Evolutionary Interactive Bot for the FPS Unreal Tournament 2004
نویسندگان
چکیده
This paper presents an interactive genetic algorithm for generating a human-like autonomous player (bot) for the game Unreal Tournament 2004. It is based on a bot modelled from the knowledge of an expert human player. The algorithm provides two types of interaction: by an expert in the game and by an expert in the algorithm. Each one affects different aspects of the evolution, directing it towards better results regarding the agent’s humanness (objective of this work). It has been conducted an analysis of the experts’ influence on the performance, showing much better results after these interactions that the non-interactive version. The best bot were submitted to the BotPrize 2014 competition (which seeks for the best human-like bot), getting the second position.
منابع مشابه
Optimización de la humanidad de bots de Unreal Tournament 2004 mediante algoritmos evolutivos (Humanness optimization of Unreal Tournament 2004 bots by means of evolutionary algorithms)
This work describes three different approaches looking to get the best Bot (autonomous agent) for the First Person Shooter Unreal Tournament 2004. To this end, different hybridizations of the two best bots of the Botprize Competition 2014 are created. This competition decided the humanness level of the bots by means of a Turing test conducted on human judges. Thus, the proposal considers the so...
متن کاملImplementation of a Human-Like Bot in a First Person Shooter: Second Place Bot at BotPrize 2008
A first person shooter game is a game genre where fun in the game resorts to the skill of the opponents. In particular, when the opponents are bots, adjustment of their skill levels as well as implementation of their human-likeness are important research issues that many research groups have been studying recently in order to make bots more interesting to play with. This led to a contest called...
متن کاملDecision Tree-Based Algorithms for Implementing Bot AI in UT2004
This paper describes two different decision tree-based approaches to obtain strategies that control the behavior of bots in the context of the Unreal Tournament 2004. The first approach follows the traditional process existing in commercial videogames to program the game artificial intelligence (AI), that is to say, it consists of coding the strategy manually according to the AI programmer’s ex...
متن کاملHumanlike Combat Behavior via Multiobjective Neuroevolution
Although evolution has proven to be a powerful search method for discovering effective behavior for sequential decision-making problems, it seems unlikely that evolving for raw performance could result in behavior that is distinctly humanlike. This chapter demonstrates how humanlike behavior can be evolved by restricting a bot’s actions in a way consistent with human limitations and predilectio...
متن کاملUnrealGoal Bots - Conceptual Design of a Reusable Interface
It remains a challenge with current state of the art technology to use BDI agents to control real-time, dynamic and complex environments. We report on our effort to connect the Goal agent programming language to the real-time game Unreal Tournament 2004. BDI agents provide an interesting alternative to control bots in a game such as Unreal Tournament to more reactive styles of controlling such ...
متن کامل