EVOLUTIONARY SEARCH FOR ENTERTAINMENT IN COMPUTER GAMES
Games have always been of interest to all age groups. With the advancement in technology and increase in number of users of personal computers, increased number of games is introduced in market. This is resulting in efforts, both for the developers in writing scripts for games and for the end users to select a game which is more entertaining. In this work we present a solution to both the issues. Initially a quantitative measure is devised, which calculates the entertainment value of games. Based upon the proposed measure we use evolutionary algorithm to generate games for different genres on the fly. The evolutionary algorithm needs to be given an initial set of games which it optimizes for entertainment using the proposed entertainment measure as the fitness criteria. In order to compare the entertainment value of the new games generated with the human's entertainment value we conduct a human user survey.
evolutionary algorithms measuring entertainment automatic game creation computational intelligence and games