Credal network

Imagine you have a bunch of friends who all have different information about something. Let's say you want to know how to bake a cake, but your friend Jane knows the recipe for the cake while your friend Bob knows how to work the oven. You can't bake the cake without both pieces of information!

A credal network is like a group of friends where each friend has some information, but they all have different levels of confidence in that information. For example, Jane might be really confident in her cake recipe because she's made it a million times, but Bob might not be as confident in how to work the oven because he's only used it a few times.

In a credal network, each piece of information is represented by a node (like a friend in the group) and the connections between nodes (like the friendships in the group) represent how confident each piece of information is. So if Jane is really confident in her cake recipe, her node would be connected to the "cake" node with a strong connection. But if Bob is less confident in how to work the oven, his node would be connected to the "oven" node with a weak connection.

Basically, a credal network helps us make decisions by taking in all the different pieces of information we have and weighing their confidence levels to make a more accurate conclusion.