source: cpp/gdk/f0.def @ 69

Last change on this file since 69 was 69, checked in by sz, 13 years ago

removed unnecessary files. all GDK samples can be built again (including neurotest). TODO: add #define GDK_WITHOUT_FRAMS to all VS projects! Note: read Makefile before syncing frams<->GDK!

  • Property svn:eol-style set to native
File size: 8.7 KB
Line 
1CLASS(Part,f0_part,p)
2GROUP(Geometry)
3GROUP(Other properties)
4GROUP(Visual)
5PROP(x,0,1024,position.x,f,,,,p.x)
6PROP(y,0,1024,position.y,f,,,,p.y)
7PROP(z,0,1024,position.z,f,,,,p.z)
8XPROP(m,1,0,mass,f,0.1,999.0,1.0,mass)
9PROP(s,1,0,size,f,0.1,10.0,1.0,size)
10XPROP(dn,1,0,density,f,0.2,5.0,1.0,density)
11XPROP(fr,1,0,friction,f,0.0,4.0,0.4,friction)
12XPROP(ing,1,0,ingestion,f,0.0,1.0,0.25,ingest)
13XPROP(as,1,0,assimilation,f,0.0,1.0,0.25,assim)
14PROP(rx,0,0,rot.x,f,,,,rot.x)
15PROP(ry,0,1024,rot.y,f,,,,rot.y)
16PROP(rz,0,1024,rot.z,f,,,,rot.z)
17PROP(i,1,0,`info',s,,,,info)
18PROP(Vstyle,2,0,vis_style,s,0,-1,part,vis_style)
19ENDCLASS
20
21CLASS(Joint,f0_joint,j)
22GROUP(Connections)
23GROUP(Geometry)
24GROUP(Other properties)
25GROUP(Visual)
26PROP(p1,0,1024,`part1 ref#',d,-1,999999,-1,p1_refno)
27PROP(p2,0,1024,`part2 ref#',d,-1,999999,-1,p2_refno)
28PROP(rx,1,0,rotation.x,f,,,,rot.x)
29PROP(ry,1,1024,rotation.y,f,,,,rot.y)
30PROP(rz,1,1024,rotation.z,f,,,,rot.z)
31PROP(dx,1,0,delta.x,f,-2,2,0,d.x)
32PROP(dy,1,1024,delta.y,f,-2,2,0,d.y)
33PROP(dz,1,1024,delta.z,f,-2,2,0,d.z)
34XPROP(stif,2,0,stiffness,f,0.0,1.0,1.0,stif)
35XPROP(rotstif,2,0,rotation stiffness,f,0.0,1.0,1.0,rotstif)
36PROP(stam,2,0,stamina,f,0.0,1.0,0.25,stamina)
37PROP(i,2,0,`info',s,,,,info)
38PROP(Vstyle,3,0,vis_style,s,0,-1,joint,vis_style)
39ENDCLASS
40
41CLASS(Joint,f0_nodeltajoint,j,NOXML)
42GROUP(Connections)
43GROUP(Geometry)
44GROUP(Other properties)
45GROUP(Visual)
46PROP(p1,0,1024,`part1 ref#',d,-1,999999,-1,p1_refno)
47PROP(p2,0,1024,`part2 ref#',d,-1,999999,-1,p2_refno)
48XPROP(stif,2,0,stiffness,f,0.0,1.0,1.0,stif)
49XPROP(rotstif,2,0,rotation stiffness,f,0.0,1.0,1.0,rotstif)
50PROP(stam,2,0,stamina,f,0.0,1.0,0.25,stamina)
51PROP(i,2,0,`info',s,,,,info)
52PROP(Vstyle,3,0,vis_style,s,0,-1,joint,vis_style)
53ENDCLASS
54
55CLASS(Neuro,f0_neuro,n)
56GROUP(Connections)
57GROUP(Other)
58GROUP(Visual)
59PROP(p,0,0,`part ref#',d,-1,999999,-1,part_refno)
60PROP(j,0,0,`joint ref#',d,-1,999999,-1,joint_refno)
61PROP(d,1,0,item details,s,,,,details,GETSET)
62PROP(i,1,0,`info',s,,,,info)
63PROP(Vstyle,2,0,vis_style,s,0,-1,neuro,vis_style)
64PROP(getInputCount,0,1+2,`input count',d,,,,inputCount,GETONLY)
65PROP(getInputNeuroDef,0,1+2,`get input neuron',p oNeuroDef(d),,,,p_getInputNeuroDef,PROCEDURE)
66PROP(getInputNeuroIndex,0,1+2,`get input neuron index',p d(d),,,,p_getInputNeuroIndex,PROCEDURE)
67PROP(getInputWeight,0,1+2,`get input weight',p f(d),,,,p_getInputWeight,PROCEDURE)
68PROP(classObject,0,1+2,`neuron class',o NeuroClass,,,,classObject,GETONLY)
69ENDCLASS
70
71CLASS(NeuroConn,f0_neuroconn,c)
72GROUP(Connection)
73GROUP(Other)
74PROP(n1,0,1024,`this neuro ref#',d,-1,999999,-1,n1_refno)
75PROP(n2,0,1024,`connected neuro ref#',d,-1,999999,-1,n2_refno)
76PROP(w,0,1024,weight,f,-999999,999999,1.0,weight)
77PROP(i,1,0,`info',s,,,,info)
78ENDCLASS
79
