ACTR <: AbstractACTR

An object representing an ACTR model.

Fields

• name="model1": model name
• declarative: declarative memory module
• imaginal: imaginal memory module
• visual: visual module
• goal: goal module
• visual_location: visual location module
• visicon: a vector of VisualObjects available in the task
• parms: model parameters
• scheduler: event scheduler
• `rng': random number generator

function ACTR(;
    name="model1", 
    declarative=Declarative(), 
    imaginal=Imaginal(), 
    goal = Goal(), 
    scheduler=Scheduler(), 
    visual=nothing, 
    visual_location=nothing, 
    procedural=nothing, 
    motor=nothing, 
    visicon=init_visicon(), 
    parm_type = Parms, 
    rng = Random.default_rng(),
    parms...)

A constructor for creating an ACTR model object.

Keywords

• name: model name
• declarative: declarative memory module
• imaginal: imaginal memory module
• visual: visual module
• goal: goal module
• visual_location: visual location module
• visicon: a vector of VisualObjects available in the task
• parms: model parameters
• scheduler: event scheduler
• `rng': random number generator

Example

using ACTRModels
parms = (noise=true, τ=-1.0)
chunks = [Chunk(;animal=:dog,name=:Sigma), Chunk(;animal=:rat,name=:Bonkers)]
declarative = Declarative(;memory=chunks)
actr = ACTR(;declarative, parms...)

BufferState(;busy, error, empty)

An object representing the state of the buffer.

Fields

• busy=false: busy if true
• error=false: error if true
• empty=true: empty if true

Chunk

An object representing a declarative memory chunk.

Fields

• N=1.0: number of uses
• L=1.0: lifetime of chunk
• time_created=0.0: time at which the chunk was created
• k=1: number of chunks in recent set (k=1 is sufficient)
• act=0.0: total activation
• act_blc=0.0: base level constant component of activation
• act_bll=0.0: base level learning component of activation
• act_pm=0.0: partial matching component of activation
• act_sa=0.0: spreading activation component of activation
• act_noise=0.0: noise component of activation
• slots: chunk slot-value pairs
• reps=0: number of identical chunks. This can be used in simple cases to speed up the code.
• recent=[0.0]: time stamps for k recent retrievals
• lags=Float64[]: lags for recent retrievals (L - recent)
• bl=0.0: baselevel constant added to chunks activation

Chunk(dynamic::Bool; 
    N = 1,
    L = 1.0,
    time_created = 0.0,
    k = 1, 
    act = 0.0, 
    recent = [0.0],
    reps = 0, 
    lags = Float64[], 
    bl = zero(typeof(act)),
    slots...)

A declarative memory chunk with dynamic slot-value pairs.

Fields

• dynamic::Bool: slot-value pairs are mutable if true
• N=1.0: number of uses
• L=1.0: lifetime of chunk
• time_created=0.0: time at which the chunk was created
• k=1: number of chunks in recent set (k=1 is sufficient)
• act_mean: mean activation computed as act - act_noise
• act=0.0: total activation computed as act_mean + act_noise
• act_blc=0.0: base level constant component of activation
• act_bll=0.0: base level learning component of activation
• act_pm=0.0: partial matching component of activation
• act_sa=0.0: spreading activation component of activation
• act_noise=0.0: noise component of activation
• slots: chunk slot-value pairs
• reps=0: number of identical chunks. This can be used in simple cases to speed up the code.
• recent=[0.0]: time stamps for k recent retrievals
• lags=Float64[]: lags for recent retrievals (L - recent)
• bl=0.0: baselevel constant added to chunks activation

Chunk(;
    N = 1,
    L = 1.0,
    time_created = 0.0,
    k = 1, 
    act = 0.0, 
    recent = [0.0],
    reps = 0, 
    lags = Float64[], 
    bl = zero(typeof(act)),
    slots...)

An object representing a declarative memory chunk.

