source: cpp/gdk/f0def.xml @ 66

Last change on this file since 66 was 66, checked in by Maciej Komosinski, 13 years ago

set 'eol-style' to 'native'

  • Property svn:eol-style set to native
File size: 13.1 KB
Line 
1<!DOCTYPE F0CLASSES>
2<F0CLASSES>
3
4 <CLASS ID="p" NAME="Part">
5  <GROUP NAME="Geometry" />
6  <GROUP NAME="Other properties" />
7  <GROUP NAME="Visual" />
8  <PROP ID="x" NAME="position.x" GROUP="0" FLAGS="1024" TYPE="f" />
9  <PROP ID="y" NAME="position.y" GROUP="0" FLAGS="1024" TYPE="f" />
10  <PROP ID="z" NAME="position.z" GROUP="0" FLAGS="1024" TYPE="f" />
11  <PROP ID="m" XTRA="1" NAME="mass" GROUP="1" FLAGS="0" TYPE="f" MIN="0.1" MAX="999.0" DEF="1.0" />
12  <PROP ID="s" NAME="size" GROUP="1" FLAGS="0" TYPE="f" MIN="0.1" MAX="10.0" DEF="1.0" />
13  <PROP ID="dn" XTRA="1" NAME="density" GROUP="1" FLAGS="0" TYPE="f" MIN="0.2" MAX="5.0" DEF="1.0" />
14  <PROP ID="fr" XTRA="1" NAME="friction" GROUP="1" FLAGS="0" TYPE="f" MIN="0.0" MAX="4.0" DEF="0.4" />
15  <PROP ID="ing" XTRA="1" NAME="ingestion" GROUP="1" FLAGS="0" TYPE="f" MIN="0.0" MAX="1.0" DEF="0.25" />
16  <PROP ID="as" XTRA="1" NAME="assimilation" GROUP="1" FLAGS="0" TYPE="f" MIN="0.0" MAX="1.0" DEF="0.25" />
17  <PROP ID="rx" NAME="rot.x" GROUP="0" FLAGS="0" TYPE="f" />
18  <PROP ID="ry" NAME="rot.y" GROUP="0" FLAGS="1024" TYPE="f" />
19  <PROP ID="rz" NAME="rot.z" GROUP="0" FLAGS="1024" TYPE="f" />
20  <PROP ID="i" NAME="info" GROUP="1" FLAGS="0" TYPE="s" />
21  <PROP ID="Vstyle" NAME="vis_style" GROUP="2" FLAGS="0" TYPE="s" MIN="0" MAX="-1" DEF="part" />
22 </CLASS>
23
24 <CLASS ID="j" NAME="Joint">
25  <GROUP NAME="Connections" />
26  <GROUP NAME="Geometry" />
27  <GROUP NAME="Other properties" />
28  <GROUP NAME="Visual" />
29  <PROP ID="p1" NAME="part1 ref#" GROUP="0" FLAGS="1024" TYPE="d" MIN="-1" MAX="999999" DEF="-1" />
30  <PROP ID="p2" NAME="part2 ref#" GROUP="0" FLAGS="1024" TYPE="d" MIN="-1" MAX="999999" DEF="-1" />
31  <PROP ID="rx" NAME="rotation.x" GROUP="1" FLAGS="0" TYPE="f" />
32  <PROP ID="ry" NAME="rotation.y" GROUP="1" FLAGS="1024" TYPE="f" />
33  <PROP ID="rz" NAME="rotation.z" GROUP="1" FLAGS="1024" TYPE="f" />
34  <PROP ID="dx" NAME="delta.x" GROUP="1" FLAGS="0" TYPE="f" MIN="-2" MAX="2" DEF="0" />
35  <PROP ID="dy" NAME="delta.y" GROUP="1" FLAGS="1024" TYPE="f" MIN="-2" MAX="2" DEF="0" />
36  <PROP ID="dz" NAME="delta.z" GROUP="1" FLAGS="1024" TYPE="f" MIN="-2" MAX="2" DEF="0" />
37  <PROP ID="stif" XTRA="1" NAME="stiffness" GROUP="2" FLAGS="0" TYPE="f" MIN="0.0" MAX="1.0" DEF="1.0" />
38  <PROP ID="rotstif" XTRA="1" NAME="rotation stiffness" GROUP="2" FLAGS="0" TYPE="f" MIN="0.0" MAX="1.0" DEF="1.0" />
39  <PROP ID="stam" NAME="stamina" GROUP="2" FLAGS="0" TYPE="f" MIN="0.0" MAX="1.0" DEF="0.25" />
40  <PROP ID="i" NAME="info" GROUP="2" FLAGS="0" TYPE="s" />
