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Saturday, 18 February 2012

IT2051 KNOWLEDGE ENGINEERING -SYLLABUS


IT2051 KNOWLEDGE ENGINEERING | ANNA UNIVERSITY BTECH IT 8TH SEM SYLLABUS 

 IT2051 KNOWLEDGE ENGINEERING
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
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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