source: cpp/gdk/model.def @ 70

Last change on this file since 70 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: 9.4 KB
RevLine 
[66]1
2# f0 definition for Framsticks
3class:id=m,name="Model"
4prop:id=se,name="starting energy",group="x",flags=1024,type="f -999999 999999 0 "
5
6class:id=p,name="Part"
7
8
9
10prop:id=x,name="position.x",group="Geometry",flags=1024,type="f   "
11prop:id=y,name="position.y",group="Geometry",flags=1024,type="f   "
12prop:id=z,name="position.z",group="Geometry",flags=1024,type="f   "
13prop:id=m,xtra=1,name="mass",group="Other properties",flags=0,type="f 0.1 999.0 1.0"
14prop:id=s,name="size",group="Other properties",flags=0,type="f 0.1 10.0 1.0"
15prop:id=dn,xtra=1,name="density",group="Other properties",flags=0,type="f 0.2 5.0 1.0"
16prop:id=fr,xtra=1,name="friction",group="Other properties",flags=0,type="f 0.0 4.0 0.4"
17prop:id=ing,xtra=1,name="ingestion",group="Other properties",flags=0,type="f 0.0 1.0 0.25"
18prop:id=as,xtra=1,name="assimilation",group="Other properties",flags=0,type="f 0.0 1.0 0.25"
19prop:id=rx,name="rot.x",group="Geometry",flags=0,type="f   "
20prop:id=ry,name="rot.y",group="Geometry",flags=1024,type="f   "
21prop:id=rz,name="rot.z",group="Geometry",flags=1024,type="f   "
22prop:id=i,name="info",group="Other properties",flags=0,type="s   "
23prop:id=Vstyle,name="vis_style",group="Visual",flags=0,type="s 0 -1 part"
24
25
26class:id=j,name="Joint"
27
28
29
30
31prop:id=p1,name="part1 ref#",group="Connections",flags=1024,type="d -1 999999 -1"
32prop:id=p2,name="part2 ref#",group="Connections",flags=1024,type="d -1 999999 -1"
33prop:id=rx,name="rotation.x",group="Geometry",flags=0,type="f   "
34prop:id=ry,name="rotation.y",group="Geometry",flags=1024,type="f   "
35prop:id=rz,name="rotation.z",group="Geometry",flags=1024,type="f   "
36prop:id=dx,name="delta.x",group="Geometry",flags=0,type="f -2 2 0"
37prop:id=dy,name="delta.y",group="Geometry",flags=1024,type="f -2 2 0"
38prop:id=dz,name="delta.z",group="Geometry",flags=1024,type="f -2 2 0"
39prop:id=stif,xtra=1,name="stiffness",group="Other properties",flags=0,type="f 0.0 1.0 1.0"
40prop:id=rotstif,xtra=1,name="rotation stiffness",group="Other properties",flags=0,type="f 0.0 1.0 1.0"
41prop:id=stam,name="stamina",group="Other properties",flags=0,type="f 0.0 1.0 0.25"
42prop:id=i,name="info",group="Other properties",flags=0,type="s   "
43prop:id=Vstyle,name="vis_style",group="Visual",flags=0,type="s 0 -1 joint"
44
45
46
47
48class:id=n,name="Neuro"
49
50
51
52prop:id=p,name="part ref#",group="Connections",flags=0,type="d -1 999999 -1"
53prop:id=j,name="joint ref#",group="Connections",flags=0,type="d -1 999999 -1"
54prop:id=d,name="item details",group="Other",flags=0,type="s   "
55prop:id=i,name="info",group="Other",flags=0,type="s   "
56prop:id=Vstyle,name="vis_style",group="Visual",flags=0,type="s 0 -1 neuro"
57prop:id=getInputCount,name="input count",group="Connections",flags=1+2,type="d   "
58prop:id=getInputNeuroDef,name="get input neuron",group="Connections",flags=1+2,type="p oNeuroDef(d)   "
59prop:id=getInputNeuroIndex,name="get input neuron index",group="Connections",flags=1+2,type="p d(d)   "
60prop:id=getInputWeight,name="get input weight",group="Connections",flags=1+2,type="p f(d)   "
[69]61prop:id=classObject,name="neuron class",group="Connections",flags=1+2,type="o NeuroClass   "
[66]62
63
64class:id=c,name="NeuroConn"
65
66
67prop:id=n1,name="this neuro ref#",group="Connection",flags=1024,type="d -1 999999 -1"
68prop:id=n2,name="connected neuro ref#",group="Connection",flags=1024,type="d -1 999999 -1"
69prop:id=w,name="weight",group="Connection",flags=1024,type="f -999999 999999 1.0"
70prop:id=i,name="info",group="Other",flags=0,type="s   "
71
72
73neuro: id=N,name="Neuron",info="Standard neuron",inputs=-1,output=1,location=0  ,vhints=2
74
75prop:id=in,name="Inertia",type="f 0.0 1.0 0.8"
76prop:id=fo,name="Force",type="f 0.0 999.0 0.04"
77prop:id=si,name="Sigmoid",type="f -99999.0 99999.0 2.0"
78prop:id=s,name="State",type="f -1.0 1.0 0.0"
79
80
81neuro: id=Nu,name="Unipolar neuron [EXPERIMENTAL!]",info="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.",inputs=-1,output=1,location=0
82prop:id=in,name="Inertia",type="f 0.0 1.0 0.8"
