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2. Artificial intelligence - Wikipedia

   en.wikipedia.org/wiki/Artificial_intelligence

   Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. [1]

3. Elements of AI - Wikipedia

   en.wikipedia.org/wiki/Elements_of_AI

   Elements of AI is a massive open online course (MOOC) teaching the basics of artificial intelligence. [1] The course, originally launched in 2018, is designed and organized by the University of Helsinki and learning technology company MinnaLearn. [2]

4. A* search algorithm - Wikipedia

   en.wikipedia.org/wiki/A*_search_algorithm

   // This is usually implemented as a min-heap or priority queue rather than a hash-set. openSet:= {start} // For node n, cameFrom[n] is the node immediately preceding it on the cheapest path from the start // to n currently known. cameFrom:= an empty map // For node n, gScore[n] is the currently known cost of the cheapest path from start to n ...

5. Neural network (machine learning) - Wikipedia

   en.wikipedia.org/wiki/Neural_network_(machine...

   Artificial neural networks are used for various tasks, including predictive modeling, adaptive control, and solving problems in artificial intelligence. They can learn from experience, and can derive conclusions from a complex and seemingly unrelated set of information.

6. Iterative deepening A* - Wikipedia

   en.wikipedia.org/wiki/Iterative_deepening_A*

   Iterative deepening A* (IDA*) is a graph traversal and path search algorithm that can find the shortest path between a designated start node and any member of a set of goal nodes in a weighted graph. It is a variant of iterative deepening depth-first search that borrows the idea to use a heuristic function to conservatively estimate the ...

7. Artificial Intelligence: A Modern Approach - Wikipedia

   en.wikipedia.org/wiki/Artificial_Intelligence:_A...

   AIMA gives detailed information about the working of algorithms in AI. The book's chapters span from classical AI topics like searching algorithms and first-order logic, propositional logic and probabilistic reasoning to advanced topics such as multi-agent systems, constraint satisfaction problems, optimization problems, artificial neural networks, deep learning, reinforcement learning, and ...