source: cpp/gdk/f0def.xml @ 88

Last change on this file since 88 was 80, checked in by Maciej Komosinski, 12 years ago
  • new properties in Parts and Joints: visual red, green, blue, thickness
  • updated list of Neurons and their properties
  • Property svn:eol-style set to native
File size: 14.2 KB
Line 
1<!DOCTYPE F0CLASSES>
2<F0CLASSES>
3
4 <CLASS ID="m" NAME="Model">
5  <GROUP NAME="Properties" />
6  <GROUP NAME="Visual" />
7  <PROP ID="se" NAME="startenergy" GROUP="0" FLAGS="1024" TYPE="f" />
8  <PROP ID="Vstyle" NAME="vis_style" GROUP="1" FLAGS="0" TYPE="s" MIN="0" MAX="-1" />
9 </CLASS>
10
11 <CLASS ID="p" NAME="Part">
12  <GROUP NAME="Geometry" />
13  <GROUP NAME="Other properties" />
14  <GROUP NAME="Visual" />
15  <PROP ID="x" NAME="position.x" GROUP="0" FLAGS="1024" TYPE="f" />
16  <PROP ID="y" NAME="position.y" GROUP="0" FLAGS="1024" TYPE="f" />
17  <PROP ID="z" NAME="position.z" GROUP="0" FLAGS="1024" TYPE="f" />
18  <PROP ID="m" XTRA="1" NAME="mass" GROUP="1" FLAGS="0" TYPE="f" MIN="0.1" MAX="999.0" DEF="1.0" />
19  <PROP ID="s" NAME="size" GROUP="1" FLAGS="0" TYPE="f" MIN="0.1" MAX="10.0" DEF="1.0" />
20  <PROP ID="dn" XTRA="1" NAME="density" GROUP="1" FLAGS="0" TYPE="f" MIN="0.2" MAX="5.0" DEF="1.0" />
21  <PROP ID="fr" XTRA="1" NAME="friction" GROUP="1" FLAGS="0" TYPE="f" MIN="0.0" MAX="4.0" DEF="0.4" />
22  <PROP ID="ing" XTRA="1" NAME="ingestion" GROUP="1" FLAGS="0" TYPE="f" MIN="0.0" MAX="1.0" DEF="0.25" />
23  <PROP ID="as" XTRA="1" NAME="assimilation" GROUP="1" FLAGS="0" TYPE="f" MIN="0.0" MAX="1.0" DEF="0.25" />
24  <PROP ID="rx" NAME="rot.x" GROUP="0" FLAGS="0" TYPE="f" />
25  <PROP ID="ry" NAME="rot.y" GROUP="0" FLAGS="1024" TYPE="f" />
26  <PROP ID="rz" NAME="rot.z" GROUP="0" FLAGS="1024" TYPE="f" />
27  <PROP ID="i" NAME="info" GROUP="1" FLAGS="0" TYPE="s" />
28  <PROP ID="Vstyle" NAME="vis_style" GROUP="2" FLAGS="0" TYPE="s" MIN="0" MAX="-1" DEF="part" />
29  <PROP ID="vs" XTRA="1" NAME="visual thickness" GROUP="2" FLAGS="0" TYPE="f" MIN="0.05" MAX="0.7" DEF="0.2" />
30  <PROP ID="vr" XTRA="1" NAME="red component" GROUP="2" FLAGS="0" TYPE="f" MIN="0.0" MAX="1.0" DEF="0.5" />
31  <PROP ID="vg" XTRA="1" NAME="green component" GROUP="2" FLAGS="1024" TYPE="f" MIN="0.0" MAX="1.0" DEF="0.5" />
32  <PROP ID="vb" XTRA="1" NAME="blue component" GROUP="2" FLAGS="1024" TYPE="f" MIN="0.0" MAX="1.0" DEF="0.5" />
33 </CLASS>
34
35 <CLASS ID="j" NAME="Joint">
36  <GROUP NAME="Connections" />
37  <GROUP NAME="Geometry" />
38  <GROUP NAME="Other properties" />
39  <GROUP NAME="Visual" />
40  <PROP ID="p1" NAME="part1 ref#" GROUP="0" FLAGS="1024" TYPE="d" MIN="-1" MAX="999999" DEF="-1" />
