Simulating Personality for First Person Shooter Non-player Characters
نویسنده
چکیده
First person shooter games are plagued with the problem of players losing interest once they have learned the patterns that the Artificial Intelligence(AI) follows. Although the same player do not tire from playing these games online against other players. The idea of this project is to study how AI with random personality boundaries affects the player performance, experience and desire to continue playing.
منابع مشابه
Apprentissage par renforcement factorisé pour le comportement de personnages non joueurs
In this paper, we apply a general reinforcement learning method to automatically design the behavior of non player characters of the Counter-Strike first person shooter computer game. The result of the learning process is a set of decision trees that represents compactly and easily readable a model of the problem itself and the decision policy of characters. Beyond this example, we discuss the ...
متن کاملTowards Online Adaptation in Action Games: Case Storage and Retrieval
In this paper we present our work towards the development of an online learning and adaptation architecture for non-player characters (NPCs) (agents) in first person shooter (FPS) computer games. We will outline the development of our case storage and retrieval method, which uses an adaptive k-d tree based approach and discuss the issues related to employing this technique for online storage an...
متن کاملTarget selection for AI companions in FPS games
Non-player Characters (NPCs) that accompany the player enable a single player to participate in team-based experiences, improving immersion and allowing for more complex gameplay. In this context, an Artificial Intelligence (AI) teammate should make good combat decisions, supporting the player and optimizing combat resolution. Here we investigate the target selection problem, which consists of ...
متن کاملTeaching Bayesian behaviours to video game characters
This article explores an application of Bayesian Programming to behaviours for synthetic video games characters. We address the problem of real-time reactive selection of elementary behaviours for an agent playing a first person shooter game. We show how Bayesian Programming can lead to condensed and easier formalisation of finite state machine-like behaviour selection, and lend itself to learn...
متن کاملUnrealTriage: A Game-Based Simulation for Emergency Response
UnrealTriage is a simulation of a mass casualty incident built based on a modification of a commercial first person shooter game called Unreal Tournament. The simulation involves multiple emergency response players at the scene of a small airplane crash with 30 casualties. The player objectives developed thus far consist of fire suppression and primary triage. Players must locate and categorize...
متن کامل