source: cpp/gdk/model.def @ 94

Last change on this file since 94 was 94, checked in by sz, 11 years ago

fixed model.def double Model appearance
  • Property svn:eol-style set to native
File size: 10.1 KB
Line 
1
2# f0 definition for Framsticks
3
4class:id=m,name="Model"
5
6
7prop:id=se,name="startenergy",group="Properties",flags=1024,type="f   "
8prop:id=Vstyle,name="vis_style",group="Visual",flags=0,type="s 0 -1 "
9
10
11class:id=p,name="Part"
12
13
14
15prop:id=x,name="position.x",group="Geometry",flags=1024,type="f   "
16prop:id=y,name="position.y",group="Geometry",flags=1024,type="f   "
17prop:id=z,name="position.z",group="Geometry",flags=1024,type="f   "
18prop:id=m,xtra=1,name="mass",group="Other properties",flags=0,type="f 0.1 999.0 1.0"
19prop:id=s,name="size",group="Other properties",flags=0,type="f 0.1 10.0 1.0"
20prop:id=dn,xtra=1,name="density",group="Other properties",flags=0,type="f 0.2 5.0 1.0"
21prop:id=fr,xtra=1,name="friction",group="Other properties",flags=0,type="f 0.0 4.0 0.4"
22prop:id=ing,xtra=1,name="ingestion",group="Other properties",flags=0,type="f 0.0 1.0 0.25"
23prop:id=as,xtra=1,name="assimilation",group="Other properties",flags=0,type="f 0.0 1.0 0.25"
24prop:id=rx,name="rot.x",group="Geometry",flags=0,type="f   "
25prop:id=ry,name="rot.y",group="Geometry",flags=1024,type="f   "
26prop:id=rz,name="rot.z",group="Geometry",flags=1024,type="f   "
27prop:id=i,name="info",group="Other properties",flags=0,type="s   "
28prop:id=Vstyle,name="vis_style",group="Visual",flags=0,type="s 0 -1 part"
29prop:id=vs,xtra=1,name="visual thickness",group="Visual",flags=0,type="f 0.05 0.7 0.2"
30prop:id=vr,xtra=1,name="red component",group="Visual",flags=0,type="f 0.0 1.0 0.5"
31prop:id=vg,xtra=1,name="green component",group="Visual",flags=1024,type="f 0.0 1.0 0.5"
32prop:id=vb,xtra=1,name="blue component",group="Visual",flags=1024,type="f 0.0 1.0 0.5"
33
34
35class:id=j,name="Joint"
36
37
38
39
40prop:id=p1,name="part1 ref#",group="Connections",flags=1024,type="d -1 999999 -1"
41prop:id=p2,name="part2 ref#",group="Connections",flags=1024,type="d -1 999999 -1"
42prop:id=rx,name="rotation.x",group="Geometry",flags=0,type="f   "
43prop:id=ry,name="rotation.y",group="Geometry",flags=1024,type="f   "
44prop:id=rz,name="rotation.z",group="Geometry",flags=1024,type="f   "
45prop:id=dx,name="delta.x",group="Geometry",flags=0,type="f -2 2 0"
46prop:id=dy,name="delta.y",group="Geometry",flags=1024,type="f -2 2 0"
47prop:id=dz,name="delta.z",group="Geometry",flags=1024,type="f -2 2 0"
48prop:id=stif,xtra=1,name="stiffness",group="Other properties",flags=0,type="f 0.0 1.0 1.0"
49prop:id=rotstif,xtra=1,name="rotation stiffness",group="Other properties",flags=0,type="f 0.0 1.0 1.0"
50prop:id=stam,name="stamina",group="Other properties",flags=0,type="f 0.0 1.0 0.25"
51prop:id=i,name="info",group="Other properties",flags=0,type="s   "
52prop:id=Vstyle,name="vis_style",group="Visual",flags=0,type="s 0 -1 joint"
53prop:id=vr,xtra=1,name="red component",group="Visual",flags=0,type="f 0.0 1.0 0.5"
54prop:id=vg,xtra=1,name="green component",group="Visual",flags=1024,type="f 0.0 1.0 0.5"
55prop:id=vb,xtra=1,name="blue component",group="Visual",flags=1024,type="f 0.0 1.0 0.5"
56
57
58
59
60class:id=n,name="Neuro"
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62
63
64prop:id=p,name="part ref#",group="Connections",flags=0,type="d -1 999999 -1"
65prop:id=j,name="joint ref#",group="Connections",flags=0,type="d -1 999999 -1"
66prop:id=d,name="item details",group="Other",flags=0,type="s   N"
67prop:id=i,name="info",group="Other",flags=0,type="s   "
68prop:id=Vstyle,name="vis_style",group="Visual",flags=0,type="s 0 -1 neuro"
