IT2051 KNOWLEDGE ENGINEERING SYLLABUS | ANNA UNIVERSITY BTECH IT 8TH SEMESTER SYLLABUS REGULATION 2008 2011 2012-2013 BELOW IS THE ANNA UNIVERSITY 8TH SEMESTER B.TECH INFORMATION TECHNOLOGY DEPARTMENT SYLLABUS, TEXTBOOKS, REFERENCE BOOKS,EXAM PORTIONS,QUESTION BANK,PREVIOUS YEAR QUESTION PAPERS,MODEL QUESTION PAPERS, CLASS NOTES, IMPORTANT 2 MARKS, 8 MARKS, 16 MARKS TOPICS. IT IS APPLICABLE FOR ALL STUDENTS ADMITTED IN THE YEAR 2011 2012-2013 (ANNA UNIVERSITY CHENNAI,TRICHY,MADURAI, TIRUNELVELI,COIMBATORE), 2008 REGULATION OF ANNA UNIVERSITY CHENNAI AND STUDENTS ADMITTED IN ANNA UNIVERSITY CHENNAI DURING 2009
IT2051 KNOWLEDGE ENGINEERING L T P C
3 0 0 3
UNIT I INTRODUCTION 9
Key concepts – Why knowledge Representation and Reasoning – Language of first
order Logic – Syntax, Semantics Pragmatics – Expressing Knowledge – Levels of
Representation – Knowledge Acquisition and Sharing – Sharing Ontologies – Language
Ontologies –Language Patterns – Tools for Knowledge Acquisition
UNIT II RESOLUTION AND REASONING 9
Proportional Case – Handling Variables and Qualifies – Dealing with Intractability –
Reasoning with Horn Clauses - Procedural Control of Reasoning – Rules in Production –
Description Logic - Vivid Knowledge – Beyond Vivid.
UNIT III REPRESENTATION 9
Object Oriented Representations – Frame Formalism – Structured Descriptions –
Meaning and Entailment - Taxonomies and Classification – Inheritance – Networks –
Strategies for Defeasible Inheritance – Formal Account of Inheritance Networks.
UNIT IV DEFAULTS, UNCERTAINTY AND EXPRESSIVENESS 9
Defaults – Introduction – Closed World Reasoning – Circumscription – Default Logic
Limitations of Logic – Fuzzy Logic – Nonmontonic Logic – Theories and World –
Semiotics – Auto epistemic Logic - Vagueness – Uncertainty and Degrees of Belief –
Noncategorical Reasoning – Objective and Subjective Probability.
UNIT V ACTIONS AND PLANNING 9
Explanation and Diagnosis – Purpose – Syntax, Semantics of Context – First Order
Reasoning – Modal Reasoning in Context – Encapsulating Objects in Context – Agents
– Actions – Situational Calculus – Frame Problem – Complex Actions – Planning –
Strips – Planning as Reasoning – Hierarchical and Conditional Planning.
TOTAL: 45 PERIODS
84
TEXT BOOK
1. Ronald Brachman, Hector Levesque “Knowledge Representation and Reasoning “,
the Morgan Kaufmann Series in Artificial Intelligence 2004
REFERENCES
1. John F. Sowa, “ Knowledge Representation: Logical, Philosophical, and
Computational Foundations”, 2000
2. Arthur B. Markman, “Knowledge Representation”, Lawrence Erlbaum Associates,1998
IT2051 KNOWLEDGE ENGINEERING L T P C
3 0 0 3
UNIT I INTRODUCTION 9
Key concepts – Why knowledge Representation and Reasoning – Language of first
order Logic – Syntax, Semantics Pragmatics – Expressing Knowledge – Levels of
Representation – Knowledge Acquisition and Sharing – Sharing Ontologies – Language
Ontologies –Language Patterns – Tools for Knowledge Acquisition
UNIT II RESOLUTION AND REASONING 9
Proportional Case – Handling Variables and Qualifies – Dealing with Intractability –
Reasoning with Horn Clauses - Procedural Control of Reasoning – Rules in Production –
Description Logic - Vivid Knowledge – Beyond Vivid.
UNIT III REPRESENTATION 9
Object Oriented Representations – Frame Formalism – Structured Descriptions –
Meaning and Entailment - Taxonomies and Classification – Inheritance – Networks –
Strategies for Defeasible Inheritance – Formal Account of Inheritance Networks.
UNIT IV DEFAULTS, UNCERTAINTY AND EXPRESSIVENESS 9
Defaults – Introduction – Closed World Reasoning – Circumscription – Default Logic
Limitations of Logic – Fuzzy Logic – Nonmontonic Logic – Theories and World –
Semiotics – Auto epistemic Logic - Vagueness – Uncertainty and Degrees of Belief –
Noncategorical Reasoning – Objective and Subjective Probability.
UNIT V ACTIONS AND PLANNING 9
Explanation and Diagnosis – Purpose – Syntax, Semantics of Context – First Order
Reasoning – Modal Reasoning in Context – Encapsulating Objects in Context – Agents
– Actions – Situational Calculus – Frame Problem – Complex Actions – Planning –
Strips – Planning as Reasoning – Hierarchical and Conditional Planning.
TOTAL: 45 PERIODS
84
TEXT BOOK
1. Ronald Brachman, Hector Levesque “Knowledge Representation and Reasoning “,
the Morgan Kaufmann Series in Artificial Intelligence 2004
REFERENCES
1. John F. Sowa, “ Knowledge Representation: Logical, Philosophical, and
Computational Foundations”, 2000
2. Arthur B. Markman, “Knowledge Representation”, Lawrence Erlbaum Associates,1998
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