Java implementation of algorithms from Norvig And Russell's "Artificial Intelligence - A Modern Approach 4th Edition." You can use this in conjunction with a course on AI, or for study on your own. We're loooking for solid contributors to help.

• Different types of Search APIs (i.e SearchActionsFunction, SearchStateFunction, SearchActionFunction) for different use cases.
• Add Bidirectional Search implementation.
• GraphPriorityQueueSearch and TreePriorityQueueSearch potentially need a better mechanism for determining state containment and removal of a node with a lower priority.
• Recursive-Best-First-Search - look to improve/tidy up implementation.
• Add a mechanism for gathering search metrics. Want to make more flexible and introduce less clutter into the core algorithms in order to support.

• Reconsider using a separate state oriented Search API (as opposed to the current sequence of actions).
• Follow up on Genetic Algorithm experiments on N-Queens problem (based on aima3e implementation) to determine if performs no better than random selection.

• Add tests for all implemented algorithms.

• Add tests for all implemented algorithms.

• Add tests for all implemented algorithms.

• Environment definition: Consider specifying Dimensions in API, see pg. 42.
• Environment Simulator referenced on pg. 45 (this will be a re-factor of a lot of the environment stuff in aima3e-core).

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• http://www.pythontutor.com/
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