Perceptual Cognition in the Distributed Cognition (DCOG) Framework: A Study of Dual Coding and Temporal Factors in a Knowledge-Based Memory System

摘要

Distributed Cognition (DCOG) is a framework for the design and construction of computational models of cognitive behavior. The framework is based on a state-change theory of mind that emphasizes the interplay of recognitional and reasoning methods in the cognitive activities of acquiring and using knowledge. It attempts to provide a single coherent account of knowing, thinking, and learning forms of cognitive behavior. A key feature of the DCOG framework is the incorporation of an associative-based memory model that includes dual coding of conceptual knowledge. This produces a recognition- based system that is less brittle and more cognitively adaptable than other known modeling approaches. The DCOG framework is implemented as an agent-based system with a distributed control structure over 'mind domains,' each presumed to include an associative memory model that provides robust, flexible and adaptive knowledge formation and its use in work performance. This study explores the use of the dual coding of conceptual knowledge as a central component of the knowing process in perceptual cognition. it examines how a dual-coding memory system can model percept formation, and associated perceptual phenomena. More specifically, it focuses on the interaction of temporal factors with dual coding to account for perceptual 'knowing'.