Machine Learning Methods for Common Sense Reasoning Processes: Interactive Models | by Xenia Naidenova (ed) | 2010 | ISBN: 9781605668109. Intelligent Computer Systems. Logic-Based Reasoning in the Framework of Artificial Intelligence. Integrative Model of Deductive-Inductive Commonsense Reasoning

January 29, 2010 by kutenk
Filed under: Computer Books 

Machine Learning Methods for Common Sense Reasoning Processes: Interactive Models

by Xenia Naidenova (ed)
2010 (424 pages)
ISBN:9781605668109

Containing leading research evolved from international investigations, this book presents an effective classification of logical rules used in the modeling of commonsense reasoning.

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Machine Learning Methods for Commonsense Reasoning Processes—Interactive Models









Preface
Chapter 1 – Knowledge in the Psychology of Thinking and Mathematics
ABSTRACT
INTRODUCTION
THE PROBLEM OF KNOWLEDGE
A HISTORICAL SURVEY OF THE IDEAS ABOUT KNOWLEDGE AND REASONING
CONCLUSION
REFERENCES

Chapter 2 – Logic-Based Reasoning in the Framework of Artificial Intelligence
ABSTRACT
INTRODUCTION
THE TASKS OF KNOWLEDGE ENGINEERING
METHODS OF KNOWLEDGE ACQUISITION
LOGIC-BASED REASONING
CONCLUSION
REFERENCES

Chapter 3 – The Coordination of Commonsense Reasoning Operations
ABSTRACT
INTRODUCTION
THREE INTERRELATED ALGEBRAIC LATTICES OF CLASSES, OBJECTS, AND PROPERTIES
THE CONCEPTS OF NAME AND EXPRESSION ON NAMES
REASONING AS A SPECIAL KIND OF COMPUTING
CONCLUSION
REFERENCES





Chapter 4 – The Logical Rules of Commonsense Reasoning
ABSTRACT
INTRODUCTION
THE RULES OF THE FIRST TYPE IN THE FORM OF “IF — THEN” ASSERTIONS
THE RULES OF THE SECOND TYPE OR COMMONSENSE REASONING RULES
RELATED WORKS
CONCLUSION
REFERENCES

Chapter 5 – The Examples of Human Commonsense Reasoning Processes
ABSTRACT
INTRODUCTION
AN EXAMPLE OF REASONING PROCESS IN PATTERN RECOGNITION WITH THE USE OF KNOWLEDGE BASE
AN EXAMPLE OF REASONING IN THE GAME “THE LETTERS’ LOTO”
CONCLUSION
REFERENCES




Chapter 6 – Machine Learning (ML) as a Diagnostic Task
ABSTRACT
INTRODUCTION
FUNDAMENTAL DIAGNOSTIC (CLASSIFICATION) TASK
MACHINE LEARNING PROBLEMS AS THE SEARCH FOR GOOD CLASSIFICATION TESTS
ALGEBRAIC MODEL OF DIAGNOSTIC TASK
DECISION TREES: DIAGNOSTIC APPROACH
RELATED WORKS
CONCLUSION
REFERENCES

Chapter 7 – The Concept of Good Classification (Diagnostic) Test
ABSTRACT
INTRODUCTION
DEFINITION OF GOOD DIAGNOSTIC TEST
THE CHARACTERIZATION OF GOOD DIAGNOSTIC (CLASSIFICATION) TESTS
INFERRING ALL GOOD CLASSIFICATION TESTS
SEARCHING FOR AN EFFECTIVE REALIZATION OF BACKGROUND ALGORITHM
RELATED WORKS
CONCLUSION
REFERENCES

Chapter 8 – The Duality of Good Diagnostic Tests
ABSTRACT
INTRODUCTION
CORRESPONDENCE OF GALOIS FOR GOOD CLASSIFICATION TEST DEFINITION
REDEFINITION OF CLASSIFICATION TESTS AS DUAL ELEMENTS OF INTERCONNECTED LATTICES
GENERATING GOOD DIAGNOSTIC TESTS AS DUAL ELEMENTS OF INTERCONNECTED LATTICES
INDUCTIVE RULES FOR CONSTRUCTING GOOD CLASSIFICATION TESTS
THE BOUNDARY INDUCTIVE TRANSITIONS
REDUCING THE RULES OF INDUCTIVE TRANSITIONS TO THE DEDUCTIVE AND INDUCTIVE COMMONSENSE REASONING RULES OF THE SECOND TYPE
NIAGARA: NON-INCREMENTAL ALGORITHM OF ALL GMRTS GENERATION BASED ON THE GENERALIZATION RULE
RELATED WORKS
CONCLUSION
REFERENCES
APPENDIX

Chapter 9 – Towards an Integrative Model of Deductive-Inductive Commonsense Reasoning
ABSTRACT
INTRODUCTION
THE DECOMPOSITION OF INFERRING GOOD DIAGNOSTIC TESTS INTO SUBTASKS
SPECIAL OPERATIONS FOR FORMING SUBTASKS
RELATED WORKS
CONCLUSION
REFERENCES
APPENDIX 1
APPENDIX 2



Chapter 10 – Towards a Model of Fuzzy Commonsense Reasoning
ABSTRACT
INTRODUCTION
SOME FAST HEURISTICS FOR INFERRING APPROXIMATELY MINIMAL DIAGNOSTIC TESTS (AMDTS)
A MODEL OF COMMONSENSE REASONING BY ANALOGY BASED ON THE SETS OF AMDTS
DISCOVERING APPROXIMATE LOGICAL RULES
THE DIAGNOSTIC TEST MACHINE
RELATED WORKS
CONCLUSION
REFERENCES
APPENDIX: AN EXAMPLE OF DIAGNOSTIC TEST MACHINE APPLICATION



Chapter 11 – Object-Oriented Technology for Expert System Generation
ABSTRACT
INTRODUCTION
AN OBJECT-ORIENTED MODEL FOR DATA AND KNOWLEDGE REPRESENTATION
AN APPROACH TO EXPERT SYSTEM DEVELOPMENT
THE TOOL-KITS FOR EXPERT SYSTEM GENERATION
EXAMPLES OF USING THE EXPERT SYSTEM TO ASSIST IN CHOOSING THE TYPES OF ARIEL AND SATELLITE SURVEYS FOR GEO-MINERALOGICAL MAPPING
RELATED WORKS
CONCLUSION
REFERENCES

Chapter 12 – Case Technology for Psycho-Diagnostic System Generation
ABSTRACT
INTRODUCTION
A TECHNOLOGY FOR FAST PROTOTYPING COMPLETELY DEFINED PSYCHO-DIAGNOSTIC EXPERT SYSTEMS
A TECHNOLOGY OF ADAPTIVE PROGRAMMING PDSS
RELATED WORKS
CONCLUSION
REFERENCES

Chapter 13 – Commonsense Reasoning in Intelligent Computer Systems
ABSTRACT
INTRODUCTION
INTEGRATION OF DATA AND KNOWLEDGE
STRUCTURAL ORGANIZATION OF DATA AND KNOWLEDGE
DIFFICULTIES OF MACHINE LEARNING
FUTURE TRENDS OR KEY AREAS OF POTENTIAL FUTURE RESEARCH ON MACHINE LEARNING AS COMMONSENSE REASONING
CONCLUSION
REFERENCES

Conclusion



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