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- W34606440 abstract "At the heart of nearly every model in cognitive science and arti cial intelligence is the notion of roles and their llers. Roles appear as explicit slots in frame systems (Minsky, 1975), as particular positions in predicate calculus representations, as role-speci c groups in some connectionist models (McClelland & Kawamoto, 1986), and as distributed patterns in role space in other connectionist models (Smolensky, 1990). But where do roles come from? In most systems, this is not treated as an issue; objects are simply assigned fully formed structured representations. But for some problems the decomposition of an object into a set of roles and the assigning of llers to these roles appears to be half of the battle. For instance, systems attempting to make analogies between two domains are already half nished before they start if they are given sets of roles and associated llers for the items being compared (Holyoak & Thagard, 1989). We believe that problems such as analogy can be addressed adequately only when the structure of representations is grounded in perception and action (Harnad, 1991). Recent e orts to ground semantics in visual input (Bartell & Cottrell, 1991; Regier, 1990) have focused on what distinguishes predicates such as fast from slow or above from below. These approaches have not looked at questions of how objects are assigned to di erent roles or how a system would cope with predicates taking di erent numbers of arguments. Consider a system which is given a visual display containing a number of objects and the task of describing what it sees. It must do several things. It must nd one or more objects, assign labels of some sort to them, recognize that a relation exists between two or more of the objects (if it does), assign a label to the relation, and assign the objects to the roles of the relation. The assignment of objects to roles depends on the relative salience of the objects; in each relation the most salient object becomes the trajector (Langacker, 1987), realized linguistically as the subject; the other objects are landmarks, realized as the direct object or some other argument. This view recognizes the non-equivalence of pairs such as the square is above the circle and the circle is below the square; they di er with respect to the perceived relative salience of the two objects. One possibility for how this might be done is as follows. The system scans the visual input for objects, identifying them as it locates them. It keeps track of the sequence of scanning actions it makes, and when two or more objects are perceived in succession, the memory for the recent" @default.
- W34606440 created "2016-06-24" @default.
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- W34606440 date "1992-01-01" @default.
- W34606440 modified "2023-09-27" @default.
- W34606440 title "Grounding via Scanning: Cooking up Roles from Scratch" @default.
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