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- 2001030492 contributor B8932992.
- 2001030492 created "c2001.".
- 2001030492 date "2001".
- 2001030492 date "c2001.".
- 2001030492 dateCopyrighted "c2001.".
- 2001030492 description "Includes bibliographical references (p. [457]-497) and index.".
- 2001030492 description "Machine generated contents note: 1 Introduction 1 -- 2 All about uncertainty 7 -- 2.1 Introduction 7 -- 2.2 Taxonomies of uncertainty 9 -- 2.3 Sources of imperfect information 15 -- 2.4 Uncertainty and entropy 18 -- 2.5 Human reasoning under uncertainty 20 -- 2.6 Ground rules for formal systems 29 -- 2.7 Summary 34 -- 3 Quantitative methods for reasoning with imperfect information 37 -- 3.1 Introduction 38 -- 3.2 The main models 39 -- 3.3 Other important models 65 -- 3.4 Computational techniques 73 -- 3.5 Quantified logics 97 -- 3.6 Summary 105 -- 4 Qualitative methods for reasoning with imperfect information 107 -- 4.1 Introduction 108 -- 4.2 Qualitative physics 109 -- 4.3 Interval-based systems 117 -- 4.4 Abstractions of quantitative systems 123 -- 4.5 Defeasible reasoning 134 -- 4.6 Combining and relating formalisms 155 -- 4.7 Summary 166 -- 5 A framework for studying different methods 169 -- 5.1 Introduction 169 -- 5.2 Eclecticism and the integration problem 172 -- 5.3 A general framework 184 -- 5.4 Examples of integration and incompleteness 191 -- 5.5 Summary 199 -- 6 Using qualitative algebras 201 -- 6.1 Introduction 201 -- 6.2 An algebra with qualitative values 202 -- 6.3 An algebra of interval values 209 -- 6.4 Other qualitative algebras 219 -- 6.5 An example of handling integration 221 -- 6.6 An example of handling incompleteness 228 -- 6.7 Summary 233 -- 7 The theory of qualitative change 237 -- 7.1 Introduction 237 -- 7.2 Basic concepts of qualitative change 239 -- 7.3 Causal reasoning 247 -- 7.4 Evidential reasoning 263 -- 7.5 Handling incompleteness and integration 273 -- 7.6 Summary 280 -- 8 Further results in the theory of qualitative change 283 -- 8.1 Synergy 283 -- 8.2 Propagation in multiply-connected networks 296 -- 8.3 Intercausal reasoning 311 -- 8.4 Related work 322 -- 8.5 Summary 327 -- 9 Implementing the qualitative approaches 329 -- 9.1 Introduction 330 -- 9.2 Implementing qualitative algebras 330 -- 9.3 Implementing the theory of qualitative change 336 -- 9.4 Summary 351 -- 10 Qualitative protein topology prediction 353 -- 10.1 Introduction 354 -- 10.2 Protein topology prediction 356 -- 10.3 A first approach to modelling the uncertainty 358 -- 10.4 A second approach to modeling the uncertainty 373 -- 10.5 Discussion 387 -- 10.6 Summary 389 -- 11 Summary and conclusions 391 -- 11.1 Summary 391 -- 11.2 Conclusions 394.".
- 2001030492 extent "xviii, 506 p. :".
- 2001030492 identifier "0262161680 (alk. paper)".
- 2001030492 identifier 2001030492.html.
- 2001030492 issued "2001".
- 2001030492 issued "c2001.".
- 2001030492 language "eng".
- 2001030492 publisher "Cambridge, Mass. : MIT Press,".
- 2001030492 subject "006.3/3 21".
- 2001030492 subject "Q339.25 .P37 2001".
- 2001030492 subject "Qualitative reasoning.".
- 2001030492 subject "Uncertainty (Information theory)".
- 2001030492 tableOfContents "Machine generated contents note: 1 Introduction 1 -- 2 All about uncertainty 7 -- 2.1 Introduction 7 -- 2.2 Taxonomies of uncertainty 9 -- 2.3 Sources of imperfect information 15 -- 2.4 Uncertainty and entropy 18 -- 2.5 Human reasoning under uncertainty 20 -- 2.6 Ground rules for formal systems 29 -- 2.7 Summary 34 -- 3 Quantitative methods for reasoning with imperfect information 37 -- 3.1 Introduction 38 -- 3.2 The main models 39 -- 3.3 Other important models 65 -- 3.4 Computational techniques 73 -- 3.5 Quantified logics 97 -- 3.6 Summary 105 -- 4 Qualitative methods for reasoning with imperfect information 107 -- 4.1 Introduction 108 -- 4.2 Qualitative physics 109 -- 4.3 Interval-based systems 117 -- 4.4 Abstractions of quantitative systems 123 -- 4.5 Defeasible reasoning 134 -- 4.6 Combining and relating formalisms 155 -- 4.7 Summary 166 -- 5 A framework for studying different methods 169 -- 5.1 Introduction 169 -- 5.2 Eclecticism and the integration problem 172 -- 5.3 A general framework 184 -- 5.4 Examples of integration and incompleteness 191 -- 5.5 Summary 199 -- 6 Using qualitative algebras 201 -- 6.1 Introduction 201 -- 6.2 An algebra with qualitative values 202 -- 6.3 An algebra of interval values 209 -- 6.4 Other qualitative algebras 219 -- 6.5 An example of handling integration 221 -- 6.6 An example of handling incompleteness 228 -- 6.7 Summary 233 -- 7 The theory of qualitative change 237 -- 7.1 Introduction 237 -- 7.2 Basic concepts of qualitative change 239 -- 7.3 Causal reasoning 247 -- 7.4 Evidential reasoning 263 -- 7.5 Handling incompleteness and integration 273 -- 7.6 Summary 280 -- 8 Further results in the theory of qualitative change 283 -- 8.1 Synergy 283 -- 8.2 Propagation in multiply-connected networks 296 -- 8.3 Intercausal reasoning 311 -- 8.4 Related work 322 -- 8.5 Summary 327 -- 9 Implementing the qualitative approaches 329 -- 9.1 Introduction 330 -- 9.2 Implementing qualitative algebras 330 -- 9.3 Implementing the theory of qualitative change 336 -- 9.4 Summary 351 -- 10 Qualitative protein topology prediction 353 -- 10.1 Introduction 354 -- 10.2 Protein topology prediction 356 -- 10.3 A first approach to modelling the uncertainty 358 -- 10.4 A second approach to modeling the uncertainty 373 -- 10.5 Discussion 387 -- 10.6 Summary 389 -- 11 Summary and conclusions 391 -- 11.1 Summary 391 -- 11.2 Conclusions 394.".
- 2001030492 title "Qualitative methods for reasoning under uncertainty / Simon Parsons.".
- 2001030492 type "text".