80NEUROCLASS(StdNeuron,N,Neuron,`Standard neuron',-1,1,0)
81VISUALHINTS(DontShowClass)
82NEUROPROP(in,1,0,Inertia,f,0.0,1.0,0.8,inertia)
83NEUROPROP(fo,1,0,Force,f,0.0,999.0,0.04,force)
84NEUROPROP(si,1,0,Sigmoid,f,-99999.0,99999.0,2.0,sigmo)
85NEUROPROP(s,2,0,State,f,-1.0,1.0,0.0,newstate)
86ENDNEUROCLASS
87
88NEUROCLASS(StdUNeuron,Nu,`Unipolar neuron [EXPERIMENTAL!]',`Works like standard neuron (N) but the output value is scaled to 0...+1 instead of -1...+1.\nHaving 0 as one of the saturation states should help in \"gate circuits\", where input signal is passed through or blocked depending on the other singal.',-1,1,0)
89NEUROPROP(in,1,0,Inertia,f,0.0,1.0,0.8,inertia)
90NEUROPROP(fo,1,0,Force,f,0.0,999.0,0.04,force)
91NEUROPROP(si,1,0,Sigmoid,f,-99999.0,99999.0,2.0,sigmo)
92NEUROPROP(s,2,0,State,f,-1.0,1.0,0.0,newstate)
93ENDNEUROCLASS
94
95NEUROCLASS(Gyro,G,Gyroscope,`Equilibrium sensor.\n0=the stick is horizontal\n+1/-1=the stick is vertical',0,1,2)
96VISUALHINTS(ReceptorClass)
97SYMBOL(`8,7,100,50,90,50,90,40,70,40,80,50,70,60,90,60,90,50,12,43,24,48,24,48,19,38,19,38,24,43,24,43,54,48,54,48,64,43,69,38,64,38,54,43,54,5,63,69,58,74,48,79,38,79,28,74,23,69,1,43,79,43,74,1,23,69,26,66,1,63,69,60,66,1,55,76,53,73,1,31,75,33,72')
98ENDNEUROCLASS
99
100NEUROCLASS(Touch,T,Touch,`Touch sensor.\n-1=no contact\n0=just touching\n>0=pressing, value depends on the force applied',0,1,1)
101VISUALHINTS(ReceptorClass)
102SYMBOL(`2,7,100,50,90,50,90,40,70,40,80,50,70,60,90,60,90,50,11,75,50,65,50,60,55,55,45,50,55,45,45,40,50,35,50,30,45,25,50,30,55,35,50')
103NEUROPROP(r,1,0,Range,f,0.0,1.0,1.0,range)
104ENDNEUROCLASS
105
106NEUROCLASS(Smell,S,Smell,`Smell sensor. Aggregated \"smell of energy\" experienced from all energy objects (creatures and food pieces).\nClose objects have bigger influence than the distant ones: for each energy source, its partial feeling is proportional to its energy/(distance^2)',0,1,1)
107VISUALHINTS(ReceptorClass)
108SYMBOL(`5,7,100,50,90,50,90,40,70,40,80,50,70,60,90,60,90,50,3,10,40,15,45,15,55,10,60,5,20,30,25,35,30,45,30,55,25,65,20,70,4,15,35,20,40,22,50,20,60,15,65,5,75,50,50,50,45,45,40,50,45,55,50,50')
109ENDNEUROCLASS
110
111NEUROCLASS(Const,*,Constant,Constant value,0,1,0)
112VISUALHINTS(Invisible)
113SYMBOL(`4,4,26,27,26,73,73,73,73,27,26,27,1,73,50,100,50,1,56,68,46,68,2,41,47,51,32,51,68')
114ENDNEUROCLASS
115
116NEUROCLASS(BendMuscle,|,Bend muscle,,1,0,2)
117VISUALHINTS(DontShowClass+EffectorClass+V1BendMuscle+AtFirstPart)
118SYMBOL(`6,5,25,40,35,40,45,50,35,60,25,60,25,40,4,65,85,65,50,75,50,75,85,65,85,3,65,56,49,29,57,24,72,50,4,68,53,70,53,70,55,68,55,68,53,5,50,21,60,15,70,14,79,15,87,20,81,10,1,86,20,77,21')
119NEUROPROP(p,0,0,power,f,0.01,1.0,0.25,power)
120NEUROPROP(r,0,0,bending range,f,0.0,1.0,1.0,bendrange)
121ENDNEUROCLASS
122
123NEUROCLASS(RotMuscle,@,Rotation muscle,,1,0,2)
124VISUALHINTS(DontShowClass+EffectorClass+V1RotMuscle+AtFirstPart)
125SYMBOL(`5,5,25,40,35,40,45,50,35,60,25,60,25,40,4,65,85,65,50,75,50,75,85,65,85,1,69,10,77,17,10,59,15,57,17,57,22,60,26,69,27,78,26,82,21,82,16,79,12,69,10,80,6,3,65,50,65,20,75,20,75,50')
126NEUROPROP(p,0,0,power,f,0.01,1.0,1.0,power)
127ENDNEUROCLASS
128