41  <PROP ID="p2" NAME="part2 ref#" GROUP="0" FLAGS="1024" TYPE="d" MIN="-1" MAX="999999" DEF="-1" />
42  <PROP ID="rx" NAME="rotation.x" GROUP="1" FLAGS="0" TYPE="f" />
43  <PROP ID="ry" NAME="rotation.y" GROUP="1" FLAGS="1024" TYPE="f" />
44  <PROP ID="rz" NAME="rotation.z" GROUP="1" FLAGS="1024" TYPE="f" />
45  <PROP ID="dx" NAME="delta.x" GROUP="1" FLAGS="0" TYPE="f" MIN="-2" MAX="2" DEF="0" />
46  <PROP ID="dy" NAME="delta.y" GROUP="1" FLAGS="1024" TYPE="f" MIN="-2" MAX="2" DEF="0" />
47  <PROP ID="dz" NAME="delta.z" GROUP="1" FLAGS="1024" TYPE="f" MIN="-2" MAX="2" DEF="0" />
48  <PROP ID="stif" XTRA="1" NAME="stiffness" GROUP="2" FLAGS="0" TYPE="f" MIN="0.0" MAX="1.0" DEF="1.0" />
49  <PROP ID="rotstif" XTRA="1" NAME="rotation stiffness" GROUP="2" FLAGS="0" TYPE="f" MIN="0.0" MAX="1.0" DEF="1.0" />
50  <PROP ID="stam" NAME="stamina" GROUP="2" FLAGS="0" TYPE="f" MIN="0.0" MAX="1.0" DEF="0.25" />
51  <PROP ID="i" NAME="info" GROUP="2" FLAGS="0" TYPE="s" />
52  <PROP ID="Vstyle" NAME="vis_style" GROUP="3" FLAGS="0" TYPE="s" MIN="0" MAX="-1" DEF="joint" />
53  <PROP ID="vr" XTRA="1" NAME="red component" GROUP="3" FLAGS="0" TYPE="f" MIN="0.0" MAX="1.0" DEF="0.5" />
54  <PROP ID="vg" XTRA="1" NAME="green component" GROUP="3" FLAGS="1024" TYPE="f" MIN="0.0" MAX="1.0" DEF="0.5" />
55  <PROP ID="vb" XTRA="1" NAME="blue component" GROUP="3" FLAGS="1024" TYPE="f" MIN="0.0" MAX="1.0" DEF="0.5" />
56 </CLASS>
57
58
59
60 <CLASS ID="n" NAME="Neuro">
61  <GROUP NAME="Connections" />
62  <GROUP NAME="Other" />
63  <GROUP NAME="Visual" />
64  <PROP ID="p" NAME="part ref#" GROUP="0" FLAGS="0" TYPE="d" MIN="-1" MAX="999999" DEF="-1" />
65  <PROP ID="j" NAME="joint ref#" GROUP="0" FLAGS="0" TYPE="d" MIN="-1" MAX="999999" DEF="-1" />
66  <PROP ID="d" NAME="item details" GROUP="1" FLAGS="0" TYPE="s" DEF="N" />
67  <PROP ID="i" NAME="info" GROUP="1" FLAGS="0" TYPE="s" />
68  <PROP ID="Vstyle" NAME="vis_style" GROUP="2" FLAGS="0" TYPE="s" MIN="0" MAX="-1" DEF="neuro" />
69  <PROP ID="getInputCount" NAME="input count" GROUP="0" FLAGS="1+2" TYPE="d" />
70  <PROP ID="getInputNeuroDef" NAME="get input neuron" GROUP="0" FLAGS="1+2" TYPE="p oNeuroDef(d)" />
71  <PROP ID="getInputNeuroIndex" NAME="get input neuron index" GROUP="0" FLAGS="1+2" TYPE="p d(d)" />
72  <PROP ID="getInputWeight" NAME="get input weight" GROUP="0" FLAGS="1+2" TYPE="p f(d)" />
73  <PROP ID="classObject" NAME="neuron class" GROUP="0" FLAGS="1+2" TYPE="o NeuroClass" />
74 </CLASS>
75
76 <CLASS ID="c" NAME="NeuroConn">
77  <GROUP NAME="Connection" />
78  <GROUP NAME="Other" />
79  <PROP ID="n1" NAME="this neuro ref#" GROUP="0" FLAGS="1024" TYPE="d" MIN="-1" MAX="999999" DEF="-1" />
