Research On Virtual Pet Evolotion And Behavior Model

This paper mainly conforms to the background of people's love for pets but is restricted by many practical conditions,and adapting pet development games has become a major trend in computer games,also the application of genetic algorithms is developing in a broader and deeper field.The application of genetic algorithm in virtual pet development game and its effect on players' game psychology.Therefore,the virtual pet development is based on the traditional pet computer games' composition(game interface,game body and game interaction mode).The application of genetic algorithms to build pet evolution models and pet behavior models is the focus and innovation of this paper.Compared with the existing virtual pet games,this game can take the player's operation as the fitness basis of the pet evolution model and behavior model in real time,thereby generating a new game object,namely the new generation pet,and according to the player's interactive operation,based on the behavior model,they can grow up and evolve,showing richer movements and expressions.In order to solve the problem of players' lacking of surprise in the traditional pet development games,this game can bring creativity and excitement to the players,which can enrich the players' experience,and satisfy players' game psychology.In addition,combining genetic algorithms with pet evolution games to build evolution models and behavior models can make the game more playable and create more value.It also expands the scope of genetic algorithms' application,proving that it can be used not only for role assignment and path planning,but also has good performance in many other aspects.This paper describes the following:1.The background,significance and psychological basis of virtual pet game design.2.Feasibility of applying genetic algorithm in virtual pet game design and successful case analysis in other studies.3.The specific application method of genetic algorithm in game design,that is,the theory and method of building evolution model and behavior model.4.Research and explain the specific implementation of evolutionary models and behavioral models in virtual pet games.5.Analyze the specific parameter data in the genetic algorithm to get the best result.