Keywords

• N=1.0: number of uses
• L=1.0: lifetime of chunk
• time_created=0.0: time at which the chunk was created
• k=1: number of chunks in recent set (k=1 is sufficient)
• act=0.0: total activation
• act_blc=0.0: base level constant component of activation
• act_bll=0.0: base level learning component of activation
• act_pm=0.0: partial matching component of activation
• act_sa=0.0: spreading activation component of activation
• act_noise=0.0: noise component of activation
• slots: chunk slot-value pairs
• reps=0: number of identical chunks. This can be used in simple cases to speed up the code.
• recent=[0.0]: time stamps for k recent retrievals
• lags=Float64[]: lags for recent retrievals (L - recent)
• bl=0.0: baselevel constant added to chunks activation

Example

using ACTRModels

chunk = Chunk(; name = :Bonkers, animal = :rat)

Declarative(;memory=, filtered=(:isa,:retrieved))

Declarative memory module

Fields

• memory=Chunk[]: array of chunks
• filtered: slots that must match exactly even when partial matching is on. By default, filtered=(:isa,:retrieved)
• buffer: an array containing one chunk
• state: buffer state

Goal(;chunk=Chunk())

Goal Module.

Fields

• buffer: an array holding up to one chunk
• state: buffer state

Imaginal(;buffer=Chunk[], ω=1.0, denoms=Int64[])

Imaginal Module.

Fields

• buffer: an array holding up to one chunk
• state: buffer state
• ω=1.0: fan weight. Default is 1.
• denoms=Int64[]: cached value for the denominator of the fan calculation

Motor(;chunk=Chunk())

Motor Module.

Fields

• buffer: an array holding up to one chunk
• state: buffer state
• mouse_position: x,y coordinates of mouse position on screen

Parms(; kwargs...) -> Parms

ACT-R parameters with default values. Default values are overwritten with keyword arguments.

Fields

• d=0.5: activation decay
• τ=0.0: retrieval threshold
• s=0.2: logistic scalar for activation noise.
• γ=1.6: maximum associative strength
• δ=0.0: mismatch penalty
• ω=1.0: weight for source of spreading activation
• blc=0.0: base level constant
• ter=0.0: a constant for encoding and responding time
• dissim_func: computes dissimilarity between two slot values. Output ranges from 0 (maximally similar) to 1 (maximially dissimilar)
• sa_fun: a function for spreading activation which requires arguments for actr and chunk
• util_mmp_fun: utility mismatch penalty function applied to each condition
• lf=1.0: latency factor parameter
• u0=0.0: initial utility value
• σu=.2: standard deviation of utility noise
• δu=1.0: mismatch penalty parameter for utility
• τu0 = -100: initial value of utility threshold
• `τu = τu0': utility threshold
• u0Δ = 1.0: utility decrement
• τuΔ = 1.0: utility threshold decrement
• utility_decrement=1.0: the utility decrement scalar. After each microlapse, utility_decrement is multiplied by u0Δ
• threshold_decrement=1.0: the threshold decrement scalar. After each microlapse, threshold_decrement is multiplied by τuΔ
• bll=false: base level learning on
• mmp=false: mismatch penalty on
• sa=false: spreading activatin on
• noise=false: noise on
• mmp_utility=false: mismatch penalty for procedural memory
• utility_noise=false: utility noise for procedural memory
• tmp=s * √(2): temperature for blending
• misc: NamedTuple of extra parameters
• filtered: a list of slots that must absolutely match with mismatch penalty. isa and retrieval are included by default

Procedural

Procedural Memory Module object.

Arguments

• buffer: an array holding up to one chunk
• state: buffer state

Rule(;utlity=0.0, conditions, action)

A production rule object.

Fields

• utility=0.0: utility of the production rule
• initial_utility=0.0: initial utility
• utility_mean=0.0: mean utility
• utility_penalty=0.0: mismatch penalty term for utility
• utlity_noise=0.0: utility noise
• conditions: a function for checking conditions
• action: a function for performing an action
• name: name of production

Visual(;chunk=Chunk())

Visual Module.

Fields

• buffer: an array holding up to one chunk
• state: buffer state
• focus: coordinates of visual attention

VisualLocation

Visual Location Module.

Fields

• buffer::Array{T1,1}: an array holding up to one chunk
• state::B: buffer state
• iconic_memory::Array{T1,1}: a temporary memory store for visible objects

VisualObject(;x=300.0, y=300.0, color=:black, text="", shape=:_, width=30.0, height=30.0)

A visible object in a task.

Fields

• x: x coordinate of visual object. Default 0.
• y: y coordinate of visual object. Default 0.
• color: object color
• shape: object shape
• text: object text
• width: object width
• height: object height

add_chunk!(actr::AbstractACTR, cur_time=0.0; slots...)

