Scholarly metrics should be broadly understood as measurement constructs applied to the domain of scholarly/research (broadly, any form of rigorous enquiry), outputs, actors, impacts (i.e. broader consequences), and the relationships among them.
In our experiments, the LTS model represents the behavior of an application where the transitions represent either input or output actions, triggered by actors or systems, and test cases are able to be generated from them.
We define an impact pattern as the combination of specific research outputs with specific actors that generates various types of impact.
When an actor mediates access to untyped data, or data is subject to unexpected changes, there is no way to reliably infer the type of its output from the actor itself.
We propose then a self-coordination approach modeled by means of a coordination game [16], where the players are the conflicting SON functions, the actions are the solutions to the specific subMDPs, i.e., the output of the actor critic algorithm, and the rewards are those provided by the solution of the individual subMDPs.
Recall, that the output of the Actor network provides the value of each action take.
Figure 6B shows the values of the Actor output processing elements over time where actions left, right, up and down are represented by colors blue, green, red and light blue respectively.
The software produced a table as output that helped identify actors and explore their relative political power in the policy process.
The contextual influences, actors, inputs, outputs and artifacts are identified in each step.
The paper focuses on a specialized form of actor models where inputs and outputs to accessors and actors are time-stamped events, enabling timing-sensitive IoT applications.
