We here describe research into the formal specification and implementation of resource-bounded agents. In particular, we provide an overview of our work on incorporating resource limitations into executable agent specifications. In addition, we outline future directions, highlighting both their promise and their problems.
The effective reasoning capability of an agent can be defined as its capability to infer, within a given space and time bound, facts that are logical consequences of its knowledge base. In this paper we show how to determine the effective reasoning capability of an agent with limited memory by encoding the agent as a transition system and automatically verifying whether a state where the agent believes a certain conclusion is reachable from the start state. We present experimental results using (...) the Model Based Planner (MBP) which illustrates how the length of the deduction varies for different memory sizes. (shrink)