|
|
|
Our approach is to model the other agents as rational decision makers, predict their actions, and coordinate with these actions accordingly. The modeling we use is nested; models of other agents may include the models they have of others, and so on.
The obvious question of when to stop the nested levels of modeling has
two answers. First, theoretically, an agent should model others until
it runs out of modeling knowledge. Thus, if an agent has information
about how another agent models a third agent modeling the original
agent, etc., to, say 10th level, then the modeling should go on all
the way to the tenth level to include everything that is known. But,
if the agent has no information beyond, say, the second level (i.e.,
agent has information on how to model other agents, but has no clue
about the models the others use to coordinate), then the nesting stops
just below the second level with, what we call, a no-information
model.
|
|
|
MISSION · PUBLICATION · MEMBER · RESEARCH · LINKS © 1998 Multi-Agent Systems Group at UIC |