ACT-R Simulation

Choose a code snippet:

Expected Result i

The result that should be expected of the last print.

Number of Iterations: i

Number of iterations the model should do.

Retrieval Threshold: i

The retrieval threshold. This is the minimum activation a chunk must have to be able to be retrieved, τ, in the retrieval failure time equation. It can be set to any number and defaults to 0.0.

Latency Factor: i

The latency factor value, F, in the equation for retrieval times. It can be set to any non-negative value and defaults to 1.0.

Latency Exponent: i

The latency exponent value, f, in the equation for retrieval times. It can be set to any non-negative value and defaults to 1.0.

Activation Noise: i

The activation noise s parameter specifies the s value used to generate the instantaneous noise added to the activation equation if it is set to a positive number. If it is set to nil, which is the default, then no instantaneous noise is added to the activation of chunks. Recommended values for the noise parameter are in the range [.2,.8].

Base-Level Learning: i

The base-level learning parameter controls whether base-level learning is enabled, and also sets the value of the decay parameter, d. It can be set to any positive number or the value nil. The value nil means do not use base-level learning and is the default value, a number means that base-level is enabled and the given value is the decay parameter. The recommended value for :bll is .5, and it is one of the few parameters which have a strong recommended value.

Declarative Finst Span: i

This parameter controls how long a finst can mark a chunk as having been recently retrieved. After a finst has been marking a chunk for this amount of time the finst is removed and the chunk is no longer marked as recently retrieved. It can be set to any positive number and defaults to 3.0.

Declarative Number of Finsts: i

This parameter controls how many finsts are available in the declarative module. It can be set to any positive number and the default is 4.