80  <PROP ID="n2" NAME="connected neuro ref#" GROUP="0" FLAGS="1024" TYPE="d" MIN="-1" MAX="999999" DEF="-1" />
81  <PROP ID="w" NAME="weight" GROUP="0" FLAGS="1024" TYPE="f" MIN="-999999" MAX="999999" DEF="1.0" />
82  <PROP ID="i" NAME="info" GROUP="1" FLAGS="0" TYPE="s" />
83 </CLASS>
84
85 <NEUROCLASS ID="N" NAME="Neuron" DESCRIPTION="Standard neuron" INPUTS="-1" OUTPUT="1" LOCATION="0"  VISUALHINTS="2"  >
86
87  <NEUROPROP ID="in" NAME="Inertia" TYPE="f" MIN="0.0" MAX="1.0" DEF="0.8" />
88  <NEUROPROP ID="fo" NAME="Force" TYPE="f" MIN="0.0" MAX="999.0" DEF="0.04" />
89  <NEUROPROP ID="si" NAME="Sigmoid" TYPE="f" MIN="-99999.0" MAX="99999.0" DEF="2.0" />
90  <NEUROPROP ID="s" NAME="State" TYPE="f" MIN="-1.0" MAX="1.0" DEF="0.0" />
91 </NEUROCLASS>
92
93 <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 &quot;gate circuits&quot;, where input signal is passed through or blocked depending on the other singal." INPUTS="-1" OUTPUT="1" LOCATION="0"  >
94  <NEUROPROP ID="in" NAME="Inertia" TYPE="f" MIN="0.0" MAX="1.0" DEF="0.8" />
95  <NEUROPROP ID="fo" NAME="Force" TYPE="f" MIN="0.0" MAX="999.0" DEF="0.04" />
96  <NEUROPROP ID="si" NAME="Sigmoid" TYPE="f" MIN="-99999.0" MAX="99999.0" DEF="2.0" />
97  <NEUROPROP ID="s" NAME="State" TYPE="f" MIN="-1.0" MAX="1.0" DEF="0.0" />
98 </NEUROCLASS>
99
100 <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"  >
101
102
103 </NEUROCLASS>
104
105 <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"  >
106
107
108  <NEUROPROP ID="r" NAME="Range" TYPE="f" MIN="0.0" MAX="1.0" DEF="1.0" />
109 </NEUROCLASS>
110
111 <NEUROCLASS ID="S" NAME="Smell" DESCRIPTION="Smell sensor. Aggregated &quot;smell of energy&quot; 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"  >
112
113
114 </NEUROCLASS>
115
116 <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"  >
117
118
119 </NEUROCLASS>
120
121 <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"  >
122
123
124  <NEUROPROP ID="p" NAME="power" TYPE="f" MIN="0.01" MAX="1.0" DEF="0.25" />
125  <NEUROPROP ID="r" NAME="bending range" TYPE="f" MIN="0.0" MAX="1.0" DEF="1.0" />
126 </NEUROCLASS>
127
128 <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"  >
129
130
131  <NEUROPROP ID="p" NAME="power" TYPE="f" MIN="0.01" MAX="1.0" DEF="1.0" />
132 </NEUROCLASS>
133
134 <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"  >
135
136 </NEUROCLASS>
137
138 <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"  >
139
140  <NEUROPROP ID="ns" NAME="number of fuzzy sets" TYPE="d" MIN="1" MAX="" DEF="" />
141  <NEUROPROP ID="nr" NAME="number of rules" TYPE="d" MIN="1" MAX="" DEF="" />
142  <NEUROPROP ID="fs" NAME="fuzzy sets" TYPE="s" MIN="0" MAX="-1" DEF="0" />
143  <NEUROPROP ID="fr" NAME="fuzzy rules" TYPE="s" MIN="0" MAX="-1" DEF="0" />
