Frames.

FRAMES

Semantic Networks and conceptual depednecy can be used to represent specific events or experiences. A frame structure is used to analyze new situations from scratch and then build new knowledge structures to describe those situations. Typically , a frame describes a class of objects, such as CHAIR or ROOM . it consists of a collection of “slots” that describe aspects of the objects. Associated with each slot may be a set of conditions that must be met by any filler for it. Each slot may also be filled with a default value, so that in the absence of specific information, things can be associated to be as they usually are. Procedural information may also be associated with particular slots. The AI systems exploit not one but many frames. Related frames can be grouped together to form a frame system.

Frames represent an object as a group of attributes. Each attributes in a particular frame is stored in a separate slot. For example, when a furniture salesman says “ I have a nice chair, that I want you to see”, the word ‘chair’ would immediately trigger in our minds a series of expectations. We would probably expect to see an object with four legs, a seat , a back and possibly (but not necessarily) two arms. We would expect it to have a particular size and serves a place to sit. In an AI system, a frame CHAIR might include knowledge organized as shown below:

Frame : CHAIR

Parts : seat, back, legs, arms

Number of legs : 4

Number of arms: 0 or 2

Default : 0