Study materials for a research survey paper in collaboration in AI characters for games. Abstract and works cited here.
As part of my masters' studies and research, I created a survey paper focusing on the subject of building better collaborative AI characters in games. Collaborative AI is defined as one or more non-player characters (agents) crafted to interact and work with the Player and/or other agents.
The survey covered five challenging tasks for AI design and implementation:
Movement: Strategies for having AI characters move in collaboration with steering behaviours and pathfinding techniques.
Knowledge Communication: Strategies for having AI-controlled characters share and communicate local knowledge about themselves and the environment.
Decision-Making: Strategies for collaborative decision-making between characters in pursuit of common goals including tactical and strategic behaviour.
Learning: Strategies for having AI characters learn together to solve tasks more efficiently.
Player Interaction: Strategies for facilitating better communication between AI characters and the Player.
The scope of the research is encompassed in this diagram:
The brief abstract included in this repository also has the full list of works cited.