AI only became mainstream in 2023, it has been around for much longer than people think. The idea of artificial intelligence has actually been around for thousands of years. Early inventors created objects that were called “automations” that could work on their own without the need for human intervention. However though these primitive forms of AI existed, it was not until the 20th century that the groundwork for AI as we know it today was created. Alan Turing’s groundbreaking work in the 1950s and the subsequent Turing Test set the stage for many others to continue developing AI. Today AI impacts most aspects of our daily lives if we realise it or not and has become an important component in how we experience and play games.
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AI isn’t just writing code or generating art for online games, it is also changing how we play them. It has impacted several different elements of the game playing process. AI uses many of the same techniques when it analyses data in different life and business scenarios that are similar to the strategies that players use when they are playing Blackjack. A skillful player needs to incorporate several different strategies in order to be successful when playing blackjack – So how are these strategies used in AI?
Game Theory is based around the interactions that take place between the different players and the dealer and will ultimately affect the betting decisions that are made by a player. The choices that each player makes will affect the final outcome of the game. Players use mathematical frameworks when making independent decisions and consider various different factors when they decide when and how to place their bets throughout the course of the game. Players must consider the cards that they hold in their hand and those that the dealer has revealed and try to read the dealer’s behaviour as well the reactions of the other players in the game. The dealer has to play by a set of rules and it is up to the player to decide it is worth taking the risk to maximise their potential winnings within the constraints of the game.
AI uses game theory as a model for when making strategic decisions and creates algorithms that will help it to predict the moves of competitors and develop the best strategies to create a successful outcome. This can be a very effective tool for businesses when they are making important decisions and adapting operating strategies to achieve good results.
Decision Trees are another method that blackjack players use when playing. This is where they map out all of the choices that are possible and the consequences in a branch format. Each branch represents a chance event of decision that could occur as the result of a given decision and subsequent action that is associated with that action. Each new blackjack hand starts at the root of the decision tree where players must decide if they will hit, stand, split, or double down. The choices that the players make will be dependent on different factors such as which cards are drawn as well as the dealer’s hand. By analysing all of the possible outcomes the player can make decisions and actions that hopefully can help them to achieve the best outcome that is statistically possible.
AI effectively uses decision trees as a supervised learning algorithm where they model decisions and predict the possible outcomes from features that have been input into the algorithm. The decision trees resemble flow charts that have a node that represents a decision that is based on a feature, the branches are the possible outcomes and the leaves represent the final classification or prediction. AI uses decision trees in classification tasks where a label or category is assigned to the input based on its features which can help it distinguish the difference between the different types of input such as legitimate or spam emails. Regression tasks can predict a constant output that is based on the input features such as the value of stocks. It can also be used in healthcare to determine the best course of action for a patient’s treatment regime
Probabilistic thinking is one of the core strategies that is used when playing blackjack and is based around the likelihood of the different possible outcomes. In blackjack, players are continually estimating what the chances of busting, hitting 21, or beating the dealer are. There are fifty-two cards in the deck and there are more cards that have a value of ten than others, therefore card counting for example is a real time probabilistic model that adjusts the possibility of certain cards appearing based on what cards have already been played. When players choose to hit or stand they are using probability in trying to determine if they will be helped or harmed by the next card that appears.
AI uses probabilistic thinking to create models and manage any uncertainties that arise during the decision making process. This method helps AI systems to effectively operate in the myriad of complex real work environments where not all of the information is available. AI can also use this methodology to make intelligent and informed decisions even if there is ambiguity or uncertainty as part of the equation and can use a mathematical framework to manage these eventualities.
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