Goals and Scope

The goal of this package is to provide basic functions and types for building models based on the ACT-R cognitive architecture. More documentation to follow. ACTRTutorials.jl is a collection of tutorials for developing analytic likelihood functions for ACTR models. ACTRSimulators.jl is an experimental package for performing "classic" discrete event simulations with ACT-R.

Installation

In the REPL, type ] to enter the package model and enter the following:

add ACTRModels

Quick Example

The example below shows how to create a simple ACT-R model and retrieve a memory using (animal,rat) as a retrieval request.

using ACTRModels
using Random

Random.seed!(28194)
# create chunks of declarative knowledge
chunks = [Chunk(;name=:Sigma, animal=:dog),
    Chunk(;name=:Bonkers, animal=:rat)]

# initialize declarative memory
declarative = Declarative(memory=chunks)

# specify model parameters: partial matching, noise, mismatch penalty, activation noise
Θ = (mmp=true, noise=true, δ=1.0, s=0.20, blc=1.5)

# create an ACT-R object with activation noise and partial matching
actr = ACTR(;declarative, Θ...)

# retrieve a memory chunk
retrieve(actr; animal=:rat)

Chunks
┌──────────────────────────────────┬───────┬───────┬──────────────┬────────┬────
│ slots                            │ N     │ L     │ time_created │ recent │ a ⋯
├──────────────────────────────────┼───────┼───────┼──────────────┼────────┼────
│ (name = :Bonkers, animal = :rat) │  1.00 │  1.00 │  0.00        │ [0.0]  │   ⋯
└──────────────────────────────────┴───────┴───────┴──────────────┴────────┴────
                                                               7 columns omitted

References

Anderson, J. R., Bothell, D., Byrne, M. D., Douglass, S., Lebiere, C., & Qin, Y. (2004). An integrated theory of the mind. Psychological review, 111(4), 1036.