Adds new chunk to declarative memory or updates existing chunk with new use

Arguments

• actr::AbstractACTR: an ACT-R model object
• cur_time=0.0: current simulated time in seconds

Keywords

• slots...: optional keyword arguments corresponding to slot-value pairs, e.g. name=:Bob

add_chunk!(actr::AbstractACTR; slots...)

Adds new chunk to declarative memory or updates existing chunk with new use. The default time is computed from get_time.

Arguments

• actr::AbstractACTR: an ACT-R model object

Keywords

• slots...: optional keyword arguments corresponding to slot-value pairs, e.g. name=:Bob

add_chunk!(memory::Declarative, cur_time=0.0; act=0.0, slots...)

Adds new chunk to declarative memory or updates existing chunk with new use

Arguments

• memory::Declarative: declarative memory object
• cur_time=0.0: current simulated time in seconds
• bl=0.0: baselevel constant for new/updated chunk

Keywords

• slots...: optional keyword arguments corresponding to slot-value pairs, e.g. name=:Bob

add_time!(actr::AbstractACTR, t)

Add time to simulation.

Arguments

• actr::AbstractACTR: an ACTR model object
• t: time in seconds

add_time!(actr::AbstractACTR, t)

Add time to simulation.

Arguments

• scheduler: an event scheduler
• t: time in seconds

blend_chunks(actr, blended_slots, cur_time; request...)

Computes blended value over chunks given a retrieval request. Values are blended over the slots specified in blended_slots. Currently, blended is only supported for numeric slot-values.

Arguments

• actr: an ACTR model object
• blended_slots: a set of slots over which slot-values are blended
• cur_time: current simulated time

Keywords

• request...: optional keywords for the retrieval request

blend_chunks(actr::AbstractACTR, blended_slots; request...)

Computes blended value over chunks given a retrieval request. By default, values are blended over the set of slots formed by the set difference between all slots of a chunk and the slots specified in the retrieval request. The default time used in activation calculations is taken from get_time(actr). Currently, blended is only supported for numeric slot-values.

Arguments

• actr::AbstractACTR: an ACTR model object
• blended_slots: a set of slots over which slot-values are blended

Keywords

• request...: optional keywords for the retrieval request

blended_activation(chunks)

Computes a blended activation value by exponentiating, summing and taking the log of activations across a set of chunks.

Arguments

• chunks: a set of chunks over which slot-values are blended

compute_RT(actr, chunk)

Generates a reaction time for retrieving a chunk based on the current activation levels of a chunk.

Arguments

• actr: ACTR object
• chunk: a chunk

compute_RT(actr, chunk)

Generates a reaction time for retrieving a chunk based on the current activation levels of a chunk. If the vector is empty, time for a retrieval failure is returned.

Arguments

• actr: ACTR object
• chunk: a vector that is empty or contains one chunk

compute_RT(blended_act)

Computes retrieval time for a given blended activation value.

Arguments

• blended_act: a blended activation value

compute_activation!(actr, chunk::Chunk, cur_time; request...)

Computes the activation of a chunk

Arguments

• actr: actr object
• chunk::Chunk: a chunk.
• cur_time: current simulated time in seconds

Keywords

• request...: optional keywords for the retrieval request

compute_activation!(actr, chunk::Chunk; request...)

Computes the activation of a chunk. By default, current time is computed with get_time.

Arguments

• actr: actr object
• chunk::Chunk: a chunk.

Keywords

• request...: optional keywords for the retrieval request

compute_activation!(actr::AbstractACTR, cur_time::Float64; request...)

Computes the activation of all chunks in declarative memory

Arguments

• actr::AbstractACTR: an ACTR object
• cur_time: current simulated time in seconds

Keywords

• request...: optional keywords for the retrieval request

compute_activation!(actr::AbstractACTR, chunks::Vector{<:Chunk}, cur_time::Float64; request...)

Computes the activation of a vector of chunks

Arguments

• actr::AbstractACTR: an ACTR object
• chunks::Vector{<:Chunk}: a vector of chunks.
• cur_time::Float64: current simulated time in seconds

Keywords

• request...: optional keywords for the retrieval request

compute_activation!(actr::AbstractACTR, chunks::Vector{<:Chunk}; request...)

Computes the activation of a vector of chunks. By default, current time is computed with get_time.

Arguments

• actr::AbstractACTR: an ACTR object
• chunks::Vector{<:Chunk}: a vector of chunks.

Keywords

• request...: optional keywords for the retrieval request

compute_activation!(actr::AbstractACTR; request...)