41  <PROP ID="Vstyle" NAME="vis_style" GROUP="3" FLAGS="0" TYPE="s" MIN="0" MAX="-1" DEF="joint" />
42 </CLASS>
43
44
45
46 <CLASS ID="n" NAME="Neuro">
47  <GROUP NAME="Connections" />
48  <GROUP NAME="Other" />
49  <GROUP NAME="Visual" />
50  <PROP ID="p" NAME="part ref#" GROUP="0" FLAGS="0" TYPE="d" MIN="-1" MAX="999999" DEF="-1" />
51  <PROP ID="j" NAME="joint ref#" GROUP="0" FLAGS="0" TYPE="d" MIN="-1" MAX="999999" DEF="-1" />
52  <PROP ID="d" NAME="item details" GROUP="1" FLAGS="0" TYPE="s" />
53  <PROP ID="i" NAME="info" GROUP="1" FLAGS="0" TYPE="s" />
54  <PROP ID="Vstyle" NAME="vis_style" GROUP="2" FLAGS="0" TYPE="s" MIN="0" MAX="-1" DEF="neuro" />
55  <PROP ID="getInputCount" NAME="input count" GROUP="0" FLAGS="1+2" TYPE="d" />
56  <PROP ID="getInputNeuroDef" NAME="get input neuron" GROUP="0" FLAGS="1+2" TYPE="p oNeuroDef(d)" />
57  <PROP ID="getInputNeuroIndex" NAME="get input neuron index" GROUP="0" FLAGS="1+2" TYPE="p d(d)" />
58  <PROP ID="getInputWeight" NAME="get input weight" GROUP="0" FLAGS="1+2" TYPE="p f(d)" />
59  <PROP ID="classObject" NAME="neuron class" GROUP="0" FLAGS="1+2" TYPE="o NeuroClass" />
60 </CLASS>
61
62 <CLASS ID="c" NAME="NeuroConn">
63  <GROUP NAME="Connection" />
64  <GROUP NAME="Other" />
65  <PROP ID="n1" NAME="this neuro ref#" GROUP="0" FLAGS="1024" TYPE="d" MIN="-1" MAX="999999" DEF="-1" />
66  <PROP ID="n2" NAME="connected neuro ref#" GROUP="0" FLAGS="1024" TYPE="d" MIN="-1" MAX="999999" DEF="-1" />
67  <PROP ID="w" NAME="weight" GROUP="0" FLAGS="1024" TYPE="f" MIN="-999999" MAX="999999" DEF="1.0" />
68  <PROP ID="i" NAME="info" GROUP="1" FLAGS="0" TYPE="s" />
69 </CLASS>
70
71 <NEUROCLASS ID="N" NAME="Neuron" DESCRIPTION="Standard neuron" INPUTS="-1" OUTPUT="1" LOCATION="0"  VISUALHINTS="2"  >
72
73  <NEUROPROP ID="in" NAME="Inertia" TYPE="f" MIN="0.0" MAX="1.0" DEF="0.8" />
74  <NEUROPROP ID="fo" NAME="Force" TYPE="f" MIN="0.0" MAX="999.0" DEF="0.04" />
75  <NEUROPROP ID="si" NAME="Sigmoid" TYPE="f" MIN="-99999.0" MAX="99999.0" DEF="2.0" />
76  <NEUROPROP ID="s" NAME="State" TYPE="f" MIN="-1.0" MAX="1.0" DEF="0.0" />
77 </NEUROCLASS>
78
79 <NEUROCLASS ID="Nu" NAME="Unipolar neuron [EXPERIMENTAL!]" DESCRIPTION="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"  >
80  <NEUROPROP ID="in" NAME="Inertia" TYPE="f" MIN="0.0" MAX="1.0" DEF="0.8" />
81  <NEUROPROP ID="fo" NAME="Force" TYPE="f" MIN="0.0" MAX="999.0" DEF="0.04" />
82  <NEUROPROP ID="si" NAME="Sigmoid" TYPE="f" MIN="-99999.0" MAX="99999.0" DEF="2.0" />
83  <NEUROPROP ID="s" NAME="State" TYPE="f" MIN="-1.0" MAX="1.0" DEF="0.0" />
84 </NEUROCLASS>
85
86 <NEUROCLASS ID="G" NAME="Gyroscope" DESCRIPTION="Equilibrium sensor.\n0=the stick is horizontal\n+1/-1=the stick is vertical" INPUTS="0" OUTPUT="1" LOCATION="2"  VISUALHINTS="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"  >
87
88
89 </NEUROCLASS>
