Leveraging problem classification in online meta-cognition

Open environments are characterized by their uncer-tainty and non-determinism. This poses an inevitable challenge to the construction of agents operating in such environments. The agents need to adapt their process-ing to available resources, deadlines, the goal criteria specified by the clients as well as their current problem solving context in order to survive. Our research fo-cuses on constructing a meta-cognition framework that will enable agents to adapt to their dynamic environ-ment. This will include deciding which environmen-tal changes to address, how quickly they should be ad-dressed and which of the different planning, scheduling and negotiation modes to use to address these changes. In this paper, we also describe how the classification of environmental changes plays a pivotal role in making the meta-level decisions