83prop:id=fo,name="Force",type="f 0.0 999.0 0.04"
84prop:id=si,name="Sigmoid",type="f -99999.0 99999.0 2.0"
85prop:id=s,name="State",type="f -1.0 1.0 0.0"
86
87
88neuro: id=G,name="Gyroscope",info="Equilibrium sensor.\n0=the stick is horizontal\n+1/-1=the stick is vertical",inputs=0,output=1,location=2  ,vhints=32  ,symbol="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"
89
90
91
92
93neuro: id=T,name="Touch",info="Touch sensor.\n-1=no contact\n0=just touching\n>0=pressing, value depends on the force applied",inputs=0,output=1,location=1  ,vhints=32  ,symbol="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"
94
95
96prop:id=r,name="Range",type="f 0.0 1.0 1.0"
97
98
99neuro: id=S,name="Smell",info="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)",inputs=0,output=1,location=1  ,vhints=32  ,symbol="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"
100
101
102
103
[69]104neuro: id=*,name="Constant",info="Constant value",inputs=0,output=1,location=0  ,vhints=1  ,symbol="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"
[66]105
106
107
108
109neuro: id=|,name="Bend muscle",info="",inputs=1,output=0,location=2  ,vhints=86  ,symbol="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"
110
111
112prop:id=p,name="power",type="f 0.01 1.0 0.25"
113prop:id=r,name="bending range",type="f 0.0 1.0 1.0"
114
115
116neuro: id=@,name="Rotation muscle",info="",inputs=1,output=0,location=2  ,vhints=150  ,symbol="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"
117
118
119prop:id=p,name="power",type="f 0.01 1.0 1.0"
120
121
[69]122neuro: id=D,name="Differentiate",info="Calculate the difference between the current and previous input value. Multiple inputs are aggregated with respect to their weights",inputs=-1,output=1,location=0  ,symbol="3,3,25,0,25,100,75,50,25,0,1,75,50,100,50,3,44,42,51,57,36,57,44,42"
[66]123
124
125
[69]126neuro: id=Fuzzy,name="Fuzzy system [EXPERIMENTAL!]",info="Refer to publications to learn more about this neuron.",inputs=-1,output=1,location=0  ,symbol="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"
127
[66]128prop:id=ns,name="number of fuzzy sets",type="d 1  "
129prop:id=nr,name="number of rules",type="d 1  "
130prop:id=fs,name="fuzzy sets",type="s 0 -1 0"
131prop:id=fr,name="fuzzy rules",type="s 0 -1 0"
132
133
[69]134neuro: id=Sti,name="Sticky [EXPERIMENTAL!]",info="",inputs=1,output=0,location=1  ,vhints=16
[66]135
136
137
[69]138neuro: id=LMu,name="Linear muscle [EXPERIMENTAL!]",info="",inputs=1,output=0,location=2  ,vhints=16
[66]139
[69]140prop:id=p,name="power",type="f 0.01 1.0 1.0"
[66]141
142
[69]143neuro: id=Water,name="Water detector",info="Output signal:\n0=on or above water surface\n1=under water (deeper than 1)\n0..1=in the transient area just below water surface",inputs=0,output=1,location=1  ,vhints=32
[66]144
145
146
[69]147neuro: id=Energy,name="Energy level",info="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",inputs=0,output=1,location=0  ,vhints=32
[66]148
149
150
[69]151neuro: id=Ch,name="Channelize",info="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.",inputs=-1,output=1,location=0  ,symbol="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"
[66]152
153
154
[69]155neuro: id=ChMux,name="Channel multiplexer",info="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)",inputs=2,output=1,location=0  ,symbol="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"
[66]156
157
158
[69]159neuro: id=ChSel,name="Channel selector",info="Outputs a single channel (selected by the \"ch\" parameter) from multichannel input",inputs=1,output=1,location=0  ,symbol="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"
[66]160
161prop:id=ch,name="channel",type="d   "
162
163
164neuro: id=Rnd,name="Random noise",info="Generates random noise (subsequent random values in the range of -1..+1)",inputs=0,output=1,location=0
165
166
167neuro: id=Sin,name="Sinus generator",info="Output frequency = f0+input",inputs=1,output=1,location=0  ,symbol="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"
168
169prop:id=f0,name="base frequency",type="f -1.0 1.0 0.06283185307"
170prop:id=t,name="time",type="f 0 6.283185307 0"
171
172
173# EOF
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