“AI Techniques for Contemporary Digital Games” Chaired by
Conference:
Type(s):
Title:
- AI Techniques for Contemporary Digital Games
Presenter(s)/Author(s):
Abstract:
The goal of this course is explaining modern game AI techniques which have evolved in these years. While, before 2000, game AI was the field that gathered very tricky programming techniques, after 2001, game AI has become to a outstanding theory by using academic AI techniques such as robotics AI and learning/evolution algorithm.
The course is divided into five parts. The first part is showing the overview of game AI. The modern AI system consists of distributed three AI such as character AI, Navigation AI, and Meta-AI. Character AI means the decision making system for a character in game, Navigation AI is path navigation system and environment recognition system by analyzing static and dynamic terrain feature in game. Meta-AI controls the flow of game by generating enemy agents at the best points on the game state and increases/decreases number of monsters to adjust difficulty level for each user.
The second part is explaining character AI technologies such as agent architecture, seven popular decision making algorithm, and memory structure. The third part is teaching some techniques of Navigation AI such as Navigation mesh, way points, A* algorithm, Dijkstra algorithm, and so on. The forth part is introducing meta-AI. Meta-AI is new and original technology in game AI. It controls game contents dynamically by generating terrains, populating enemies and changing stories. The fifth part is showing many examples of game titles which use learning techniques and evolutionary algorithms. Recently some titles use them both in game and game development.
Game AI has much possibility to change quality of digital game. In these fifteen years, the base of game AI technology is founded. For the future, they will be applied to the deep core of game system and make AI and games evolve.
Additional Information:
Intended-Audience:
Researchers who want to know recent game AI technology status.
Researchers who combine their research and AI techniques.
Game Developers who want to know character control technologies.
Game Developers who want to know AI techniques for games.
Student who begin to learn game AI techniques.