Computes the activation of all chunks in declarative memory. By default, current time is computed with get_time.

Arguments

• actr::AbstractACTR: an ACTR object

Keywords

• request...: optional keywords for the retrieval request

find_index(actr::ACTR, funs...; check_value=true, criteria...)

Returns the index of first chunk that matches a set of criteria

Arguments

• actr: ACTR object
• funs: a set of functions

Keywords

• check_value=true:
• criteria: a set of keyword arguments for slot-value pairs

Example

chunks = [Chunk(animal=:dog), Chunk(animal=cat)]
find_index(chunks; animal=:dog)

find_index(chunks::Array{<:Chunk,1}, funs...; check_value=true, criteria...)

Returns the index of first chunk that matches a set of criteria

Arguments

• chunks: an array of chunks
• funs: a set of functions
• criteria: a set of keyword arguments for slot-value pairs

Keywords

• check_value=true:
• criteria: a set of keyword arguments for slot-value pairs

chunks = [Chunk(animal=:dog), Chunk(animal=cat)]
find_index(chunks; animal=:dog)

find_index(chunks::Array{<:Chunk,1}; check_value=true, criteria...)

Returns the index of first chunk that matches a set of criteria

Arguments

• chunks: an array of chunks

Keywords

• check_value=true:
• criteria: a set of keyword arguments for slot-value pairs

Example

chunks = [Chunk(animal=:dog), Chunk(animal=cat)]
find_index(chunks; animal=:dog)

find_indices(actr::ACTR, funs...; check_value=true, criteria...)

Returns the index of first chunk that matches a set of criteria

Arguments

• actr: an ACTR object
• funs: a set of functions

Keywords

• check_value=true:
• criteria: a set of keyword arguments for slot-value pairs

Example

chunks = [Chunk(animal=:dog), Chunk(animal=:dog), Chunk(animal=cat)]
find_indices(chunks; animal=:dog)

find_indices(actr::ACTR; check_value = true, criteria...)

Returns the index of first chunk that matches a set of criteria

Arguments

• actr: an ACTR object
• criteria: a set of keyword arguments for slot-value pairs

Example

chunks = [Chunk(animal=:dog), Chunk(animal=:dog), Chunk(animal=cat)]
find_indices(chunks; animal=:dog)

find_indices(chunks::Array{<:Chunk,1}, funs...; check_value=true, criteria...)

Returns the index of first chunk that matches a set of criteria.

Arguments

• chunks: an array of chunks
• funs: a set of functions

Keywords

• check_value=true:
• criteria: a set of keyword arguments for slot-value pairs

Example

chunks = [Chunk(animal=:dog), Chunk(animal=:dog), Chunk(animal=cat)]
find_indices(chunks; animal=:dog)

find_indices(chunks::Array{<:Chunk,1}; check_value=true, criteria...)

Returns the index of first chunk that matches a set of criteria

Arguments

• chunks: an array of chunks

Keywords

• check_value=true:
• criteria: a set of keyword arguments for slot-value pairs

Example

chunks = [Chunk(animal=:dog), Chunk(animal=:dog), Chunk(animal=cat)]
find_indices(chunks; animal=:dog)

first_chunk(actr::AbstractACTR; check_value=true, criteria...)

Returns the first chunk in memory that matches a set of criteria

Arguments

• actr::AbstractACTR: an ACT-R model object

Keywords

• check_value=true: check slot value

• criteria...: optional keyword arguments corresponding to critiria for matching chunk

first_chunk(d::Declarative; criteria...)

Returns the first chunk in memory that matches a set of criteria

Arguments

• d::Declarative: a declarative memory object

Keywords

• check_value=true: check slot value

• criteria...: optional keyword arguments corresponding to critiria for matching chunk

first_chunk(memory::Vector{<:Chunk}; check_value=true, criteria...)

Returns the first chunk in memory that matches a set of criteria

Arguments

• memory::Vector{<:Chunk}: a vector of chunks

Keywords

• check_value=true: check slot value

• criteria...: optional keyword arguments corresponding to critiria for matching chunk

get_buffer(actr, m)

Returns posterior predictive distribution and optionally applies function to samples on each replication

Arguments

• actr: an ACTR object
• m: name of module as a symbol

Example

get_buffer(actr, :imaginal)

get_chunks(actr::AbstractACTR, funs...; check_value=true, criteria...)

Returns all chunks that matches a set criteria using funs... as matching functions.

