Exact(15)
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.
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.
For the short-term learning, the agent updates the aggressiveness of its bidding behaviour (more aggressive means it will trade off profit to improve its chance of transacting, less aggressive that it targets more profitable transactions and is willing to trade off its chance of transacting to achieve them) based on market information observed after any bid or ask appears in the market.
The only way a Bayesian agent updates is through conditionalisation.
The agent updates its strategy π: S → A according to s' and r. .
The jth agent updates its strategy according to a revision rule. .
Similar(45)
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.
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.
Inserting or removing agents updates this list.
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