532 lines
15 KiB
Racket
532 lines
15 KiB
Racket
#lang scribble/manual
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@(require scribble/example racket/sandbox
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(for-label typed/racket/base
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graph
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(only-in typed/graph Graph)
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(submod "../networks.rkt" typed)
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"../utils.rkt"
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"../functions.rkt"))
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@(define networks-evaluator
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(parameterize ([sandbox-output 'string]
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[sandbox-error-output 'string]
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[sandbox-memory-limit 50])
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(make-evaluator 'typed/racket #:requires '((submod "networks.rkt" typed)))))
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@(define-syntax-rule (ex . args)
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(examples #:eval networks-evaluator . args))
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@(define-syntax-rule (deftypeform . args)
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(defform #:kind "type" . args))
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@(define-syntax-rule (deftype . args)
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(defidform #:kind "type" . args))
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@title[#:tag "networks"]{dds/networks: Formal Dynamical Networks}
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@defmodule[(submod dds/networks typed)]
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This module provides definitions for and analysing network models. A network
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is a set of variables which are updated according to their corresponding update
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functions. The variables to be updated at each step are given by the mode.
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This model can generalise Boolean networks, TBANs, multivalued networks, etc.
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@section[#:tag "networks-basics"]{Basic types}
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@deftypeform[(State a)]{
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An immutable mapping (a hash table) assigning elements of type @racket[a] to
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the variables. A synonym of @racket[VariableMapping].
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}
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@deftypeform[(UpdateFunction a)]{
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An update function is a function computing a value from the given
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state. This is a synonym of the type @racket[(-> (State a) a)].
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}
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@deftypeform[(Domain a)]{
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A domain which is a subset of the type @racket[a].
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@racket[(Domain a)] is a synonym of @racket[(Listof a)].
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}
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@deftypeform[(DomainMapping a)]{
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A domain mapping is a hash table mapping variables to the lists of values in
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their domains.
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}
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@section{Common examples}
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The examples in this document often use the same definitions, which are
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therefore grouped here to avoid duplicating them.
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These are two functions calculating an @italic{AND} and an @italic{OR} between
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the variables @racket[a] and @racket[b]:
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@ex[
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(: or-func (UpdateFunction Boolean))
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(define (or-func s)
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(or (hash-ref s 'a) (hash-ref s 'b)))
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(: and-func (UpdateFunction Boolean))
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(define (and-func s)
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(and (hash-ref s 'a) (hash-ref s 'b)))
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]
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These are two functions calculating an @italic{AND} and an @italic{OR} between
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two variables @racket[a] and @racket[b] whose values are in @tt{{0,1}}:
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@ex[
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(require (only-in "utils.rkt" assert-type))
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(: or-func/01 (UpdateFunction (U Zero One)))
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(define (or-func/01 s)
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(assert-type (max (hash-ref s 'a) (hash-ref s 'b))
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(U Zero One)))
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(: and-func/01 (UpdateFunction (U Zero One)))
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(define (and-func/01 s)
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(assert-type (min (hash-ref s 'a) (hash-ref s 'b))
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(U Zero One)))
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]
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@section{Utilities}
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@defproc[(01->boolean/state [s (State (U Zero One))]) (State Boolean)]{
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Converts the values 0 and 1 in a state to @racket[#f] and
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@racket[#t] respectively.
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@ex[
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(01->boolean/state (hash 'a 0 'b 1))
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]}
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@defproc[(make-same-domains [vars (Listof Variable)]
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[domain (Domain a)])
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(DomainMapping a)]{
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Makes a hash set mapping all variables to a single domain.
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@ex[
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(make-same-domains '(a b) '(1 2))
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]}
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@defproc[(make-boolean-domains [vars (Listof Variable)])
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(DomainMapping Boolean)]{
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Makes a hash set mapping all variables to the Boolean domain.
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@ex[
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(make-boolean-domains '(a b))
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]}
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@defproc[(make-01-domains [vars (Listof Variable)])
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(DomainMapping (U Zero One))]{
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Makes a hash set mapping all variables to the Boolean domain, expressed as
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@tt{{0,1}}.