69prop:id=getInputCount,name="input count",group="Connections",flags=1+2,type="d   "
70prop:id=getInputNeuroDef,name="get input neuron",group="Connections",flags=1+2,type="p oNeuroDef(d)   "
71prop:id=getInputNeuroIndex,name="get input neuron index",group="Connections",flags=1+2,type="p d(d)   "
72prop:id=getInputWeight,name="get input weight",group="Connections",flags=1+2,type="p f(d)   "
73prop:id=classObject,name="neuron class",group="Connections",flags=1+2,type="o NeuroClass   "
74
75
76class:id=c,name="NeuroConn"
77
78
79prop:id=n1,name="this neuro ref#",group="Connection",flags=1024,type="d -1 999999 -1"
80prop:id=n2,name="connected neuro ref#",group="Connection",flags=1024,type="d -1 999999 -1"
81prop:id=w,name="weight",group="Connection",flags=1024,type="f -999999 999999 1.0"
82prop:id=i,name="info",group="Other",flags=0,type="s   "
83
84
85neuro: id=N,name="Neuron",info="Standard neuron",inputs=-1,output=1,location=0  ,vhints=2
86
87prop:id=in,name="Inertia",type="f 0.0 1.0 0.8"
88prop:id=fo,name="Force",type="f 0.0 999.0 0.04"
89prop:id=si,name="Sigmoid",type="f -99999.0 99999.0 2.0"
90prop:id=s,name="State",type="f -1.0 1.0 0.0"
91
92
93neuro: 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
94prop:id=in,name="Inertia",type="f 0.0 1.0 0.8"
95prop:id=fo,name="Force",type="f 0.0 999.0 0.04"
96prop:id=si,name="Sigmoid",type="f -99999.0 99999.0 2.0"
97prop:id=s,name="State",type="f -1.0 1.0 0.0"
98
99
100neuro: 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"
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105neuro: 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"
106
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108prop:id=r,name="Range",type="f 0.0 1.0 1.0"
109
110
111neuro: 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"
112
113
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116neuro: 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"
117
118
119
120
121neuro: 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"
122
123
124prop:id=p,name="power",type="f 0.01 1.0 0.25"
125prop:id=r,name="bending range",type="f 0.0 1.0 1.0"
126
127
128neuro: 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"
129
130
131prop:id=p,name="power",type="f 0.01 1.0 1.0"
132
133
134neuro: 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"
135
136
137
138neuro: 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"
139
140prop:id=ns,name="number of fuzzy sets",type="d 1  "
141prop:id=nr,name="number of rules",type="d 1  "
142prop:id=fs,name="fuzzy sets",type="s 0 -1 0"
143prop:id=fr,name="fuzzy rules",type="s 0 -1 0"
144
145
146neuro: id=Sti,name="Sticky [EXPERIMENTAL!]",info="",inputs=1,output=0,location=1  ,vhints=16
147
148
149
150neuro: id=LMu,name="Linear muscle [EXPERIMENTAL!]",info="",inputs=1,output=0,location=2  ,vhints=16
151
152prop:id=p,name="power",type="f 0.01 1.0 1.0"
153
154
155neuro: 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
156
157
158
159neuro: 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
160
161
162
163neuro: 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"
164
165
166
167neuro: 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"
168
169
170
171neuro: 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"
172
173prop:id=ch,name="channel",type="d   "
174
175
176neuro: id=Rnd,name="Random noise",info="Generates random noise (subsequent random values in the range of -1..+1)",inputs=0,output=1,location=0
177
178
179neuro: 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"
180
181prop:id=f0,name="base frequency",type="f -1.0 1.0 0.06283185307"
182prop:id=t,name="time",type="f 0 6.283185307 0"
183
184
185
186# EOF
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