129NEUROCLASS(Diff,D,Differentiate,Calculate the difference between the current and previous input value. Multiple inputs are aggregated with respect to their weights,-1,1,0)
130SYMBOL(`3,3,25,0,25,100,75,50,25,0,1,75,50,100,50,3,44,42,51,57,36,57,44,42')
131ENDNEUROCLASS
132
133NEUROCLASS(FuzzyNeuro,Fuzzy,Fuzzy system [EXPERIMENTAL!],Refer to publications to learn more about this neuron.,-1,1,0)
134SYMBOL(`5,2,30,65,37,37,44,65,3,37,65,44,37,51,37,58,65,2,51,65,58,37,65,65,6,100,50,70,50,70,25,25,10,25,90,70,75,70,50,1,70,65,25,65')
135NEUROPROP(ns,0,0,number of fuzzy sets,d,1,,,fuzzySetsNr)
136NEUROPROP(nr,0,0,number of rules,d,1,,,rulesNr)
137NEUROPROP(fs,0,0,fuzzy sets,s,0,-1,0,fuzzySetString)
138NEUROPROP(fr,0,0,fuzzy rules,s,0,-1,0,fuzzyRulesString)
139ENDNEUROCLASS
140
141NEUROCLASS(Sticky,Sti,Sticky [EXPERIMENTAL!],,1,0,1)
142VISUALHINTS(EffectorClass)
143ENDNEUROCLASS
144
145NEUROCLASS(LinearMuscle,LMu,Linear muscle [EXPERIMENTAL!],,1,0,2)
146VISUALHINTS(EffectorClass)
147NEUROPROP(p,0,0,power,f,0.01,1.0,1.0,power)
148ENDNEUROCLASS
149
150NEUROCLASS(WaterDetect,Water,Water detector,`Output signal:\n0=on or above water surface\n1=under water (deeper than 1)\n0..1=in the transient area just below water surface',0,1,1)
151VISUALHINTS(ReceptorClass)
152ENDNEUROCLASS
153
154NEUROCLASS(Energy,Energy,Energy level,`The current energy level divided by the initial energy level.\nUsually falls from initial 1.0 down to 0.0 and then the creature dies. It can rise above 1.0 if enough food is ingested',0,1,0)
155VISUALHINTS(ReceptorClass)
156ENDNEUROCLASS
157
158NEUROCLASS(Channelize,Ch,Channelize,`Combines all input signals into a single multichannel output; Note: ChSel and ChMux are the only neurons which support multiple channels. Other neurons discard everything except the first channel.',-1,1,0)
159SYMBOL(`10,4,25,0,25,100,75,70,75,30,25,0,1,75,50,100,50,1,70,50,55,50,1,30,80,55,50,1,30,20,55,50,1,30,35,55,50,1,30,45,55,50,1,30,55,55,50,1,61,53,65,47,1,30,65,55,50')
160ENDNEUROCLASS
161
162NEUROCLASS(ChMux,ChMux,Channel multiplexer,`Outputs the selected channel from the second (multichannel) input. The first input is used as the selector value (-1=select first channel, .., 1=last channel)',2,1,0)
163SYMBOL(`7,4,25,0,25,100,75,70,75,30,25,0,1,75,50,100,50,1,70,50,55,50,3,50,55,55,50,50,45,50,55,3,30,67,45,67,45,50,50,50,1,35,70,39,64,2,30,33,53,33,53,48')
164ENDNEUROCLASS
165
166NEUROCLASS(ChSel,ChSel,Channel selector,`Outputs a single channel (selected by the \"ch\" parameter) from multichannel input',1,1,0)
167SYMBOL(`6,4,25,0,25,100,75,70,75,30,25,0,1,75,50,100,50,1,70,50,55,50,3,50,55,55,50,50,45,50,55,1,30,50,50,50,1,35,53,39,47')
168NEUROPROP(ch,0,0,channel,d,,,,ch)
169ENDNEUROCLASS
170
171NEUROCLASS(Random,Rnd,Random noise,`Generates random noise (subsequent random values in the range of -1..+1)',0,1,0)
172ENDNEUROCLASS
173
174NEUROCLASS(Sinus,Sin,Sinus generator,`Output frequency = f0+input',1,1,0)
175SYMBOL(`3,12,75,50,71,37,62,28,50,25,37,28,28,37,25,50,28,62,37,71,50,75,62,71,71,62,75,50,1,75,50,100,50,5,35,50,40,35,45,35,55,65,60,65,65,50')
176NEUROPROP(f0,0,0,base frequency,f,-1.0,1.0,0.06283185307,f0)
177NEUROPROP(t,0,0,time,f,0,6.283185307,0,t)
178ENDNEUROCLASS
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