Managing Resources in Constrained Environments with Autonomous Agents

In the future electronic devices will permeate the environment where they will work invisibly and autonomously to deliver new and enhanced services that go far beyond the mandate of the desktop era. Intelligent agents will form the basis of many applications in this emergent ubiquitous domain. Agent Factory Micro Edition (AFME) is a framework that facilitates the construction of agent-based applications for computationally constrained devices, this paper outlines three enhancements introduced to AFME to enable resources to be managed more effectively, namely a new threading model, an extended rational decision making infrastructure, and a syntactic modification to the agent programming language that improves efficiency. The extended reasoning capabilities of AFME enable agents to choose the most appropriate course of action with respect to their finite resources in a social context.