Difference between revisions of "Artificial intelligence"

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A Character Decision-Making System for FINAL FANTASY XV was developed by combining behavior trees and state machines into a single structure called the AI Graph. This is how [https://aiwiki.ai/ artificial intelligence] is incorporated into FFXIV.  
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When it comes to innovation in video games, Artificial Intelligence (AI) has been a cornerstone of advancement. The role of AI in gaming is expanding at a rapid pace, making gameplay more interactive, challenging, and realistic. An AI Wiki can provide a plethora of information on how AI algorithms make the gaming landscape what it is today. One game that stands as a prime example of how AI could dramatically alter the gaming experience is Final Fantasy XV (FF15).
  
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The AI Graph tool allows level designers to make a multilayered decision-making system with visual node graphs.  
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==Final Fantasy XV: An Overview==
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Final Fantasy XV is an action role-playing game developed and published by Square Enix. Released in 2016, it’s the fifteenth installment in the Final Fantasy series. The game takes players on a captivating journey across a beautifully rendered open world. It follows Prince Noctis and his friends as they attempt to reclaim their kingdom from an enemy invasion. The game’s combat system, story, and visuals have received praise from critics and gamers alike.
  
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Each layer of the AI Graph has its own blackboard system, which can be used to register variables used in the game.  
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==How AI is Currently Utilized in Final Fantasy XV==
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Final Fantasy XV already employs some basic forms of AI, most notably in its non-playable characters (NPCs). The AI-controlled teammates in the game help you in battles and engage in scripted conversations. They have basic decision-making skills that enable them to dodge attacks, heal themselves, or assist you in executing combination moves. These NPCs also respond dynamically to the events in the game, offering a semblance of realism.
  
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All nodes are reused and have four methods: start the process, update process, finalizing process, and termination condition - allowing them to be executed in both behavior trees and state machines.
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==Potential Enhancements Through AI==
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===Advanced NPC Interactions===
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Advanced AI algorithms could make NPC interactions much more lifelike and unpredictable. Currently, NPCs follow a set script or pattern of actions. With machine learning algorithms, these characters could adapt and learn from the player’s actions. For example, if you constantly use a specific strategy in battle, the AI could recognize this and counter it, making gameplay more challenging.
  
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The Blackboard within the AI Graph enables sharing of variables between local blackboards or global blackboards across all characters' individual AIs; while Parallel Thinking within the AI graph allows concurrent thinking processes for one character; Interrupting also makes it possible for characters to interrupt their current execution when needed through an interrupting node linked with transition conditions being satisfied; Data & Overrides allow customization of each character's behavior through saved asset files as well as override functions much like C++ language while Debugging is made easier with fast iteration enabled via reloading without compiling after changes were made on an existing graph editor file
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===Personalized Gameplay===
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AI could analyze your gameplay style and adapt the game accordingly. If you like a fast-paced, action-packed experience, the game could increase the frequency of enemy encounters. Conversely, if you prefer exploring and finding collectibles, the game could generate more puzzles and side quests in your path.
  
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The AI Graph Editor enables fast iteration in AI development, allowing users to reload an AI graph without compiling when changes are needed. Two debug windows help the user trace active nodes and display detailed logs generated from a character’s AI Graph and variables.
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===Natural Language Processing for Dialogue===
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Natural language processing (NLP), a subfield of AI, could be implemented to make dialogue more interactive and authentic. Instead of choosing from preset dialogue options, players could type or speak their responses, and the game would react appropriately. This would add a new level of immersion and player engagement.
  
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Attack motion analysis was done through simulation by distributing spheres around a monster to find its attack orbit region which is then approximated by simple solid figures with parameters like attack distance assigned to an attack node of the corresponding AI Graph.
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===Adaptive Storylines===
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By incorporating AI, the game’s storyline could adapt to the decisions made by the player. Unlike traditional branching storylines that have a set number of outcomes, an AI-powered storyline could generate new twists and outcomes based on player choices, making each playthrough unique.
  
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The meta-AI (or ‘AI Director’) monitors game situations, giving characters orders such as saving players or buddies in danger or following escaping players for tension control during battles.
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===Improved Visuals===
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AI algorithms like neural networks could be used to enhance the game’s visuals in real-time, offering a more detailed and dynamic environment without requiring constant updates or patches.
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A monster's visual sensors consist of two fan-shaped regions that assign enemies to target lists while selecting targets depends on min/max distances & angles plus priority settings via the corresponding node in their respective graphs.
 
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For some monsters, combining rule-based systems with fixed top-layer graphs allow for simpler data maintenance but less freedom due to one condition per graph template structure requirement. 
 
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Lastly, FINAL FANTASY XV's three-layered architecture separates concerns between intelligence & animation while avoiding increasing the size of their respective graphs.
 

Revision as of 08:14, 21 August 2023

When it comes to innovation in video games, Artificial Intelligence (AI) has been a cornerstone of advancement. The role of AI in gaming is expanding at a rapid pace, making gameplay more interactive, challenging, and realistic. An AI Wiki can provide a plethora of information on how AI algorithms make the gaming landscape what it is today. One game that stands as a prime example of how AI could dramatically alter the gaming experience is Final Fantasy XV (FF15).

Final Fantasy XV: An Overview

Final Fantasy XV is an action role-playing game developed and published by Square Enix. Released in 2016, it’s the fifteenth installment in the Final Fantasy series. The game takes players on a captivating journey across a beautifully rendered open world. It follows Prince Noctis and his friends as they attempt to reclaim their kingdom from an enemy invasion. The game’s combat system, story, and visuals have received praise from critics and gamers alike.

How AI is Currently Utilized in Final Fantasy XV

Final Fantasy XV already employs some basic forms of AI, most notably in its non-playable characters (NPCs). The AI-controlled teammates in the game help you in battles and engage in scripted conversations. They have basic decision-making skills that enable them to dodge attacks, heal themselves, or assist you in executing combination moves. These NPCs also respond dynamically to the events in the game, offering a semblance of realism.

Potential Enhancements Through AI

Advanced NPC Interactions

Advanced AI algorithms could make NPC interactions much more lifelike and unpredictable. Currently, NPCs follow a set script or pattern of actions. With machine learning algorithms, these characters could adapt and learn from the player’s actions. For example, if you constantly use a specific strategy in battle, the AI could recognize this and counter it, making gameplay more challenging.

Personalized Gameplay

AI could analyze your gameplay style and adapt the game accordingly. If you like a fast-paced, action-packed experience, the game could increase the frequency of enemy encounters. Conversely, if you prefer exploring and finding collectibles, the game could generate more puzzles and side quests in your path.

Natural Language Processing for Dialogue

Natural language processing (NLP), a subfield of AI, could be implemented to make dialogue more interactive and authentic. Instead of choosing from preset dialogue options, players could type or speak their responses, and the game would react appropriately. This would add a new level of immersion and player engagement.

Adaptive Storylines

By incorporating AI, the game’s storyline could adapt to the decisions made by the player. Unlike traditional branching storylines that have a set number of outcomes, an AI-powered storyline could generate new twists and outcomes based on player choices, making each playthrough unique.

Improved Visuals

AI algorithms like neural networks could be used to enhance the game’s visuals in real-time, offering a more detailed and dynamic environment without requiring constant updates or patches.

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