source: cpp/frams/config/f0-GDK.def @ 197

Last change on this file since 197 was 187, checked in by sz, 9 years ago

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1CLASS(Model,f0_model,m)
2GROUP(Properties)
3GROUP(Visual)
4PROP(se,0,1024,startenergy,f,,,,startenergy)
5PROP(Vstyle,1,0,vis_style,s,0,-1,,vis_style)
6ENDCLASS
7
8CLASS(Part,f0_part,p)
9GROUP(Geometry)
10GROUP(Other properties)
11GROUP(Visual)
12PROP(x,0,1024,position.x,f,,,,p.x)
13PROP(y,0,1024,position.y,f,,,,p.y)
14PROP(z,0,1024,position.z,f,,,,p.z)
15XPROP(m,1,0,mass,f,0.1,999.0,1.0,mass)
16PROP(sh,1,0,shape,d,0,3,0,shape)
17PROP(s,1,0,size,f,0.1,10.0,1.0,size)
18PROP(sx,1,0,scale.x,f,0.001,1000.0,1.0,scale.x)
19PROP(sy,1,0,scale.y,f,0.001,1000.0,1.0,scale.y)
20PROP(sz,1,0,scale.z,f,0.001,1000.0,1.0,scale.z)
21XPROP(dn,1,0,density,f,0.2,5.0,1.0,density)
22XPROP(fr,1,0,friction,f,0.0,4.0,0.4,friction)
23XPROP(ing,1,0,ingestion,f,0.0,1.0,0.25,ingest)
24XPROP(as,1,0,assimilation,f,0.0,1.0,0.25,assim)
25PROP(rx,0,0,rot.x,f,,,,rot.x)
26PROP(ry,0,1024,rot.y,f,,,,rot.y)
27PROP(rz,0,1024,rot.z,f,,,,rot.z)
28PROP(i,1,0,`info',s,,,,info)
29PROP(Vstyle,2,0,vis_style,s,0,-1,part,vis_style)
30XPROP(vs,2,0,visual thickness,f,0.05,0.7,0.2,vsize)
31XPROP(vr,2,0,red component,f,0.0,1.0,0.5,vcolor.x)
32XPROP(vg,2,1024,green component,f,0.0,1.0,0.5,vcolor.y)
33XPROP(vb,2,1024,blue component,f,0.0,1.0,0.5,vcolor.z)
34ENDCLASS
35
36CLASS(Joint,f0_joint,j)
37GROUP(Connections)
38GROUP(Geometry)
39GROUP(Other properties)
40GROUP(Visual)
41PROP(p1,0,1024,`part1 ref#',d,-1,999999,-1,p1_refno)
42PROP(p2,0,1024,`part2 ref#',d,-1,999999,-1,p2_refno)
43PROP(rx,1,0,rotation.x,f,,,,rot.x)
44PROP(ry,1,1024,rotation.y,f,,,,rot.y)
45PROP(rz,1,1024,rotation.z,f,,,,rot.z)
46PROP(dx,1,0,delta.x,f,-2,2,0,d.x)
47PROP(dy,1,1024,delta.y,f,-2,2,0,d.y)
48PROP(dz,1,1024,delta.z,f,-2,2,0,d.z)
49PROP(sh,1,0,shape,d,0,1,0,shape)
50XPROP(stif,2,0,stiffness,f,0.0,1.0,1.0,stif)
51XPROP(rotstif,2,0,rotation stiffness,f,0.0,1.0,1.0,rotstif)
52PROP(stam,2,0,stamina,f,0.0,1.0,0.25,stamina)
53PROP(i,2,0,`info',s,,,,info)
54PROP(Vstyle,3,0,vis_style,s,0,-1,joint,vis_style)
55XPROP(vr,3,0,red component,f,0.0,1.0,0.5,vcolor.x)
56XPROP(vg,3,1024,green component,f,0.0,1.0,0.5,vcolor.y)
57XPROP(vb,3,1024,blue component,f,0.0,1.0,0.5,vcolor.z)
58ENDCLASS
59
60CLASS(Joint,f0_nodeltajoint,j,NOXML)
61GROUP(Connections)
62GROUP(Geometry)
63GROUP(Other properties)
64GROUP(Visual)
65PROP(p1,0,1024,`part1 ref#',d,-1,999999,-1,p1_refno)
66PROP(p2,0,1024,`part2 ref#',d,-1,999999,-1,p2_refno)
67PROP(sh,1,0,shape,d,0,1,0,shape)
68XPROP(stif,2,0,stiffness,f,0.0,1.0,1.0,stif)
69XPROP(rotstif,2,0,rotation stiffness,f,0.0,1.0,1.0,rotstif)
70PROP(stam,2,0,stamina,f,0.0,1.0,0.25,stamina)
71PROP(i,2,0,`info',s,,,,info)
