conclusion.ipynb

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    "# Conclusion\n",
    "Given the results shown in the `benchmark` notebook, one can see that the computation time is dependant on many factors. Thus, to have an effective AI, one should optimize it as good as possible. The usage of *Alpha-Beta-Pruning* and *Memoization* showed to be very effective in optimizing the, per se slow, *Minimax*-Algorithm. Also, the hardware should be taken into account, as different computer's can show big differences regarding the total computation time of the AI.\n",
    "\n",
    "Another conclusion we can draw from this work is that, when coding complex programs, it makes sense to frequently test the code, especially via *unit testing* to see, if recent changes have made the AI work in undesired ways. Documenting and testing the code can save a lot of debugging time, in case errors occur. To have a good overview over the written AI, additionally to the unit tests, one should implement *integration tests* to see and evaluate the performance of the AI so that, after recent code changes, one can see whether the changes did improve the performance or if it actually made the AI perform worse.\n",
    "\n",
    "## Further possible improvements\n",
    "There are many possible points where improvements can happen. For once, there is *iterative deepening* which can be implemented to change the analyzing depth dynamically. *Game move ordering* and thus *Alpha-Beta-Pruning* could also benefit from that implementation.\n",
    "\n",
    "Another point is *quiescence search* which greatly reduces the *horizon effect*. This effect appears, when the chess AI calculates a \"best\" move, which would not be considered with a slightly higher depth, as the move could result in a bad state for the AI in the future.\n",
    "\n",
    "The usage of *python* instead of a more low-level programming language like *C* also presents a disadvantage regarding the performance. While *python* makes it easier to implement the AI, the general performance of *python* is very slow in comparison to *C* or other low-level languages.\n",
    "\n",
    "In conclusion, various options to optimize the AI are possible and should be evaluated by comparing the advantages and disadvantages given by each option."
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