A Functional Model of Sensemaking in a Neurocognitive Architecture
The list of sub-symbolic mechanisms in the ACT-R architecture.
: base-level activation reflects the recency and frequency of use of chunk i : spreading activation reflects the effect that buffer contents have on the retrieval process : partial matching reflects the degree to which the chunk matches the request : noise value includes both a transient and (optional) permanent components (permanent component not used by the integrated model)
: the number of presentations for chunk i : the time since the jth presentation : a decay rate (not used by the integrated model) : a constant offset (not used by the integrated model)
: weight of buffers summed over are all of the buffers in the model : weight of chunks which are in the slots of the chunk in buffer k : amount of activation from sources j in buffer k : strength of association from sources j to chunk i
: the maximum associative strength (set at 4 in the model) : a measure of how many chunks are associated with chunk j
: match scale parameter (set at 2) which reflects the weight given to the similarity : similarity between the value k in the retrieval specification and the value in the corresponding slot of chunk i The default range is from 0 to −1 with 0 being the most similar and −1 being the largest difference
: the probability that chunk will be recalled : activation strength of chunk : activation strength of all of eligible chunks : chunk activation noise
: probability from declarative retrieval : similarity between compromise value and actual value
: utility of production i after its application : reward production received for its nth application : utility of production i after its nth application
: probability that production i will be selected : expected utility of the production determined by the utility equation above : is the expected utility of the competing productions j
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