[5] | 1 | // This file is a part of Framsticks GDK library. |
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| 2 | // Copyright (C) 2002-2006 Szymon Ulatowski. See LICENSE.txt for details. |
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| 3 | // Refer to http://www.frams.alife.pl/ for further information. |
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| 4 | |
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| 5 | #ifndef _CONV_F1_H |
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| 6 | #define _CONV_F1_H |
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| 7 | |
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| 8 | #include "genoconv.h" |
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| 9 | #include "model.h" |
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| 10 | |
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| 11 | struct F1Props |
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| 12 | { |
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| 13 | double dlug,skr,masa,tarcie,ruch,asym,odpor,wchl,rot,energ; |
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| 14 | double bendrange; |
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| 15 | int resetrange; |
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| 16 | void wykluczanie(); |
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| 17 | }; |
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| 18 | |
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| 19 | /** |
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| 20 | Official framsticks f1 -> f0 converter. |
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| 21 | Source code is published as educational example, but currently not |
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| 22 | well documented. |
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| 23 | This converter features building creature using Model class |
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| 24 | and some advanced tricks (changing model data during construction). |
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| 25 | Final f0 genotype is generated by model class. |
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| 26 | |
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| 27 | <b>GDK 1.0.5 NN extension: (for Framsticks 2.0)</B> |
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| 28 | |
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| 29 | Until now, only the "standard" Framsticks v1 neuron classes could be used. |
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| 30 | Starting with GDK 1.0.5 you can use all neuron types. |
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| 31 | |
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| 32 | \b Syntax: [classname , input_or_parameter:weight , input_or_parameter:weight , ...] |
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| 33 | |
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| 34 | The classname is optional, the default class will be used if it is omitted. |
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| 35 | Note the comma after \b classname. It must be present if you provide the classname. |
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| 36 | This is to distinguish between old muscle syntax and new classname specification: |
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| 37 | - "[|,0:1]" is the neuron of class "|" (bend muscle) with one self connection. |
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| 38 | \image html nn-ex1.gif |
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| 39 | - "[|0:1]" describes the default neuron class (N) connected with the bend muscle (|). |
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| 40 | \image html nn-ex2.gif |
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| 41 | |
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| 42 | |
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| 43 | Neuron parameters can be specified along with inputs, eg: "[myclass,param1:34,param2:56]" |
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| 44 | The names beginning with UPPER case character are assumed to be neuron classes. |
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| 45 | "[myclass,g:1.23,G:2.34]" - the first 'g' is the parameter, the second one is the receptor |
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| 46 | G ("gyroscope"). |
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| 47 | |
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| 48 | Another example: |
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| 49 | |
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| 50 | "X[G][-1:2.3][-2:3.4]" - The first neuron is the standalone G receptor. Other neuron can use its output |
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| 51 | signal by specifying it as regular input ("-1:2.3" and "-2:3.4"). This NN contains 3 neurons. |
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| 52 | \image html nn-ex3.gif |
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| 53 | |
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| 54 | "X[G:2.3][G:3.4]" - with the old syntax it is impossible to connect 2 neurons with the same gyroscope, |
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| 55 | because everything inside brackets is private to the neuron, others can't refer to it. |
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| 56 | Adding another neuron with "G" input will add another gyroscope object. This NN contains 4 neurons |
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| 57 | (or 2 neurons if you try it in Framsticks v1). |
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| 58 | \image html nn-ex4.gif |
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| 59 | |
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| 60 | */ |
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| 61 | class GenoConv_F1: public GenoConverter |
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| 62 | { |
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| 63 | public: |
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| 64 | GenoConv_F1() |
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| 65 | { |
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| 66 | name="f1 converter"; |
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| 67 | in_format='1'; |
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| 68 | mapsupport=1; |
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| 69 | info="Original Framsticks genotype format"; |
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| 70 | } |
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| 71 | SString convert(SString &i,MultiMap *map); |
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| 72 | ~GenoConv_F1() {} |
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| 73 | }; |
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| 74 | |
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| 75 | |
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| 76 | #endif |
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| 77 | |
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| 78 | |
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| 79 | |
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| 80 | |
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| 81 | |
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