implemented an agent model called AAANTS (Adaptive Autonomous Agent colony interactions with Network Transparent Services), that consist of a collection of software components which can be considered as an artificial colony or society. AAANTS conceptualises and implements a colony of agents that actively and intelligently interact with distributed networked services that act as an augmented neural extension to the assisted users.
In this paper we discuss the conceptualisation of the AAANTS model with reference to community life styles of an ant colony. Further we focus on the architecture, task distribution and adaptability of a myriad of components with an active environment of distributed heterogeneous services.