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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 that it explores…
July 15, 2021 · Rajil TLLatest articles
Advanced
Minimax Strategy
In artificial intelligence, minimax is a decision-making strategy under game theory, which is used to minimize the losing chances in a game…
July 15, 2021 · Rajil TLAdvanced
Adversarial Search in Artificial Intelligence
AI Adversarial search: Adversarial search is a game-playing technique where the agents are surrounded by a competitive environment.…
July 15, 2021 · Rajil TLAdvanced
Differences in Artificial Intelligence
Difference between Intelligence and Artificial Intelligence Intelligence Artificial Intelligence It is a natural process or quality given to…
July 15, 2021 · Rajil TLAdvanced
Hill Climbing Algorithm in AI
State-space Landscape of Hill climbing algorithm To understand the concept of hill climbing algorithm, consider the below landscape…
July 15, 2021 · Rajil TLAdvanced
Local Search Algorithms and Optimization Problem
The informed and uninformed search expands the nodes systematically in two ways: keeping different paths in the memory and selecting the best…
July 15, 2021 · Rajil TLAdvanced
Heuristic Functions in Artificial Intelligence
Heuristic Functions in AI: As we have already seen that an informed search make use of heuristic functions…
July 15, 2021 · Rajil TLAdvanced
Uninformed Search Strategies – Artificial Intelligence
Breadth-first search (BFS) It is a simple search strategy where the root node is expanded first, then covering…
July 15, 2021 · Rajil TLAdvanced
Problem-solving in Artificial Intelligence
The reflex agents are known as the simplest agents because they directly map states into actions. Unfortunately, these agents fail…
July 15, 2021 · Rajil TLAdvanced
AI – Agents & Environments
An AI system is composed of an agent and its environment. The agents act in their environment. The…
July 15, 2021 · Rajil TL