90
91 <NEUROCLASS ID="T" NAME="Touch" DESCRIPTION="Touch sensor.\n-1=no contact\n0=just touching\n>0=pressing, value depends on the force applied" INPUTS="0" OUTPUT="1" LOCATION="1"  VISUALHINTS="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"  >
92
93
94  <NEUROPROP ID="r" NAME="Range" TYPE="f" MIN="0.0" MAX="1.0" DEF="1.0" />
95 </NEUROCLASS>
96
97 <NEUROCLASS ID="S" NAME="Smell" DESCRIPTION="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"  VISUALHINTS="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"  >
98
99
100 </NEUROCLASS>
101
102 <NEUROCLASS ID="*" NAME="Constant" DESCRIPTION="Constant value" INPUTS="0" OUTPUT="1" LOCATION="0"  VISUALHINTS="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"  >
103
104
105 </NEUROCLASS>
106
107 <NEUROCLASS ID="|" NAME="Bend muscle" DESCRIPTION="" INPUTS="1" OUTPUT="0" LOCATION="2"  VISUALHINTS="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"  >
108
109
110  <NEUROPROP ID="p" NAME="power" TYPE="f" MIN="0.01" MAX="1.0" DEF="0.25" />
111  <NEUROPROP ID="r" NAME="bending range" TYPE="f" MIN="0.0" MAX="1.0" DEF="1.0" />
112 </NEUROCLASS>
113
114 <NEUROCLASS ID="@" NAME="Rotation muscle" DESCRIPTION="" INPUTS="1" OUTPUT="0" LOCATION="2"  VISUALHINTS="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"  >
115
116
117  <NEUROPROP ID="p" NAME="power" TYPE="f" MIN="0.01" MAX="1.0" DEF="1.0" />
118 </NEUROCLASS>
119
120 <NEUROCLASS ID="D" NAME="Differentiate" DESCRIPTION="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"  >
121
122 </NEUROCLASS>
123
124 <NEUROCLASS ID="Fuzzy" NAME="Fuzzy system [EXPERIMENTAL!]" DESCRIPTION="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"  >
125
126  <NEUROPROP ID="ns" NAME="number of fuzzy sets" TYPE="d" MIN="1" MAX="" DEF="" />
127  <NEUROPROP ID="nr" NAME="number of rules" TYPE="d" MIN="1" MAX="" DEF="" />
128  <NEUROPROP ID="fs" NAME="fuzzy sets" TYPE="s" MIN="0" MAX="-1" DEF="0" />
129  <NEUROPROP ID="fr" NAME="fuzzy rules" TYPE="s" MIN="0" MAX="-1" DEF="0" />
130 </NEUROCLASS>
131
132 <NEUROCLASS ID="VEye" NAME="Vector Eye [EXPERIMENTAL!]" DESCRIPTION="Refer to publications to learn more about this neuron." INPUTS="1" OUTPUT="1" LOCATION="1"  SYMBOL="11,7,100,50,90,50,90,40,70,40,80,50,70,60,90,60,90,50,14,70,50,65,40,60,35,45,30,30,30,15,35,10,40,5,50,10,60,15,65,30,70,45,70,60,65,65,60,70,50,8,38,67,28,62,23,52,28,42,38,37,48,42,53,52,48,62,38,67,4,33,52,38,47,43,52,38,57,33,52,5,70,50,60,40,45,35,30,35,15,40,5,50,1,53,33,58,22,1,62,36,68,26,1,45,30,47,19,1,35,30,35,19,1,27,31,24,20,1,18,34,12,24"  >
133
134  <NEUROPROP ID="tx" NAME="target.x" TYPE="f" MIN="" MAX="" DEF="" />
135  <NEUROPROP ID="ty" NAME="target.y" TYPE="f" MIN="" MAX="" DEF="" />
136  <NEUROPROP ID="tz" NAME="target.z" TYPE="f" MIN="" MAX="" DEF="" />
137  <NEUROPROP ID="ts" NAME="target shape" TYPE="s" MIN="0" MAX="-1" DEF="0" />