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@ex[
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(make-01-domains '(a b))
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]}
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@section{Networks}
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@defstruct*[network ([functions (VariableMapping (UpdateFunction a))]
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[domains (DomainMapping a)])]{
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A network consists of a mapping from its variables to its update variables, as
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a well as of a mapping from its variables to their domains.
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Instances of @racket[network] have the type @racket[Network].
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}
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@deftypeform[(Network a)]{
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The type of the instances of @racket[network].
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@ex[
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(network (hash 'a or-func
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'b and-func)
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(hash 'a '(#f #t)
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'b '(#f #t)))
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]}
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@defproc[(make-boolean-network [funcs (VariableMapping (UpdateFunction Boolean))])
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(Network Boolean)]{
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Builds a Boolean network from a given hash table assigning functions to
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variables by attributing Boolean domains to every variable.
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@ex[
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(make-boolean-network (hash 'a or-func 'b and-func))
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]}
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@defproc[(make-01-network [funcs (VariableMapping (UpdateFunction (U Zero One)))])
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(Network (U Zero One))]{
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Build a network from a given hash table assigning functions to variables by
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attributing the domain @tt{{0,1}} to every variable.
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@ex[
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(make-01-network (hash 'a or-func/01 'b and-func/01))
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]}
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@defproc[(update [network (Network a)] [s (State a)] [xs (Listof Variable)])
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(State a)]{
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Given a state @racket[s] updates all the variables of @racket[network] from
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@racket[xs].
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@ex[
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(update (make-boolean-network (hash 'a or-func 'b and-func))
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(hash 'a #f 'b #t)
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'(a))
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]}
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@section{Syntactic description of networks}
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@deftype[UpdateFunctionForm]{
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An update function form is any form which can appear as a body of a function
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and which can be evaluated with @racket[eval].
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@ex[
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(ann '(and x y (not z)) UpdateFunctionForm)
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(ann '(+ 1 a (- b 10)) UpdateFunctionForm)
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]
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@racket[UpdateFunctionForm] is a synonym of @racket[Any].
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}
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@defstruct*[network-form ([functions (VariableMapping NetworkForm)]
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[domains (DomainMapping a)])]{
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A network form consists of a mapping from variables to the forms of their
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update functions, together with a mapping from its variables to its
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update functions.
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The domain mapping does not have to assign domains to all variables (e.g., it
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may be empty), but in this case the functions which need to know the domains
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will not work.
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Instances of @racket[network-form] have the type @racket[NetworkForm].
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}
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@deftypeform[(NetworkForm a)]{
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The type of instances of @racket[network-form].
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@ex[
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(network-form (hash 'a '(and a b) 'b '(or a b))
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(hash 'a '(#f #t) 'b '(#f #t)))
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]}
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@defproc[(update-function-form->update-function/any [func UpdateFunctionForm])
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(UpdateFunction Any)]{
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Builds an update function from an update function form.
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@ex[
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(define and-from-form (update-function-form->update-function/any '(and x y)))
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(and-from-form (hash 'x #f 'y #f))
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(and-from-form (hash 'x #f 'y #t))
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(and-from-form (hash 'x #t 'y #f))
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(and-from-form (hash 'x #t 'y #t))
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]}
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@defproc[(update-function-form->update-function/boolean [func UpdateFunctionForm])
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(UpdateFunction Boolean)]{
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Like @racket[update-function-form->update-function/any], but the resulting
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function operates on Boolean states.
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@ex[
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(define and-from-form/boolean (update-function-form->update-function/boolean '(and x y)))
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(and-from-form/boolean (hash 'x #f 'y #f))
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(and-from-form/boolean (hash 'x #f 'y #t))
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(and-from-form/boolean (hash 'x #t 'y #f))
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(and-from-form/boolean (hash 'x #t 'y #t))
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]}
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@defproc[(update-function-form->update-function/01 [func UpdateFunctionForm])
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(UpdateFunction (U Zero One))]{
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Like @racket[update-function-form->update-function/01], but the resulting
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function operates on Boolean states, with the domain @tt{{0,1}}.
