A Model of Language Processing and Spatial Reasoning Using Skill Acquisition to Situate Action
نویسندگان
چکیده
This paper describes empirical and modeling efforts that show it is possible to specify and empirically validate a model of situated action that utilizes symbolic representations and rulebased information processes. The discussed work shows that situated actions based on active perception (Bajcsy, 1988) utilizing learned visual routines (Ullman, 1983) can be modeled using symbolic representations and rules in ACT-R. In addition to demonstrating that situated action can be symbolically modeled, the ACT-R model explains the behavioral data obtained in the series of described experiments.
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تاریخ انتشار 2008