72PROP(Vstyle,3,0,vis_style,s,0,-1,joint,vis_style)
73XPROP(vr,3,0,red component,f,0.0,1.0,0.5,vcolor.x)
74XPROP(vg,3,1024,green component,f,0.0,1.0,0.5,vcolor.y)
75XPROP(vb,3,1024,blue component,f,0.0,1.0,0.5,vcolor.z)
76ENDCLASS
77
78CLASS(Neuro,f0_neuro,n)
79GROUP(Connections)
80GROUP(Other)
81GROUP(Visual)
82PROP(p,0,0,`part ref#',d,-1,999999,-1,part_refno)
83PROP(j,0,0,`joint ref#',d,-1,999999,-1,joint_refno)
84PROP(d,1,0,item details,s,,,N,details,GETSET)
85PROP(i,1,0,`info',s,,,,info)
86PROP(Vstyle,2,0,vis_style,s,0,-1,neuro,vis_style)
87PROP(getInputCount,0,1+2,`input count',d,,,,inputCount,GETONLY)
88PROP(getInputNeuroDef,0,1+2,`get input neuron',p oNeuroDef(d),,,,p_getInputNeuroDef,PROCEDURE)
89PROP(getInputNeuroIndex,0,1+2,`get input neuron index',p d(d),,,,p_getInputNeuroIndex,PROCEDURE)
90PROP(getInputWeight,0,1+2,`get input weight',p f(d),,,,p_getInputWeight,PROCEDURE)
91PROP(classObject,0,1+2,`neuron class',o NeuroClass,,,,classObject,GETONLY)
92ENDCLASS
93
94CLASS(NeuroConn,f0_neuroconn,c)
95GROUP(Connection)
96GROUP(Other)
97PROP(n1,0,1024,`this neuro ref#',d,-1,999999,-1,n1_refno)
98PROP(n2,0,1024,`connected neuro ref#',d,-1,999999,-1,n2_refno)
99PROP(w,0,1024,weight,f,-999999,999999,1.0,weight)
100PROP(i,1,0,`info',s,,,,info)
101ENDCLASS
102
103NEUROCLASS(StdNeuron,N,Neuron,`Standard neuron',-1,1,0)
104VISUALHINTS(DontShowClass)
105NEUROPROP(in,1,0,Inertia,f,0.0,1.0,0.8,inertia)
106NEUROPROP(fo,1,0,Force,f,0.0,999.0,0.04,force)
107NEUROPROP(si,1,0,Sigmoid,f,-99999.0,99999.0,2.0,sigmo)
108NEUROPROP(s,2,0,State,f,-1.0,1.0,0.0,newstate)
109ENDNEUROCLASS
110
111NEUROCLASS(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)
112NEUROPROP(in,1,0,Inertia,f,0.0,1.0,0.8,inertia)
113NEUROPROP(fo,1,0,Force,f,0.0,999.0,0.04,force)
114NEUROPROP(si,1,0,Sigmoid,f,-99999.0,99999.0,2.0,sigmo)
115NEUROPROP(s,2,0,State,f,-1.0,1.0,0.0,newstate)
116ENDNEUROCLASS
117
118NEUROCLASS(Gyro,G,Gyroscope,`Equilibrium sensor.\n0=the stick is horizontal\n+1/-1=the stick is vertical',0,1,2)
119VISUALHINTS(ReceptorClass)
120SYMBOL(`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')
121ENDNEUROCLASS
122
123NEUROCLASS(Touch,T,Touch,`Touch sensor.\n-1=no contact\n0=just touching\n>0=pressing, value depends on the force applied',0,1,1)
124VISUALHINTS(ReceptorClass)
125SYMBOL(`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')
126NEUROPROP(r,1,0,Range,f,0.0,1.0,1.0,range)
127ENDNEUROCLASS
128
129NEUROCLASS(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)
130VISUALHINTS(ReceptorClass)
131SYMBOL(`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')
132ENDNEUROCLASS
133
134NEUROCLASS(Const,*,Constant,Constant value,0,1,0)
135VISUALHINTS(Invisible)
136SYMBOL(`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')
