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Macula TWEANN - Topology and Weight Evolving Artificial Neural Networks

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macula_tweann src morphology_behaviour.erl
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src/morphology_behaviour.erl 

%% @doc Behaviour for implementing morphologies (sensor/actuator specifications).

%%

%% A morphology defines the I/O interface between a neural network and its environment.

%% Applications implement this behaviour to create custom morphologies without modifying

%% the macula-tweann library.

%%

%% Example Implementation:

%%

%% -module(my_morphology).

%% -behaviour(morphology_behaviour).

%%

%% -export([get_sensors/1, get_actuators/1]).

%% -include("records.hrl").

%%

%% get_sensors(my_problem) ->

%%     [#sensor{name = my_sensor, vl = 3, ...}];

%% get_sensors(_) ->

%%     error(invalid_morphology).

%%

%% get_actuators(my_problem) ->

%%     [#actuator{name = my_actuator, vl = 2, ...}];

%% get_actuators(_) ->

%%     error(invalid_morphology).

%%

%% Then register at runtime:

%%

%% morphology_registry:register(my_problem, my_morphology).

%%

%% @author Macula.io

%% @copyright 2025 Macula.io, Apache-2.0

-module(morphology_behaviour).



-include("records.hrl").



%% Behaviour callbacks

-callback get_sensors(MorphologyName :: atom()) -> [#sensor{}].

-callback get_actuators(MorphologyName :: atom()) -> [#actuator{}].