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@ex[
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(define and-from-form/01 (update-function-form->update-function/01 '(min x y)))
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(and-from-form/01 (hash 'x 0 'y 0))
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(and-from-form/01 (hash 'x 0 'y 1))
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(and-from-form/01 (hash 'x 1 'y 0))
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(and-from-form/01 (hash 'x 1 'y 1))
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]}
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@defproc[(network-form->network/any [nf (NetworkForm Any)]) (Network Any)]{
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Builds a network from a network form.
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@ex[
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(network-form->network/any
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(network-form (hash 'a '(and a b)
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'b '(not b))
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(hash 'a '(#f #t)
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'b '(#f #t))))
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]}
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@defproc[(network-form->network/boolean [nf (NetworkForm Boolean)]) (Network Boolean)]{
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Like @racket[network-form->network/any], but builds a Boolean network.
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@ex[
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(network-form->network/boolean
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(network-form (hash 'a '(and a b)
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'b '(not b))
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(hash 'a '(#f #t)
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'b '(#f #t))))
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]}
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@defproc[(network-form->network/01 [nf (NetworkForm (U Zero One))]) (Network (U Zero One))]{
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Like @racket[network-form->network/any], but builds a Boolean network, whose
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domains are expressed as @tt{{0,1}}.
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@ex[
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(network-form->network/01
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(network-form (hash 'a '(min a b)
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'b '(- 1 b))
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(hash 'a '(0 1)
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'b '(0 1))))
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]}
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@defproc[(make-boolean-network-form [forms (VariableMapping UpdateFunctionForm)])
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(NetworkForm Boolean)]{
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Build a Boolean network form from a given mapping assigning forms to variables.
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@ex[
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(make-boolean-network-form (hash 'a '(and a b)
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'b '(not b)))
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]}
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@defproc[(forms->boolean-network [forms (VariableMapping UpdateFunctionForm)])
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(Network Boolean)]{
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Build a Boolean network from a given mapping assigning forms to variables.
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@ex[
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(forms->boolean-network (hash 'a '(and a b)
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'b '(not b)))
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]}
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@section{Dynamics of networks}
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This section contains definitions for building and analysing the dynamics
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of networks.
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@defproc[(build-all-states [vars-domains (DomainMapping a)])
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(Listof (State a))]{
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Given a @racket[DomainMapping], constructs the list of all possible states.
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@ex[
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(build-all-states (make-boolean-domains '(a b)))
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]}
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@defproc[(build-all-boolean-states [vars (Listof Variable)])
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(Listof (State Boolean))]{
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Builds all Boolean states over a given list of variables.
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@ex[
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(build-all-boolean-states '(a b))
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]}
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@defproc[(build-all-01-states [vars (Listof Variable)])
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(Listof (State Boolean))]{
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Builds all Boolean states over a given set of variables, but with the Boolean
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values represented as 0 and 1.
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@ex[
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(build-all-01-states '(a b))
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]}
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@deftype[Modality]{
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A modality is a set of variables. This is a synonym of @racket[(Setof
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Variable)].
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}
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@deftype[Mode]{
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A mode is a set of modalities. This is a synonym of @racket[(Setof Modality)].
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}
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@section{Inferring interaction graphs}
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This section provides inference of both unsigned and signed interaction graphs.
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Since the inference of signed interaction graphs is based on analysing the
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dynamics of the networks, it may be quite resource-consuming, especially since
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any syntactic forms are allowed in the definitions of the functions.
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We use the term @emph{syntactic interaction graph} to refer to the graph in
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which the presence of an arc from @tt{x} to @tt{y} is based on whether @tt{x}
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appears in the form of @tt{y}. This is quite different from the canonical
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definition of the @emph{interaction graph}, in which the arc from @tt{x} to
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@tt{y} represents the fact that a change in the value of @tt{x} may lead to
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a change in the value of @tt{y}. Thus the syntactic interaction graph may have
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extra arcs if @tt{x} appears in the form of @tt{y}, but has no actual influence
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on @tt{y}.
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@defproc[(list-syntactic-interactions [nf (NetworkForm a)]
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[x Variable])
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(Listof Variable)]{
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Lists the variables of the network form appearing in the update function form
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for @racket[x].
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The variables which are not part of the network are excluded from the listing.