138  <NEUROPROP ID="p" NAME="perspective" TYPE="f" MIN="0.1" MAX="10.0" DEF="1.0" />
139  <NEUROPROP ID="s" NAME="scale" TYPE="f" MIN="0.1" MAX="100.0" DEF="1.0" />
140  <NEUROPROP ID="h" NAME="show hidden lines" TYPE="d" MIN="0" MAX="1" DEF="0" />
141  <NEUROPROP ID="o" NAME="output lines count (each line needs four channels)" TYPE="d" MIN="0" MAX="99" DEF="0" />
142  <NEUROPROP ID="d" NAME="debug" TYPE="d" MIN="0" MAX="1" DEF="0" />
143 </NEUROCLASS>
144
145 <NEUROCLASS ID="VMotor" NAME="Visual-Motor Cortex [EXPERIMENTAL!]" DESCRIPTION="Must be connected to the VEye and properly set up. Refer to publications to learn more about this neuron." INPUTS="-1" OUTPUT="1" LOCATION="0"  >
146  <NEUROPROP ID="noIF" NAME="number of basic features" TYPE="d" MIN="" MAX="" DEF="" />
147  <NEUROPROP ID="noDim" NAME="number of degrees of freedom" TYPE="d" MIN="" MAX="" DEF="" />
148  <NEUROPROP ID="params" NAME="parameters" TYPE="s" MIN="" MAX="" DEF="" />
149 </NEUROCLASS>
150
151 <NEUROCLASS ID="Sti" NAME="Sticky [EXPERIMENTAL!]" DESCRIPTION="" INPUTS="1" OUTPUT="0" LOCATION="1"  VISUALHINTS="16"  >
152
153 </NEUROCLASS>
154
155 <NEUROCLASS ID="LMu" NAME="Linear muscle [EXPERIMENTAL!]" DESCRIPTION="" INPUTS="1" OUTPUT="0" LOCATION="2"  VISUALHINTS="16"  >
156
157  <NEUROPROP ID="p" NAME="power" TYPE="f" MIN="0.01" MAX="1.0" DEF="1.0" />
158 </NEUROCLASS>
159
160 <NEUROCLASS ID="Water" NAME="Water detector" DESCRIPTION="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"  VISUALHINTS="32"  >
161
162 </NEUROCLASS>
163
164 <NEUROCLASS ID="Energy" NAME="Energy level" DESCRIPTION="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"  VISUALHINTS="32"  >
165
166 </NEUROCLASS>
167
168 <NEUROCLASS ID="Ch" NAME="Channelize" DESCRIPTION="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"  >
169
170 </NEUROCLASS>
171
172 <NEUROCLASS ID="ChMux" NAME="Channel multiplexer" DESCRIPTION="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"  >
173
174 </NEUROCLASS>
175
176 <NEUROCLASS ID="ChSel" NAME="Channel selector" DESCRIPTION="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"  >
177
178  <NEUROPROP ID="ch" NAME="channel" TYPE="d" MIN="" MAX="" DEF="" />
179 </NEUROCLASS>
180
181 <NEUROCLASS ID="Rnd" NAME="Random noise" DESCRIPTION="Generates random noise (subsequent random values in the range of -1..+1)" INPUTS="0" OUTPUT="1" LOCATION="0"  >
182 </NEUROCLASS>
183
184 <NEUROCLASS ID="Sin" NAME="Sinus generator" DESCRIPTION="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"  >
185
186  <NEUROPROP ID="f0" NAME="base frequency" TYPE="f" MIN="-1.0" MAX="1.0" DEF="0.06283185307" />
187  <NEUROPROP ID="t" NAME="time" TYPE="f" MIN="0" MAX="6.283185307" DEF="0" />
188 </NEUROCLASS>
189
190
191</F0CLASSES>
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