Intelligent Agents and Search Algorithms

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Intelligent Agents and Search Algorithms

This course is part of Introduction to Artificial Intelligence Specialization

Instructor: Rhonda Hoenigman

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Beginner level

Recommended experience

Flexible schedule

Learn at your own pace

Beginner level

Recommended experience

Flexible schedule

Learn at your own pace

What you'll learn

Explain rational agents, decision-making models, performance measures, and environment types (deterministic, stochastic, episodic, sequential).
Analyze search strategies using completeness, optimality, time complexity, and space complexity to evaluate performance trade-offs.
Formulate effective heuristics to guide informed search algorithms and improve efficiency and solution quality.
Implement search algorithms like A* and greedy best-first search to solve pathfinding and structured search problems.

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This course is part of the Introduction to Artificial Intelligence Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

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