The science of game development is still in its infancy. While researchers and developers seek a better understanding and awareness of game AI problems and techniques, dialog between these two communities is limited. This workshop seeks to identify the problems currently facing game AI programmers, to explore the emerging techniques within development circles, and to highlight AI research that could be of potential use.
The workshop will address contemporary challenges and promising
directions for game AI research and development. It aims to identify practices
that can advance the state of the art.
Broad areas of investigation include:
AI Methodologies:
• Current problems and novel solutions
• Impact of architecture decisions on the development process
• Sharing and re-use of AI systems
AI and Game Design:
• Integrating designer control with autonomous system and agent behavior
• Balancing the goals of smart AI and good gameplay
• Making AI apparent and relevant to the player
Case Studies:
• Lessons learned in development practice
Technical areas of interest include but are not limited to: architectures, action
planning, decision-making, multiple agent coordination, dynamic gameplay generation,
learning, natural language interaction, characters, emotion, interface standards,
and tools.
See workshop submission requirements here.