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Problem Solving in Artificial Intelligence
The reflex agent of AI directly maps states into action. Whenever these agents fail to…
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Constraint Satisfaction Problems in Artificial Intelligence
Constraint Satisfaction Problems in Artificial Intelligence We have seen so many techniques like Local search,…
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Alpha-beta Pruning in Artificial Intelligence
Alpha-beta pruning is an advance version of MINIMAX algorithm. The drawback of minimax strategy is…
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Minimax Strategy
In artificial intelligence, minimax is a decision-making strategy under game theory, which is used to minimize the losing chances…
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Adversarial Search in Artificial Intelligence
AI Adversarial search: Adversarial search is a game-playing technique where the agents are surrounded by…
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Differences in Artificial Intelligence
Difference between Intelligence and Artificial Intelligence IntelligenceArtificial IntelligenceIt is a natural process or quality given…
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Hill Climbing Algorithm in AI
State-space Landscape of Hill climbing algorithm To understand the concept of hill climbing algorithm, consider…
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Local Search Algorithms and Optimization Problem
The informed and uninformed search expands the nodes systematically in two ways: keeping different paths in the memory andselecting…
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Heuristic Functions in Artificial Intelligence
Heuristic Functions in AI: As we have already seen that an informed search make use…
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Uninformed Search Strategies – Artificial Intelligence
Breadth-first search (BFS) It is a simple search strategy where the root node is expanded…