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Qualitative reasoning

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reason about the behavior of physical systems, without precise quantitative information. An example is observing pouring rain and the steadily rising water level of a river, which is sufficient information to take action against possible flooding without knowing the exact water level, the rate of change, or the time the river might flood.
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The techniques which have been developed for qualitative reasoning permit the simulation of quantitative systems which are subject to multiple constraints in the form of inequalities as well as equalities. It can permit the simulation of certain important systems, such as ecosystems, which might
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Qualitative reasoning creates non-numerical descriptions of physical systems and their behavior, preserving important behavioral properties and qualitative distinctions. The goal of qualitative reasoning research is to develop representation and reasoning methods that enable computer programs to
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Salvaneschi, Paolo; Cadei, Mauro; Lazzari, Marco (1997). "A causal modelling framework for the simulation and explanation of the behaviour of structures".
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information. Precise numerical values or quantities are avoided, and qualitative values are used instead (e.g., high, low, zero, rising, falling, etc.).
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if water has a temperature that changes from below the boiling point to above the boiling point, then the water level will change to rapidly decreasing;
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Example: If the temperature is changing, the boiling point may be important, but if the temperature is constant, the boiling point may be irrelevant
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otherwise be too complex to model. Qualitative reasoning provides a method for modeling with quantitative inequalities in addition to qualities.
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Example: Instead of using a numerical value for rate of change, consider whether it is increasing, decreasing or constant
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If the temperature of water is below the boiling point, then the water level is constant or slowly decreasing;
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if water is above the boiling point for a specified length of time, the water level will be low or zero
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about continuous aspects of the physical world, such as space, time, and quantity, for the purpose of
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Example: Instead of computing a numeric level or quantity of water, provide two answers: low or zero
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if the temperature of water is above the boiling point, then the water level is rapidly decreasing;
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Qualitative Reasoning and Modelling (QRM) portal of the University of Amsterdam
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Represent continuous quantities using discrete entities for reasoning
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For quantities, determine landmarks and use inequality reasoning
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Instead of providing one answer, provide a range of answers
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Association for the Advancement of Artificial Intelligence
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Choose qualitative values based on relevance to a task
259:"Real-World Applications of Qualitative Reasoning" 70:The principles of qualitative reasoning include: 333: 244:American Association for Artificial Intelligence 200: 256: 63:The principles used are motivated by human 16:Area of research in Artificial Intelligence 230: 228: 196: 194: 237:"Current Topics in Qualitative Reasoning" 113:Represent the transitions between states 235:Bert Bredeweg and Peter Struss (2003). 225: 191: 334: 299:Artificial Intelligence in Engineering 142:Successful application areas include 13: 14: 353: 320: 263:IEEE Expert: Intelligent Systems 290: 277:"Qualitative Reasoning, CS227" 269: 257:Yumi Iwasaki (May–June 1997). 250: 173: 22:is an area of research within 1: 311:10.1016/S0954-1810(96)00040-4 167: 58: 96:Ambiguous values or results 7: 161:Qualitative Reasoning Group 149: 10: 358: 156:Spatial-temporal reasoning 49: 20:Qualitative Reasoning (QR) 204:A Dictionary of Computing 209:Oxford University Press 133: 24:Artificial Intelligence 201:John Daintith (2004). 110:Represent the states 26:(AI) that automates 284:Stanford University 107:Modeling a process 349: 315: 314: 294: 288: 287: 281: 273: 267: 266: 254: 248: 247: 241: 232: 223: 222: 198: 189: 188: 177: 85:Relevant values 74:Discrete values 357: 356: 352: 351: 350: 348: 347: 346: 332: 331: 323: 318: 295: 291: 279: 275: 274: 270: 255: 251: 239: 233: 226: 219: 199: 192: 179: 178: 174: 170: 152: 144:process control 136: 126: 124: 122: 120: 61: 52: 32:problem solving 17: 12: 11: 5: 355: 345: 344: 330: 329: 322: 321:External links 319: 317: 316: 305:(3): 205–216. 289: 268: 249: 224: 217: 190: 171: 169: 166: 165: 164: 158: 151: 148: 135: 132: 131: 130: 129: 128: 117: 114: 111: 105: 104: 103: 100: 94: 93: 92: 89: 83: 82: 81: 78: 60: 57: 51: 48: 15: 9: 6: 4: 3: 2: 354: 343: 340: 339: 337: 328: 325: 324: 312: 308: 304: 300: 293: 285: 278: 272: 264: 260: 253: 245: 238: 231: 229: 220: 214: 210: 206: 205: 197: 195: 186: 182: 176: 172: 162: 159: 157: 154: 153: 147: 145: 140: 118: 115: 112: 109: 108: 106: 101: 98: 97: 95: 90: 87: 86: 84: 79: 76: 75: 73: 72: 71: 68: 66: 56: 47: 45: 41: 37: 33: 29: 25: 21: 302: 298: 292: 271: 262: 252: 203: 175: 141: 137: 69: 62: 53: 44:quantitative 42:rather than 19: 18: 40:qualitative 218:0198608772 168:References 59:Principles 342:Reasoning 65:cognition 28:reasoning 336:Category 150:See also 119:Example: 36:planning 286:. 2011. 187:(AAAI). 50:Purpose 215:  38:using 280:(PDF) 240:(PDF) 163:(QRG) 213:ISBN 134:Uses 34:and 307:doi 338:: 303:11 301:. 282:. 261:. 242:. 227:^ 211:. 207:. 193:^ 183:. 67:. 313:. 309:: 246:. 221:.

Index

Artificial Intelligence
reasoning
problem solving
planning
qualitative
quantitative
cognition
process control
Spatial-temporal reasoning
Qualitative Reasoning Group
"Qualitative Reasoning: Reaching Good Conclusions without Being Precise"
Association for the Advancement of Artificial Intelligence


A Dictionary of Computing
Oxford University Press
ISBN
0198608772


"Current Topics in Qualitative Reasoning"
American Association for Artificial Intelligence
"Real-World Applications of Qualitative Reasoning"
"Qualitative Reasoning, CS227"
Stanford University
doi
10.1016/S0954-1810(96)00040-4
Qualitative Reasoning and Modelling (QRM) portal of the University of Amsterdam
Category
Reasoning

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