2. Classification algorithms

3. Min-Max algorithm

2. Hill climbing algorithm

3. Dempster-Shafer theory for uncertainty

4. Additive rule model

5. Fuzzy Logic

2. Genetic algorithm-Fitness function

2. Unsupervised Neural Network

3. Fuzzy Set Alpha cut

4. Genetic algorithms Properties

2. Conjunction/Disjunction

3. MIN MAX Algorithm

4. A*/Greedy best-first/Lowest cost-first

5. Fuzzy Set Alpha cut

6. Sigmoid function

7. Reinforcement learning

2.Agent

3.First order logic

2.Semi-dynamic environment

3.Heuristic is admissible and heuristic is monotonous

4.Greedy BFS,A* search,Recursive BFS,Iterative-deepening A* Search)

5.Min Max game tree search

6.Propositional logic(Equivalence, Contrapositive, Converse,Implication)

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2.Simple reflex agent

3.Propositional logic(How many models)

2.A* algorithm,informed search strategy

3.Propositional logic

4.First-Order Logic

5.Planning graph data structure

6.Knowledge base

7.Joint probability distribution

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