"A non-player character (NPC), or non-playable character, is any character in a game that is not controlled by a player."
Creating algorithms and game mechanics that simulate intelligent behavior for non-player characters and opponents.
Machine learning: This is the foundation of AI, involving the creation of algorithms that can learn and adapt to new information.
Neural networks: These are complex models that are designed to simulate the way the human brain processes information.
Natural Language Processing (NLP): This is a branch of AI that deals with the interaction between computers and humans, focusing on the processing and understanding of human language.
Computer vision: This involves developing algorithms that enable computers to analyze and process visual data.
Genetic algorithms: These are a kind of machine learning technique that involves selecting the best possible solutions to a problem from a set of available options.
Expert systems: These are software programs that use logic and knowledge to mimic the decision-making process of a human expert.
Artificial neural networks: These are complex networks of interconnected nodes that are designed to recognize patterns and make decisions based on those patterns.
Fuzzy logic: This is a technique that allows AI systems to deal with incomplete or uncertain information, helping them to make more accurate decisions.
Robotics: This is the study of robots and their applications, including the development of intelligent robots that can interact with humans.
Cognitive computing: This is an area of AI that focuses on creating systems that can understand, reason, and learn in the same ways that humans do.
Deep learning: This is a subfield of machine learning that involves creating algorithms that can learn and make decisions on their own, without human intervention.
Reinforcement learning: This is a type of machine learning that involves training algorithms to make decisions based on the outcomes of previous decisions.
Data mining: This is the process of analyzing large amounts of data to discover patterns and relationships that can be used to make predictions.
Big data analytics: This involves the analysis of large and complex datasets to extract useful information.
Data science: This is the study of how data can be collected, analyzed, and interpreted to solve complex problems.
Automated reasoning: This is the process of using logical rules and inference to make decisions and solve problems.
Sentiment analysis: This involves the use of AI algorithms to analyze human emotions and sentiments, often using data from social media platforms.
Decision trees: These are tree-like structures that can be used to model complex decision-making processes.
Bayesian networks: These are probabilistic models that can be used to reason about uncertain situations.
Support vector machines: These are machine learning models that can be used for classification and regression tasks.
Rule-based AI: This type of AI system uses a set of predetermined rules to determine the behavior and decisions of in-game characters.
Behavioral AI: Behavioral AI uses algorithms to create behaviors that are not predetermined. This type of AI is prevalent in video games that simulate real-world activities such as racing or sports games.
Learning AI: These AI systems learn and adapt to the player's actions and behavior, providing a personalized gaming experience.
Fuzzy logic AI: This type of AI is used to create realistic and flexible in-game decision-making processes. It allows for nuanced and more complex in-game character AI behaviors.
Neural networks AI: Neural networks are a type of machine learning model that uses interconnected nodes designed to mimic the structure of the human brain. It's used to create complex in-game decision-making processes and personalize strategy and decision-making for individual players.
Pathfinding AI: Pathfinding AI is an algorithm that is used to navigate and move characters through the game environment independently.
Planning AI: This type of AI creates a sequence of actions based on a specific objective, such as reaching an objective, defeating an enemy, or solving a specific puzzle.
Probabilistic AI: Probabilistic AI algorithms are based on probabilistic models and mathematical probability concepts. These help AI systems mimic human decision-making and anticipate player actions.
Genetic AI: Genetic algorithms are based on the concept of natural selection and evolution. These algorithms help AI systems create more effective strategies and adapt to unexpected player actions.
Swarm AI: Swarm intelligence algorithms are based on the idea that group behavior is more intelligent than individual action. This type of AI can be used to simulate large groups of creatures or characters, providing a more realistic in-game experience.
"The term originated in traditional tabletop role-playing games."
"It applies to characters controlled by the gamemaster or referee rather than by another player."
"A non-player character (NPC), or non-playable character..."
"In video games, this usually means a character controlled by the computer (instead of a player)."
"...that has a predetermined set of behaviors..."
"...that potentially will impact gameplay, but will not necessarily be the product of true artificial intelligence."
"A non-player character (NPC), or non-playable character, is any character in a game that is not controlled by a player."
"In video games..."
"...that has a predetermined set of behaviors that potentially will impact gameplay..."
"...a character controlled by the computer..."
"...any character in a game that is not controlled by a player."
"...a character controlled by the computer that has a predetermined set of behaviors..."
"...but will not necessarily be the product of true artificial intelligence."
"...that has a predetermined set of behaviors..."
"A non-player character (NPC), or non-playable character, is any character in a game that is not controlled by a player."
"...that potentially will impact gameplay..."
"...that potentially will impact gameplay..."
"...that is not controlled by a player."
"A non-player character (NPC), or non-playable character, is any character in a game that is not controlled by a player." Quotes provided for each question.