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@ex[
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(list-syntactic-interactions
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(make-boolean-network-form #hash((a . (+ a b))
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(b . (- b))))
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'a)
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(list-syntactic-interactions
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(make-boolean-network-form #hash((a . (+ a b c))
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(b . (- b c))))
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'a)
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]}
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@defproc[(build-syntactic-interaction-graph [n (NetworkForm a)])
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Graph]{
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Builds the graph in which the vertices are the variables of a given network,
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and which contains an arrow from @racket[x] to @racket[y] whenever @racket[x]
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appears in @racket[(list-interactions y)].
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@ex[
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(require (only-in "utils.rkt" dotit))
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(dotit (build-syntactic-interaction-graph
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(make-boolean-network-form #hash((a . (+ a b))
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(b . (- b))))))
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]}
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@defproc[(interaction? [network (Network a)]
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[x Variable]
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[y Variable])
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Boolean]{
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Given two variables @racket[x] and @racket[y] of a @racket[network], verifies
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if they interact, i.e. that there exists a pair of states @italic{s} and
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@italic{s'} with the following properties:
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@itemlist[
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@item{@italic{s} and @italic{s'} only differ in the value of @racket[x];}
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@item{running the network from @italic{s} and @italic{s'} yields different
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values for @racket[y].}
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]
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@ex[
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(let ([bn (forms->boolean-network #hash((a . (and a b))
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(b . (not b))))])
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(values (interaction? bn 'a 'b)
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(interaction? bn 'b 'a)))
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]}
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@defproc[(get-interaction-sign [network (Network a)]
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[x Variable]
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[y Variable])
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(Option Integer)]{
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Given two variables @racket[x] and @racket[y] of @racket[network], checks
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whether they interact, and if they interact, returns 1 if increasing @racket[x]
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leads to an increase in @racket[y], -1 if it leads to a decrease in @racket[y],
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and 0 if it can lead to both. If @racket[x] has no impact on @racket[y], returns @racket[#f].
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The values in the domains are ordered according to the order in which they are
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listed in @racket[network].
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Since @racket[get-interaction-sign] needs to check all possible interactions
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between @racket[x] and @racket[y], it is more costly than calling
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@racket[interaction?].
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@ex[
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(let ([bn (forms->boolean-network #hash((a . (and a b))
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(b . (not b))))])
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(values (get-interaction-sign bn 'a 'b)
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(get-interaction-sign bn 'b 'a)
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(get-interaction-sign bn 'b 'b)))
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]}
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@defproc[(build-interaction-graph [network (Network a)]) Graph]{
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Given a network, builds its interaction graph. The graph has variables as
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nodes and has a directed edge from @italic{x} to @italic{y} if
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@racket[interaction?] returns @racket[#t] for these variables, in this order.
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@ex[
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(dotit (build-interaction-graph
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(forms->boolean-network #hash((a . (and a b))
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(b . (not b))))))
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]}
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@defproc[(build-interaction-graph/form [nf (NetworkForm a)]) Graph]{
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Like @racket[build-interaction-graph], but accepts a network form and
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converts it a to @racket[(Network a)] first.
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@ex[
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(dotit (build-interaction-graph/form
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(make-boolean-network-form #hash((a . (and a b))
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(b . (not b))))))
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]}
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@defproc[(build-signed-interaction-graph [network (Network a)]) Graph]{
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Given a network, builds its signed interaction graph. The graph has variables
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as nodes and has a directed edge from @italic{x} to @racket{y} labelled by the
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value @racket[get-interaction-sign] produces for these variables, in that
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order, unless this value is @racket[#f].
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@ex[
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(dotit (build-signed-interaction-graph
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(forms->boolean-network #hash((a . (and a b))
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(b . (not b))))))
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]}
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@defproc[(build-signed-interaction-graph/form [nf (NetworkForm a)]) Graph]{
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Like @racket[build-signed-interaction-graph], but takes a network form and
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converts it to a network.
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@ex[
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(dotit (build-signed-interaction-graph/form
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(make-boolean-network-form #hash((a . (and a b))
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(b . (not b))))))
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]}
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@section{Tabulating functions and networks}
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@section{Constructing functions and networks}
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@section{Random functions and networks}
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@section{TBF/TBN and SBF/SBN}
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This section defines threshold Boolean functions (TBF) and networks (TBN), as
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well as sign Boolean functions (SBF) and networks (SBN).
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