DecisionTreeDecision-MakingGameTheoryA*AlgorithmSearchAlgorithmPathCostCostFunctionOptimizationMachineLearningHeuristicFunctionProblemFormulationAlgorithmicComplexityReinforcementLearningArtificialIntelligenceConstraintSatisfactionUtilityFunctionBreadth-FirstSearchGoalRecognitionSearchStrategyAIAgentStateSpaceActionsConstraintsPlanningAlgorithmTransitionModelStateRepresentationDepth-FirstSearchAutomatedReasoningPathfindingExploitationComputationalEfficiencyExplorationGoalStateProblem-SolvingAIInitialStateDecisionTreeDecision-MakingGameTheoryA*AlgorithmSearchAlgorithmPathCostCostFunctionOptimizationMachineLearningHeuristicFunctionProblemFormulationAlgorithmicComplexityReinforcementLearningArtificialIntelligenceConstraintSatisfactionUtilityFunctionBreadth-FirstSearchGoalRecognitionSearchStrategyAIAgentStateSpaceActionsConstraintsPlanningAlgorithmTransitionModelStateRepresentationDepth-FirstSearchAutomatedReasoningPathfindingExploitationComputationalEfficiencyExplorationGoalStateProblem-SolvingAIInitialState

Components of Problem Formulation - Call List

(Print) Use this randomly generated list as your call list when playing the game. There is no need to say the BINGO column name. Place some kind of mark (like an X, a checkmark, a dot, tally mark, etc) on each cell as you announce it, to keep track. You can also cut out each item, place them in a bag and pull words from the bag.


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  1. Decision Tree
  2. Decision-Making
  3. Game Theory
  4. A* Algorithm
  5. Search Algorithm
  6. Path Cost
  7. Cost Function
  8. Optimization
  9. Machine Learning
  10. Heuristic Function
  11. Problem Formulation
  12. Algorithmic Complexity
  13. Reinforcement Learning
  14. Artificial Intelligence
  15. Constraint Satisfaction
  16. Utility Function
  17. Breadth-First Search
  18. Goal Recognition
  19. Search Strategy
  20. AI Agent
  21. State Space
  22. Actions
  23. Constraints
  24. Planning Algorithm
  25. Transition Model
  26. State Representation
  27. Depth-First Search
  28. Automated Reasoning
  29. Pathfinding
  30. Exploitation
  31. Computational Efficiency
  32. Exploration
  33. Goal State
  34. Problem-Solving AI
  35. Initial State