A scalable
integrated information system in a network environment, the
system comprising: an agent instantiated as a
virtual machine or
virtual network function, the agent configured to communicate with the network environment, the network environment comprising a meta data inventory; a
data store comprising a central
metadata repository, the central
metadata repository configured to communicate with the network environment and selectively retrieve the meta data inventory, wherein the central
metadata repository stores an integrated context representation comprising at least one of a real-time
temporal context, a historical context, and a meta context associated with the meta data inventory; a reasoning module instantiated as a
virtual machine or
virtual network function and including an input configured to receive a reasoning concept; a
machine learning module, instantiated as a
virtual machine or
virtual network function and configured to communicate with the central
metadata repository to selectively retrieve the integrated context representation, wherein the
machine learning module communicates with the reasoning module to develop a reasoning model configured to associate the reasoning concept with the integrated context representation; and wherein the agent communicates with the
data store to retrieve the integrated context representation and communicates with the reasoning module to retrieve the reasoning model to develop an action and wherein the agent implements the action within the environment.