Design And Optimization On Artificial Intelligence Of Multiplayer Online Role-Playing Game

In Multiplayer Online Role-Playing Game,players should play a role to explore in the virtual world.The interaction between Player Character and Non-Player Character is one of the most important experience content in Multiplayer Online Role-Playing Game.Non-Player Character is designed as artificial intelligence.The need about sense of immersion in Multiplayer Online Role-Playing Game is more important than other games,so it's need of wonderfulness and intelligent is more urgent.Artificial intelligence design of game is one of the most challenging task in game design.This paper mainly research the design and Optimization in Multiplayer Online Role-Playing Game.The essence of AI is dealing with the input,then put out it by appropriate and intelligent way.It is correlate with information processing.This paper main introduce the AI in Multiplayer Online Role-Playing Game.This paper introduces the research background abroad and at home,analysis the difference and the same point in science and in game industry.Then this paper introduces two main design model in game industry-State Machines and Behavior Tree.We introduce the concept of state machines and behavior tree and compare their.After that this paper propose the behavior tree based on statement,divide it to three part – attribute layer,decision layer and action layer,introduce the difference,and explain the learning strategy and interrupt strategy.In last,this paper introduce the Virtual Reality,Augmented Reality and Machine Learning in the future of game artificial intelligence,propose how to contact the design of Game AI and Science AI.In order to explain our research,this paper provide many case.This paper also try to analysis how to use neural network in Game AI and propose modify the attribute layer and the parameter in network of decision layer to make AI learn.This paper also provide the summary of it and the expectation of the future of Game AI.