Developing a 5v5 Framework for DotA 2 Bot Competition

Multiplayer online battle arena (MOBA) games have properties that make them suitable for research in artificial and computational intelligence. MOBA games are generally played team vs team meaning planning and organizing the team is one of the most important aspects. This makes it suitable for research in artificial intelligence agent cooperation. This paper presents a literature review performed in the area of artificial and computational intelligence regarding MOBA games. The findings are that there is little or no research made in the area. The research found concerning MOBA games is in the context of player behaviour and toxic behaviour in the MOBA game league of legends. What is found is encouragement on developing frameworks supporting 5v5 matches in MOBA games which this paper also presents, a 5v5 framework for bot-matchmaking in DotA 2 making it possible for users to develop bots to be run versus the in-game AI