Arguments

• actr::AbstractACTR: an ACT-R model object
• funs...: a list of functions

Keywords

• check_value=true: check slot value

• criteria...: optional keyword arguments corresponding to critiria for matching chunk

get_chunks(actr::AbstractACTR; check_value=true, criteria...)

Returns all chunks that matches a set criteria

Arguments

• actr::AbstractACTR: an ACTR Object

#Keywords

• check_value=true: check slot value

• criteria...: optional keyword arguments corresponding to critiria for matching chunk

get_chunks(d::Declarative, funs...; check_value=true, criteria...)

Returns all chunks that matches a set criteria using funs... as matching functions

Arguments

• d::Declarative: declarative memory object
• funs...: a list of functions

Keywords

• check_value=true: check slot value

• criteria...: optional keyword arguments corresponding to critiria for matching chunk

get_chunks(d::Declarative; check_value=true, criteria...)

Returns all chunks that matches a set criteria.

Arguments

• d::Declarative: declarative memory object

Keywords

• check_value=true: check slot value

• criteria...: optional keyword arguments corresponding to critiria for matching chunk

get_chunks(memory::Vector{<:Chunk}, funs...; check_value=true, criteria...)

Returns all chunks that matches a set criteria which are evaluted according to the list of functions in funs.

Arguments

• memory::Vector{<:Chunk}: vector of chunk objects
• funs...: a list of functions

Keywords

• check_value=true: check slot value

• criteria...: optional keyword arguments corresponding to critiria for matching chunk

get_chunks(memory::Vector{<:Chunk}; check_value=true, criteria...)

Returns all chunks that matches a set criteria.

Arguments

• memory::Vector{<:Chunk}: vector of chunk objects

Keywords

• check_value=true: check slot value

-criteria...: optional keyword arguments corresponding to critiria for matching chunk

get_iconic_memory(actr)

Returns array of chunks or visual objects representing iconic memory

Arguments

• actr: an ACTR object

get_mean_activations(actr::AbstractACTR)

Returns a vector of mean activations i.e. activation without noise

Arguments

• actr::AbstractACTR: an ACTR object

get_mean_activations(declarative::Declarative)

Returns a vector of mean activations i.e. activation without noise

Arguments

• declarative::Declarative: an Declarative memory object

get_mean_activations(chunks::Vector{<:Chunk})

Returns a vector of mean activations i.e. activation without noise

Arguments

• chunks::Vector{<:Chunk}: an array of chunks

get_name(actr::AbstractACTR)

Returns the name of an ACT-R model object.

Arguments

• actr::AbstractACTR: an ACTR model object

get_parm(actr, p)

Returns the value of a parameter

Arguments

• actr: ACTR object
• p: parameter name

get_time(actr::AbstractACTR)

Get the current time of the simulation.

Arguments

• actr::AbstractACTR: an ACTR model object

get_time(scheduler)

Get the current time of the simulation.

Arguments

• scheduler: an event scheduler

get_iconic_memory(actr)

Returns array of chunks or visual objects representing all visual objects within the simulation

Arguments

• actr: an ACTR object

modify!(c; args...)

Modifies fields of an object

Arguments

• c: an object

Keywords

• args...: optional keywords for field and values

modify!(c::NamedTuple; args...)

Modifies fields of NamedTuple

Arguments

• c: a NamedTuple

Keywords

• args...: optional keywords for field and values

posterior_predictive(model, chain, n_samples::Int, f=x -> x)

Returns posterior predictive distribution and optionally applies function to samples on each replication

• model: the data generating function of a model
• chain: an MCMCChains chain object
• n_samples: the number of samples
• f: a function that is applied to each sample from posterior predictive distribution

retrieval_prob(actr::AbstractACTR, chunk::Chunk, cur_time=0.0; request...)

Uses the softmax approximation to compute the retrieval probability of retrieving a chunk.

Arguments

• actr::AbstractACTR: an ACT-R object
• chunk::Chunk: a chunk
• cur_time: current simulated time in seconds

Keywords

• request...: optional keyword pairs representing a retrieval request

retrieval_prob(actr::AbstractACTR, chunk::Chunk; request...)

Uses the softmax approximation to compute the retrieval probability of retrieving a chunk. By default, current time is computed from get_time.

Arguments

• actr::AbstractACTR: an ACT-R object
• chunk::Chunk: a chunk

Keywords

• request...: optional keyword pairs representing a retrieval request

retrieval_prob(actr::AbstractACTR, target::Array{<:Chunk,1}, cur_time; request...)

