An Application of Genetic Algorithm based on Abstract Data Type for the Problem of Generation of Scenarios for Electronic Games
as game users demand for games with more realistic behavior ascends, so does the importance of artificial intelligence techniques in video games. Among the game genres, RPG (specially the MMORP variety) stands as an excellent test bed for applying such techniques as it provides a rich environment with interesting events happing simultaneously, akin to the real world. Using a MMORPG as background, this paper demonstrates the use of an evolutionary approach called genetic algorithm based on abstract data types (GAADT), for managing the dynamics of geophysics events in a MMORPG environment, asserting that specific events will occur only in areas where they are prone to. In addition, as GAAD T is an algorithm for random optimization, it fits the criteria of unexpected occurrences in arbitrary locations, better simulating a real world environment and presenting the game environment geographic characteristics as an extra factor to be considered by the society of players.
RPG Games Genetic Algorithms GAADT
Leonardo Filipe Batista Silva de Carvalho Helio Cavalcante Silva Neto Roberta Vilhena Vieira Lopes Fabio Paraguacu
Masters Degrees in Computational Modeling of Knowledge Federal University of Alagoas (UFAL)Postcode 57072-970 - Maceio - AL - Brazil
国际会议
厦门
英文
526-530
2010-10-29（万方平台首次上网日期，不代表论文的发表时间）