ABSTRACT
The framework of a Fuzzy Logical Model of Perception (FLMP) has guided our research and also helps clarify the modularity issue. The results from a wide variety of experiments have been described within the framework of the FLMP. Within this framework, pattern recognition is guided by multiple sources of information that the perceiver evaluates and integrates to achieve perceptual recognition. According to the FLMP, well-learned patterns are recognized in accordance with a general algorithm, regardless of the modality or particular nature of the patterns. It is assumed that patterns are processed through a sequence of processing stages: evaluation, integration, and decision. Continuously-valued features are evaluated, integrated, and matched against prototype descriptions in memory, and an identification decision is made on the basis of the relative goodness of match of the stimulus information with the relevant prototype descriptions.
