flex Expert System Toolkit - LPIS

More documents

Recommendations

Info

8. Run-Time Interpretation of KSL 118 Groups because The starter is part of a meal . will be represented by the Prolog assertion question( starter, ['Please',choose,a,starter,for,your,meal], single([pate,soup,melon]), text(['The',starter,is,part,of,a,meal]) ). Groups are mapped onto the relation group/2, as follows. group( Group, Elements ). Example group colours black, blue, green, cyan, red, magenta, yellow, white . will be represented by the Prolog assertion group( colours, [black,blue,green,cyan,red,magenta,yellow,white] ). Synonyms Synonyms are mapped onto the relation synonym/2, as follows. synonym( Synonym, Term ). Example Templates synonym weight_calc its volume times its density . will be represented by the Prolog assertion synonym( weight_calc, its(volume)*its(density) ). Templates are stored as clauses of the relation template/3, as follows. template( Template, PositiveForm, NegativeForm ). Each form of the template is stored as a list of lists which indicate the parameter positions. Example template ontopof <strong>flex</strong> toolkit
8. Run-Time Interpretation of KSL 119 block ^ is on top of ^ ; block ^ is not on top of ^ . will be represented by the Prolog assertion template( ontopof, [[block],[is,on,top,of],[]], [[block],[is,not,on,top,of],[]] ). <strong>flex</strong> toolkit
Page 1:
flex Reference By Dave Westwood
Page 4 and 5:
The contents of this manual describ
Page 6 and 7:
Contents 4 Contents Contents 4 1. I
Page 8 and 9:
Contents 6 KSL Sentences 81 Frames
Page 10 and 11:
Contents 8 Variant 196 Set 197 Gene
Page 12 and 13:
1. Introduction 10 Forward Chaining
Page 14 and 15:
2. Frames and Inheritance 12 2. Fra
Page 16 and 17:
2. Frames and Inheritance 14 Defaul
Page 18 and 19:
2. Frames and Inheritance 16 flex t
Page 20 and 21:
2. Frames and Inheritance 18 define
Page 22 and 23:
2. Frames and Inheritance 20 employ
Page 24 and 25:
2. Frames and Inheritance 22 Inheri
Page 26 and 27:
2. Frames and Inheritance 24 Depth-
Page 28 and 29:
2. Frames and Inheritance 26 Univer
Page 30 and 31:
2. Frames and Inheritance 28 The fl
Page 32 and 33:
3. Forward Chaining 30 the axioms a
Page 34 and 35:
3. Forward Chaining 32 flex toolkit
Page 36 and 37:
3. Forward Chaining 34 A Simple Mod
Page 38 and 39:
3. Forward Chaining 36 The basic cy
Page 40 and 41:
3. Forward Chaining 38 First Come F
Page 42 and 43:
3. Forward Chaining 40 considered.
Page 44 and 45:
4. Data-Driven Programming 42 data-
Page 46 and 47:
4. Data-Driven Programming 44 Const
Page 48 and 49:
4. Data-Driven Programming 46 • c
Page 50 and 51:
4. Data-Driven Programming 48 conte
Page 52 and 53:
5. Questions And Answers 50 Rather
Page 54 and 55:
5. Questions And Answers 52 Customi
Page 56 and 57:
5. Questions And Answers 54 answer
Page 58 and 59:
6. Anatomy of a flex Program 56 ?-
Page 60 and 61:
6. Anatomy of a flex Program 58 fle
Page 62 and 63:
6. Anatomy of a flex Program 60 and
Page 64 and 65:
7. Knowledge Specification Language
Page 66 and 67:
Page 68 and 69:
Page 70 and 71: 7. Knowledge Specification Language
Page 110 and 111: 8. Run-Time Interpretation of KSL 1
Page 122 and 123: 9. Flex Predicates 120 9. flex Tool
Page 124 and 125: 9. Flex Predicates 122 ask( +Name )
Page 126 and 127: 9. Flex Predicates 124 flex toolkit
Page 128 and 129: 9. Flex Predicates 126 every_instan
Page 130 and 131: 9. Flex Predicates 128 forward_chai
Page 132 and 133: 9. Flex Predicates 130 Examples fle
Page 134 and 135: 9. Flex Predicates 132 are : Search
Page 136 and 137: 9. Flex Predicates 134 isa_demon( ?
Page 138 and 139: 9. Flex Predicates 136 Example ?- i
Page 144 and 145: 9. Flex Predicates 142 new_group( +
Page 146 and 147: 9. Flex Predicates 144 one of the f
Page 148 and 149: 9. Flex Predicates 146 new_synonym(
Page 150 and 151: 9. Flex Predicates 148 the agenda.
Page 152 and 153: 9. Flex Predicates 150 Examples rem
Page 154 and 155: 9. Flex Predicates 152 remove_quest
Page 156 and 157: 9. Flex Predicates 154 spied_chain
Page 158 and 159: 9. Flex Predicates 156 If the exist
Page 160 and 161: 11. Example - Robbie Goes Shopping
Page 168 and 169: Appendix A - Examples 166 Appendix
Page 170 and 171:
tail Appendix A - Examples 168 herb
Page 172 and 173:
Appendix A - Examples 170 Represent
Page 174 and 175:
Appendix A - Examples 172 The Ident
Page 176 and 177:
Appendix A - Examples 174 Example 2
Page 178 and 179:
Appendix A - Examples 176 The Rules
Page 180 and 181:
Appendix A - Examples 178 group sta
Page 182 and 183:
Appendix B - Formal Definition of K
Page 184 and 185:
Page 186 and 187:
Page 188 and 189:
Page 190 and 191:
Page 192 and 193:
Page 194 and 195:
Page 196 and 197:
Page 198 and 199:
Page 200 and 201:
Page 202 and 203:
Page 204 and 205:
Appendix C - KSL Keyword Glossary 2
Page 206 and 207:
Page 208 and 209:
Page 210 and 211:
Page 212 and 213:
Page 214 and 215:
Page 216 and 217:
Page 218 and 219:
Page 220 and 221:
Page 222 and 223:
Page 224 and 225:
Page 226 and 227:
Page 228 and 229:
Appendix D - Dealing with Uncertain
Page 230 and 231:
Page 232 and 233:
Page 234 and 235:
Index 232 — GENERAL INDEX — —
Page 236 and 237:
Index 234 cycle, 111 cycle/3, 106 c
Page 238 and 239:
Index 236 attribute of, 51 child, 7
Page 240 and 241:
Index 238 isa_exception/1, 117 isa_
Page 242 and 243:
Index 240 Ordering, 58, 59, 88, 105
Page 244 and 245:
Index 242 create, 128 disabling of,
Page 246 and 247:
Index 244 Updating agenda, 29, 74 U
Page 248 and 249:
Index 246 false, 180, 193 first, 72
Page 250 and 251:
Index 248 —flex PREDICATES INDEX
Page 252 and 253:
Index 250 run_data/0, 137 run_data/
show all

flex Expert System Toolkit - LPIS

Create successful ePaper yourself

Delete template?

Save as template?