Table 1.
Parameter | Definition | Boundaries | Values used in simulation |
---|---|---|---|
L | Quality of memory encoding: the probability that each feature in the experienced event is encoded into the corresponding memory trace vector. | 0 ≤ L ≤ 1 | L = 0.5 |
L = 0.6 | |||
L = 0.7 | |||
L = 0.8 | |||
L = 0.9 | |||
TMAX | A retrieval parameter that determines how long the model searches semantic memory. Generation terminates when the total number of retrieval failures (the model fails to retrieve a novel hypothesis) exceeds TMAX TMAX can be used to model task characteristics such as time pressure, and individual variables such as effort or motivation. | TMAX ≥ 0 | TMAX = 10 |
Ac | The activation criterion for memory traces in episodic memory. Episodic traces are placed in the activated subset if their activation exceeds this threshold, Ac. | 0 ≤ Ac ≤ 1 | Ac = 0.166 |
ɸ | This working memory capacity parameter specifies the upper limit of how many hypotheses can be held in working memory. | ɸ ≥ 0 | ɸ = 2 (low working memory capacity) ɸ = 4 (high workingmemory capacity) |
ActMinH | The activation criterion for hypotheses to be placed in working memory. ActMinH is always set to 0 initially, and then is dynamically updated based on the activation values of hypotheses in the SOC. | ActMinH ≥ 0 | ActMinH = 0 (to start) |