BDS602 – Artificial Intelligence and Machine Learning Solved Important Questions with answers Module – 1 1] What is Artificial Intelligence? Discuss the 4 categories of AI, foundations and history of AI. 2] Identify the Turing test approach to provide a…
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Answer: Heuristic Functions (h(n)) estimate the cost from node n to the goal. A heuristic is: Examples (8-puzzle): These help A* search prune bad paths and find optimal solutions faster
Answer: Informed search (heuristic search) uses additional knowledge (heuristics) to guide search more efficiently. A heuristic function h(n) estimates the cost from node n to the goal. Greedy Best-First Search: A* Search: Example Heuristics: A* search is efficient and widely…
Answer: Uninformed search (blind search) explores the search space without any domain-specific knowledge, relying only on the problem definition. Breadth-First Search (BFS): Depth-First Search (DFS): These strategies differ primarily in node expansion order and resource usage
Answer: A Problem-Solving Agent is a goal-based agent that decides actions by formulating and solving problems. Components of a problem: Operation: This agent searches a state space and builds a search tree, where: The objective is to find a sequence…
Answer: An Intelligent Agent is an autonomous entity that perceives its environment through sensors and acts upon it through actuators to achieve goals. Key concepts: Types of environments: Rationality: Agent structure includes:
Artificial Intelligence (AI) is the branch of computer science that is concerned with building smart machines capable of performing tasks that typically require human intelligence. These tasks include problem-solving, learning, reasoning, language understanding, and perception. Foundations of AI come from…
