AI Revolution In Gaming Industry Training Ppt

Slide 1

This slide gives an overview of Artificial Intelligence in gaming. It refers to a responsive and adaptive video gaming experience AI powered Non-Player Characters or NPCs achieve that are creative and behave as if a human player is in-charge.

Slide 2

This slide highlights the importance of Artificial Intelligence in gaming as it aims to improve the gaming experience for a player. AI allows developers to create console-like experiences on a varied devices like smartphones, VR headsets, and other gadgets.

Slide 3

This slide discusses Non-Player Characters or NPCs which are the most common targets for gaming AI. These are intelligent gaming characters that Artificial Intelligence algorithms and systems control. 

Instructor’s Notes: For example, consider the game named Monster Hunter: World; there's practically a living ecosystem in there with AI-powered monsters going about their business. The game's director, Yuya Tokuda, even mentions NPCs fighting each other at a mere whim in the game. He recalls a time in the game when his character was fighting a monster, when another one barged in, smashed the first creature with a stone, and fled.

Slide 4

This slide lists the applications of Artificial Intelligence in the field of gaming. These applications include pathfinding, decision-making, data mining, procedural content generation, player experience modeling, and cheating.

Instructor’s Notes: 

• Pathfinding: Pathfinding concerns getting from one point to another. The most significant aspect of pathfinding is the gaming environment as a whole. As you move around the game environment, the game AI can generate its landscape or world. Your motions, playing style, in-game decisions, appearance, and techniques can all provide feedback to the AI, which can be used to construct the terrain
• Decision-Making: The AI will allow your decisions to have a more significant impact on the action. For example, in Red Dead Redemption 2, NPC behavior and contact with you are influenced by factors such as bloodstains on your clothes or the hat you're wearing
• Data Mining: Artificial Intelligence enables game designers and studios to do data mining on players’ behavior to better understand how players end up playing the game, which areas they play the most, and why they stop playing. This enables game producers to improve gameplay or find new ways to monetize their games
• Procedural Content Generation: Artificial Intelligence (AI) can be used in games to automatically generate fresh content, interactive narrative, environmental conditions, levels, and even music
• Player Experience Modeling: Game AI can determine a player's skill level and emotional condition and customize the game in light of this data. This might even include dynamic game difficulty balancing, in which the game's complexity is altered in real-time based on the player's skill level. Game AI may even assist in determining the player's intent
• Cheating: The most typical method of cheating by NPCs is when they use information that the players in that situation do not have access to. For example, in a fighting game, an NPC may be given human-like senses such as vision and hearing, yet they may cheat by monitoring the player's position on the game engine

Slide 5

This slide demonstrates the most commonly used AI techniques in the field of gaming. These techniques are either deterministic or non-deterministic.

Instructor’s Notes: 

• Deterministic AI Techniques: The most-used game AI algorithms are deterministic AI techniques. Deterministic conduct or performance is predetermined and is easy to predict, and there isn't a single element of uncertainty in these procedures. They're quick and straightforward to set up, comprehend, test, and debug. The problem is that deterministic approaches require developers to plan for all conceivable cases and code all behavior manually
• Non-Deterministic AI Techniques: This is contrary to deterministic behavior. There is some uncertainty in non-deterministic behavior (which depends on the AI method used and how well that AI method is understood). For instance, an NPC learns a player's actions and tactics and changes to counter them. A neural network, Bayesian approach, or genetic algorithm could be used to learn this way

Slide 6

This slide lists advantages of Artificial Intelligence in gaming. These benefits include smart & realistic games, saving time & money, easier to play, and eliminates predictability. 

Instructor’s Notes: 

• Smart & realistic games: The NPCs in these games develop by self-learning from their activities, using techniques such as pattern learning and reinforcement learning. Because the games interpret and adapt to the player's actions, they become more lifelike. Several programs can generate virtual worlds without the use of human interfaces
• Saves time & cost: Usually, creating a game necessitates a significant amount of time and money. And you have no idea how well the market will receive the game. AI can assist in minimizing the time it takes to create a game and save a lot of money that would otherwise be used on development
• Easier to play: The use of AI aids in making the game more intuitive. Furthermore, the game can employ AI to determine the user's skill level and competence and alter the game's difficulty level in real-time to match that
• Eliminates predictability: When nondeterministic behavior is applied, the game becomes unpredictable, indicating that even the game's developer cannot foresee what will happen in the game. This delivers a novel, refreshing experience and extends the game's playability by preventing it from becoming predictable and uninteresting 

Slide 7

This slide lists the possible AI innovations in the gaming industry. These include cloud-based and blockchain-based gaming along with voice recognition in game, VR gaming, and improved mobile gaming. 

Instructor’s Notes: 

• Cloud-based gaming: Cloud gaming is a concept that allows users to play games without downloading and installing them. This innovation has been in development for a long time, but it is still not widely used
• Blockchain-based gaming: Blockchain gaming is a relatively unknown concept. It implies that both gamers and developers must collaborate on a blockchain platform to play these games. At the same time, to be a part of this gaming community, players must purchase or own digital properties
• Voice or audio recognition in games: The use of audio recognition in gaming will alter our perceptions of games. In gaming, speech recognition allows the user to manage game movements, monitor controls, and even eliminate the need for a controller
• VR gaming and wearable support: The advancements in Augmented Reality, Virtual Reality, and Mixed Reality have raised the bar for immersive games based on Virtual Reality and Mixed Reality, making them more realistic and innovative in their approach to entertainment. The finest example of a wearable gadget used for wearable gaming is the Oculus Quest, a fully-featured PC-quality Virtual Reality device
• Improved mobile gaming: Mobile gaming is a new trend that allows players to play an unlimited number of games. Phone manufacturers have been concentrating on making smartphones that can handle high resolution and graphics