144 </NEUROCLASS>
145
146 <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"  >
147
148  <NEUROPROP ID="tx" NAME="target.x" TYPE="f" MIN="" MAX="" DEF="" />
149  <NEUROPROP ID="ty" NAME="target.y" TYPE="f" MIN="" MAX="" DEF="" />
150  <NEUROPROP ID="tz" NAME="target.z" TYPE="f" MIN="" MAX="" DEF="" />
151  <NEUROPROP ID="ts" NAME="target shape" TYPE="s" MIN="0" MAX="-1" DEF="0" />
152  <NEUROPROP ID="p" NAME="perspective" TYPE="f" MIN="0.1" MAX="10.0" DEF="1.0" />
153  <NEUROPROP ID="s" NAME="scale" TYPE="f" MIN="0.1" MAX="100.0" DEF="1.0" />
154  <NEUROPROP ID="h" NAME="show hidden lines" TYPE="d" MIN="0" MAX="1" DEF="0" />
155  <NEUROPROP ID="o" NAME="output lines count (each line needs four channels)" TYPE="d" MIN="0" MAX="99" DEF="0" />
156  <NEUROPROP ID="d" NAME="debug" TYPE="d" MIN="0" MAX="1" DEF="0" />
157 </NEUROCLASS>
158
159 <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"  >
160  <NEUROPROP ID="noIF" NAME="number of basic features" TYPE="d" MIN="" MAX="" DEF="" />
161  <NEUROPROP ID="noDim" NAME="number of degrees of freedom" TYPE="d" MIN="" MAX="" DEF="" />
162  <NEUROPROP ID="params" NAME="parameters" TYPE="s" MIN="" MAX="" DEF="" />
163 </NEUROCLASS>
164
165 <NEUROCLASS ID="Sti" NAME="Sticky [EXPERIMENTAL!]" DESCRIPTION="" INPUTS="1" OUTPUT="0" LOCATION="1"  VISUALHINTS="16"  >
166
167 </NEUROCLASS>
168
169 <NEUROCLASS ID="LMu" NAME="Linear muscle [EXPERIMENTAL!]" DESCRIPTION="" INPUTS="1" OUTPUT="0" LOCATION="2"  VISUALHINTS="16"  >
170
171  <NEUROPROP ID="p" NAME="power" TYPE="f" MIN="0.01" MAX="1.0" DEF="1.0" />
172 </NEUROCLASS>
173
174 <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"  >
175
176 </NEUROCLASS>
177
178 <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"  >
179
180 </NEUROCLASS>
181
182 <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"  >
183
184 </NEUROCLASS>
185
186 <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"  >
187
188 </NEUROCLASS>
189
190 <NEUROCLASS ID="ChSel" NAME="Channel selector" DESCRIPTION="Outputs a single channel (selected by the &quot;ch&quot; 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"  >
191
192  <NEUROPROP ID="ch" NAME="channel" TYPE="d" MIN="" MAX="" DEF="" />
193 </NEUROCLASS>
194
195 <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"  >
196 </NEUROCLASS>
197
198 <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"  >
199
200  <NEUROPROP ID="f0" NAME="base frequency" TYPE="f" MIN="-1.0" MAX="1.0" DEF="0.06283185307" />
201  <NEUROPROP ID="t" NAME="time" TYPE="f" MIN="0" MAX="6.283185307" DEF="0" />
202 </NEUROCLASS>
203
204
205</F0CLASSES>
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