137ENDNEUROCLASS
138
139NEUROCLASS(BendMuscle,|,Bend muscle,,1,0,2)
140VISUALHINTS(DontShowClass+EffectorClass+V1BendMuscle+AtFirstPart)
141SYMBOL(`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')
142NEUROPROP(p,0,0,power,f,0.01,1.0,0.25,power)
143NEUROPROP(r,0,0,bending range,f,0.0,1.0,1.0,bendrange)
144ENDNEUROCLASS
145
146NEUROCLASS(RotMuscle,@,Rotation muscle,,1,0,2)
147VISUALHINTS(DontShowClass+EffectorClass+V1RotMuscle+AtFirstPart)
148SYMBOL(`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')
149NEUROPROP(p,0,0,power,f,0.01,1.0,1.0,power)
150ENDNEUROCLASS
151
152NEUROCLASS(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)
153SYMBOL(`3,3,25,0,25,100,75,50,25,0,1,75,50,100,50,3,44,42,51,57,36,57,44,42')
154ENDNEUROCLASS
155
156NEUROCLASS(FuzzyNeuro,Fuzzy,Fuzzy system [EXPERIMENTAL!],Refer to publications to learn more about this neuron.,-1,1,0)
157SYMBOL(`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')
158NEUROPROP(ns,0,0,number of fuzzy sets,d,1,,,fuzzySetsNr)
159NEUROPROP(nr,0,0,number of rules,d,1,,,rulesNr)
160NEUROPROP(fs,0,0,fuzzy sets,s,0,-1,0,fuzzySetString)
161NEUROPROP(fr,0,0,fuzzy rules,s,0,-1,0,fuzzyRulesString)
162ENDNEUROCLASS
163
164NEUROCLASS(Sticky,Sti,Sticky [EXPERIMENTAL!],,1,0,1)
165VISUALHINTS(EffectorClass)
166ENDNEUROCLASS
167
168NEUROCLASS(LinearMuscle,LMu,Linear muscle [EXPERIMENTAL!],,1,0,2)
169VISUALHINTS(EffectorClass)
170NEUROPROP(p,0,0,power,f,0.01,1.0,1.0,power)
171ENDNEUROCLASS
172
173NEUROCLASS(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)
174VISUALHINTS(ReceptorClass)
175ENDNEUROCLASS
176
177NEUROCLASS(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)
178VISUALHINTS(ReceptorClass)
179ENDNEUROCLASS
180
181NEUROCLASS(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)
182SYMBOL(`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')
183ENDNEUROCLASS
184
185NEUROCLASS(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)
186SYMBOL(`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')
187ENDNEUROCLASS
188
189NEUROCLASS(ChSel,ChSel,Channel selector,`Outputs a single channel (selected by the \"ch\" parameter) from multichannel input',1,1,0)
190SYMBOL(`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')
191NEUROPROP(ch,0,0,channel,d,,,,ch)
192ENDNEUROCLASS
193
194NEUROCLASS(Random,Rnd,Random noise,`Generates random noise (subsequent random values in the range of -1..+1)',0,1,0)
195ENDNEUROCLASS
196
197NEUROCLASS(Sinus,Sin,Sinus generator,`Output frequency = f0+input',1,1,0)
198SYMBOL(`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')
199NEUROPROP(f0,0,0,base frequency,f,-1.0,1.0,0.06283185307,f0)
200NEUROPROP(t,0,0,time,f,0,6.283185307,0,t)
201ENDNEUROCLASS
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