Knowledge Representation

The First Order Predicate Logic
Production Systems
Semantic Nets
Strategies for Resolution by Refutation

Frames and Scripts Formalisms
Resolution in Predicate Logic
Unification

Knowledge Acquisition and learning

Learning from examples and analogy
Rote learning

Neural Learning
Integrated Approach

Planning and Robotics

STRIPS
ABSTRIPS
Subsumption architecture based planning

NOAH and MOLGEN planners
preliminary ideas of distributed and real time planning

Expert Systems

fundamental blocks
case studies in various domains

concept of shells
connectionist expert systems

Introduction to Natural Language Understanding

problems of ambiguity
ellipsis and polysemy
Natural Language Interfaces

lexicalization and parsing
Transition and Augmented Transition networks

Introduction to Computer Vision

Edge detection
Point Correspondence and Stereopsis

Surface directions

Basics of Neural Networks

Perceptions
Feed forward nets Back propagation algorithm

Preliminary understanding of unsupervised learning.

Knowledge Representation

The First Order Predicate Logic
Production Systems
Semantic Nets
Strategies for Resolution by Refutation

Frames and Scripts Formalisms
Resolution in Predicate Logic
Unification

Knowledge Acquisition and learning

Learning from examples and analogy
Rote learning

Neural Learning
Integrated Approach

Planning and Robotics

STRIPS
ABSTRIPS
Subsumption architecture based planning

NOAH and MOLGEN planners
preliminary ideas of distributed and real time planning

Expert Systems

fundamental blocks
case studies in various domains

concept of shells
connectionist expert systems

Introduction to Natural Language Understanding

problems of ambiguity
ellipsis and polysemy
Natural Language Interfaces

lexicalization and parsing
Transition and Augmented Transition networks

Introduction to Computer Vision

Edge detection
Point Correspondence and Stereopsis

Surface directions

Basics of Neural Networks

Perceptions
Feed forward nets Back propagation algorithm

Preliminary understanding of unsupervised learning.

Introduction

Introduction to Artificial Intelligence
Background and Applications
Turing Test and Rational Agent approaches to AI

Introduction to Intelligent Agents
their structure
behavior and environment

Problem Solving and Searching Techniques

Problem Characteristics
Production Systems
Control Strategies
Breadth First Search
Heuristics Search Techniques: Best First Search
A* algorithm, Constraint Satisfaction Problem

Means-End Analysis
Introduction to Game Playing
Min-Max and Alpha-Beta pruning algorithms
Depth First Search
Hill climbing and its Variations

Knowledge Representation

Introduction to First Order Predicate Logic
Resolution Principle
Unification
Semantic Nets
Production Rules

Conceptual Graphs
Programming in Logic (PROLOG)
Conceptual Dependencies
Frames
Scripts

Dealing with Uncertainty and Inconsistencies

Truth Maintenance System
Default Reasoning
Probabilistic Reasoning
Bayesian Probabilistic Inference
Possible World Representations

Understanding Natural Languages
Parsing Techniques
Context-Free and Transformational Grammars
Recursive and Augmented Transition Nets

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