QUESTION PAPERS:-
SYLLABUS:-
UNIT-I
Introduction: Introduction to intelligent agents
Problem solving: Problem formulation, uninformed search strategies, heuristics, informed search strategies, constraint satisfaction solving problems by searching, state space formulation, depth first and breadth first search, iterative deepening.
UNIT-II
Logical Reasoning: Logical agents , propositional logic, inferences, first-order logic, inferences in first order logic, forward chaining, backward chaining, unification, resolution.
UNIT-III
Game Playing: Scope of AI -Games, theorem proving, natural language processing, vision and speech processing, robotics, expert systems, AI techniques- search knowledge, abstraction.
UNIT-IV
Learning from observations: Inductive learning, learning decision trees, computational learning theory, Explanation based learning.
Applications: Environmental Science, Robotics, Aerospace, Medical Sciences etc.
SYLLABUS:-
UNIT-I
Introduction: Introduction to intelligent agents
Problem solving: Problem formulation, uninformed search strategies, heuristics, informed search strategies, constraint satisfaction solving problems by searching, state space formulation, depth first and breadth first search, iterative deepening.
UNIT-II
Logical Reasoning: Logical agents , propositional logic, inferences, first-order logic, inferences in first order logic, forward chaining, backward chaining, unification, resolution.
UNIT-III
Game Playing: Scope of AI -Games, theorem proving, natural language processing, vision and speech processing, robotics, expert systems, AI techniques- search knowledge, abstraction.
UNIT-IV
Learning from observations: Inductive learning, learning decision trees, computational learning theory, Explanation based learning.
Applications: Environmental Science, Robotics, Aerospace, Medical Sciences etc.
This post was last modified: 08-31-2018, 04:32 PM by Dipesh S.