Online Imitation and Adaptation in Modern Computer Games

Commercial computer games have significantly evolved§in the recent decade. Current games feature vast and§highly detailed virtual environments with realistic§physics, complex and highly dynamic gameplay as well§as complex multi-player game modes. Therefore, the§creation of sophisticated and intelligent game agents§that oppose or collaborate with the player has become§a considerable challenge in terms of competitive§performance and fast adaptation, but also concerning§the believability of the shown behaviour. This book§gives a general introduction into the field of§artificial intelligence in computer games and §proposes several approaches to create intelligent§game characters for a computer game. The focus of§these approaches is to create competitive and quickly§adapting game agents that show sophisticated,§human-like behaviours. The proposed methods are based§on the imitation of other players and the usage of a§population of several agents that collaborate to§accelerate the learning process. The foundation of§the presented work lies in the utilisation of§powerful adaptation and learning techniques like§evolutionary algorithms, reinforcement learning and§social learning.