  The next generation of cellular networks, 6G, is expected to offer a range of
exciting applications and services, including holographic communication,
machine-to-machine communication, and data sensing from millions of devices.
There is an incremental exhaustion of the spectral resources. It is crucial to
efficiently manage these resources through value-driven approaches that
eliminate waste and continually enhance the communication process. These
management principles align with the Task-Oriented Communications (TOC)
philosophy. The aim is to allocate the minimum necessary communication resource
according to the receiver's objective and continuously improve the
communication process. However, it is currently unclear how to build knowledge
of the receiver's goal and operate accordingly for efficient-resource
utilization. Our management approach combines viability theory and transfer
entropy to ensure that the actor remains within a viable space as per their
goal and to gradually reduce the information exchange through knowledge
accumulation. We discuss these theories in the context of TOC and examine their
application in the plant process control case. Finally, we provide insights
into future research directions from computational, performance, and protocol
perspectives.
