Features and Advantages
A frame's terminals are already filled with default values, which is based on how the human mind works. For example, when a person is told "a boy kicks a ball," most people will visualize a particular ball (such as a familiar soccer ball) rather than imagining some abstract ball with no attributes.
One particular strength of frame based knowledge representations is that, unlike semantic networks, they allow for exceptions in particular instances. This gives frames an amount of flexibility that allow representations of real world phenomena to be reflected more accurately.
Like semantic networks, frames can be queried using spreading activation. Following the rules of inheritance, any value given to a slot that is inherited by subframes will be updated (IF-ADDED) to the corresponding slots in the subframes and any new instances of a particular frame will feature that new value as the default.
Because frames are structurally based, it is possible to generate a semantic network given a set of frames even though it lacks explicit arcs. Furthermore, the structure of frames allow for easy analogical reasoning, a much prized feature in any intelligent agent. The procedural attachments provided by frames also allow a degree of flexibility that makes for a more realistic representation and gives a natural affordance for programming applications.
Read more about this topic: Frame (artificial Intelligence)
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