The phrase "agent update" is correct and usable in written English.
It can be used in contexts related to software, technology, or customer service, typically referring to an update or change regarding an agent's status or information.
Example: "Please ensure that the agent update is completed before the end of the day to reflect the latest changes in the system."
Alternatives: "agent information refresh" or "agent status update".
And why should an ideal doxastic agent update her ranking function according to plain or Spohn Conditionalization?
A numerical algorithm is employed after each agent update to shift the cells to minimise edge overlap arising due to cell growth, division and migration.
Each agent carries five vectors: a winning bid list y i, a winning agent list z i, an agent update time s i, a bundle b i and the corresponding path p i.
Asynchrony in this paper means that each agent updates state information via its clock that is independent of those of the other agents', and the time sequence over which each agent updates its state information is not necessarily equispaced.
Each agent updates her private belief by taking into consideration information signals from all other agents of the network, including her own opinion.
A social agent updates its attention index for information c based on its attractiveness and interest while interacting with a display.
At each time instant, each agent updates its state by employing its own objective function and the states collected from itself and its neighboring agents at their separate event-triggered time instants.
Then, each agent updates its Q-table by replacing each one of its Q-values with the corresponding best Q-value: begin{aligned}&mathrm{Q}_i s,a )longleftarrow mathrm{Q}^mathrm{best}(s,a), (forall i,s,a), text { where } i text { is the agent's} nonumber &quad text {identification number.}nonumber end{aligned} (2).
That means, the agent updates its beliefs in observing each motor command as a candidate.
The simulation is run iteratively with each agent updating its memory parameters ('state') according to a number of pre-programmed rules representing biological behaviour such as proliferation, intercellular adhesion, migration and apoptosis.
After each round, agents update their strategies based on the replicator dynamic.
