Computer vision Empirical approach Using lines on pictures of real-world objects, the edges between shapes could serve to identify the number of objects in it. The different intersections possible generally form two types of trihedral vertexes to identify shapes: arrow…
6. Search: Games, Minimax, and Alpha-Beta
How a computer can play games (like Chess) How human play chess: mixing analysis, strategy, tactics to choose a move If-Then rules Look ahead and evaluate British museum algorithm To evaluate the potential of the next situation of the board,…
5. Search: Optimal, Branch and Bound, A*
Optimal search trees Finding the best possible sequence of choices. Getting closer to the goal is generally considered good, but it may lead to dead ends or non-optimal choices. Oracle Knowing the minimum path length to the goal, the search…
4. Search: Depth-First, Hill Climbing, Beam
Search trees Search trees represent all the possibilities to search for the quickest path without coming back to previous paths. They are particularly used for quickest paths on maps with nodes (intersections), but not exclusively. They are primarily about choices,…
3. Reasoning: Goal Trees and Rule-Based Expert Systems
Reporting on a Goal Tree program A Goal Tree program can answer questions about its own behavior by reporting steps up (why questions) or down (how questions) in the actions it takes. Simon’s Ant The complexity of a program’s behavior…