Diploma in Artificial Intelligence

Mode Of Examination

Online Examination

Number Of Question: 100 (1 Marks Each)

Total Time: 120 Min

Syllabus

Introduction to Artificial Intelligence:

History, linguistics, facts and agents of artificial-intelligence.

Intelligent Agents:

Various aspects of intelligent agents like their architecture and environments.

Problem Solving:

Different approaches to problem solving like uninformed and informed search strategies, local search and optimization problems and other constraints satisfaction problems.

Adversarial Search:

Approaches to game theory problems like state space search and alpha beta pruning.

Logical Agents:

Agents that reason logically, first order logic and the inference in first order logic which includes forward and backward reasoning.

Knowledge and Reasoning:

Inference in first order logic, rule based system, semantic net, frames, unification and lifting.

Planning and Acting in the Real World:

Different types of planning like partial order planning, graph planning and real world planning.

Uncertain Knowledge and Reasoning:

Uncertainty, probability notations and bayesian networks and various probabilistic reasoning systems. Hidden markov models, expert systems, Uncertain reasoning also includes semantic representation and object recognition.

Learning:

Learning from observations which includes decision trees, learning in neural and belief networks, reinforcement learning and knowledge in learning. It includes questions on inductive logic programming.

Communicating, Perceiving and Acting:

The agents that communicate which includes robotics, practical natural language processing and perceptions.

LISP Programming:

LISP programming.

AI Algorithms & Statistics:

Various other topics of artificial-intelligence, ai algorithms and statistics.