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NIPS
2001

Fragment Completion in Humans and Machines

13 years 5 months ago
Fragment Completion in Humans and Machines
Partial information can trigger a complete memory. At the same time, human memory is not perfect. A cue can contain enough information to specify an item in memory, but fail to trigger that item. In the context of word memory, we present experiments that demonstrate some basic patterns in human memory errors. We use cues that consist of word fragments . We show that short and long cues are completed more accurately than medium length ones, and study some of the factors that lead to this behavior. We then present a novel computational model that shows some of the flexibility and patterns of errors that occur in human memory. This model iterates between bottom-up and top-down computations. These are tied together using a Markov model of words that allows memory to be accessed with a simple feature set, and enables a bottom-up process to compute a probability distribution of possible completions of word fragments, in a manner similar to models of visual perceptual completion.
David Jacobs, Bas Rokers, Archisman Rudra, Zili Li
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2001
Where NIPS
Authors David Jacobs, Bas Rokers, Archisman Rudra, Zili Liu
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