Computes the retrieval probability of one chunk from a set of chunks defined in target. Retrieval probability is computed with the softmax approximation.

Arguments

• actr::AbstractACTR: an actr object
• target::Array{<:Chunk,1}: a vector chunks in the numerator of the softmax function
• cur_time: current time in seconds

Keywords

• request...: optional keywords for the retrieval request

retrieval_prob(actr::AbstractACTR, target::Array{<:Chunk,1}; request...)

Uses the softmax approximation to compute the retrieval probability of retrieving a chunk. By default, current time is computed from get_time.

Arguments

• actr::AbstractACTR: an ACT-R object
• target::Array{<:Chunk,1}: a vector chunks in the numerator of the softmax function

Keywords

• request...: optional keyword pairs representing a retrieval request

retrieval_probs(actr::AbstractACTR, cur_time; request...)

Computes the retrieval probability for each chunk matching the retrieval request.

Arguments

• actr::AbstractACTR: an actr object
• cur_time: current simulated time in seconds

Keywords

• request...: optional keyword pairs representing a retrieval request

retrieval_request(actr::AbstractACTR; request...)

Returns chunks matching a retrieval request.

Arguments

• memory: declarative memory object

Keywords

• request...: optional keyword arguments corresponding to retrieval request e.g. dog = :fiddo

retrieve(actr::AbstractACTR, cur_time; request...)

Retrieves a chunk given a retrieval request

Arguments

• actr: an ACT-R object
• cur_time: current simulated time in seconds

Keywords

• request...: optional keyword arguments representing a retrieval request, e.g. person=:bob

retrieve(actr::AbstractACTR; request...)

Retrieves a chunk given a retrieval request. By default, current time is computed with get_time.

Arguments

• actr: an ACT-R object

Keywords

• request...: optional keyword arguments representing a retrieval request, e.g. person=:bob

Example

using ACTRModels 
chunks = [Chunk(country=:Germany, capitol=:Berlin),
        Chunk(country=:Australia, capitol=:Canberra)]
declarative = Declarative(memory=chunks)
parms = (noise=true, s=0.20)
actr = ACTR(;declarative, parms...)
retrieve(actr; country=:Germany)

get_buffer(actr, m)

Returns posterior predictive distribution and optionally applies function to samples on each replication

Arguments

• actr: an ACTR object
• m: name of module as a symbol
• v: new value

Example

set_buffer!(actr, :imaginal, [chunk])

update_chunk!(chunk, cur_time)

Increments number of uses and adds cur_time as the most recent time of use.

Arguments

• chunk: a chunk object
• `cur_time': current simulated time in seconds

update_lags!(chunk::Chunk, cur_time)

Compute lags for each use of a chunk.

Arguments

• chunk::Chunks: a chunk
• cur_time: current simulated time in seconds.

update_lags!(actr::AbstractACTR, cur_time)

Compute lags for each use of a chunk. Applies to all chunks in declarative memory.

Arguments

• actr::AbstractACTR: an ACTR object
• cur_time: current simulated time in seconds

update_lags!(memory::Declarative, cur_time)

Compute lags for each use of a chunk. Applies to all chunks in declarative memory.

Arguments

• memory::Declarative: a declarative memory object object
• cur_time: current simulated time in seconds

update_recent!(chunk, cur_time)

Adds a new timestamp to chunk and removes oldest timestamp if length equals k.

Arguments

• chunk: memory chunk object
• cur_time: current simulated time in seconds

update_recent!(actr, chunk)

Adds a new timestamp to chunk and removes oldest timestamp if length equals k. By default, current time is computed with get_time.

Arguments

• actr: an ACT-R model object
• chunk: memory chunk object

match(chunk::Chunk, funs...; request...)

Returns a boolean indicating whether a request matches a chunk. False is returned if the slot does not exist in the chunk or the value of the slot does not match the request value.

• chunk: chunk object
• funs...: a list of functions such as !=, ==
• request...: a NamedTuple of slot value pairs

match(chunk::Chunk; request...)

Returns a boolean indicating whether a request matches a chunk. False is returned if the slot does not exist in the chunk or the value of the slot does not match the request value.

Arguments

• chunk::Chunk: a chunk object

Keywords

• request...: optional keyword arguments corresponding to critiria for matching chunk