Memory for Goals: An Activation-Based Model

Abstract

Goal-directed cognition is often discussed in terms of specialized memory structures like the "goal stack." The "goal-activation" model presented here analyzes goal-directed cognition in terms of the general memory constructs of activation and associative priming. The model embodies three predictive constraints: (1) the interference level, which arises from residual memory for old goals; (2) the strengthening constraint, which makes predictions about time to encode a new goal; and (3) the priming constraint, which makes predictions about the role of cues in retrieving pending goals. These constraints are formulated algebraically and tested through simulation of latency and error data from the Tower of Hanoi, a means-ends puzzle that depends heavily on suspension and resumption of goals. Implications of the model for understanding intention superiority, post-completion error, and effects of task interruption are discussed.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2002
Accession Number
ADA480324

Entities

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  • Erik M. Altmann
  • J. Gregory Trafton

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  • United States Naval Research Laboratory

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  • Algorithms
  • Artificial Intelligence
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  • Human Behavior
  • Human-Computer Interaction
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  • Simulations
  • Task Performance And Analysis

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