Towards Fast Prototyping of IVAs Behavior: Pogamut 2

Authors:
Ondřej Burkert;Rudolf Kadlec;Jakub Gemrot;Michal Bída;Jan Havlíček;Martin Dörfler;Cyril Brom
Affiliations:
Charles University in Prague, Faculty of Mathematics and Physics, Dept. of Software and Computer Science Education, Prague, Czech Republic;Charles University in Prague, Faculty of Mathematics and Physics, Dept. of Software and Computer Science Education, Prague, Czech Republic;Charles University in Prague, Faculty of Mathematics and Physics, Dept. of Software and Computer Science Education, Prague, Czech Republic;Charles University in Prague, Faculty of Mathematics and Physics, Dept. of Software and Computer Science Education, Prague, Czech Republic;Charles University in Prague, Faculty of Mathematics and Physics, Dept. of Software and Computer Science Education, Prague, Czech Republic;Charles University in Prague, Faculty of Mathematics and Physics, Dept. of Software and Computer Science Education, Prague, Czech Republic;Charles University in Prague, Faculty of Mathematics and Physics, Dept. of Software and Computer Science Education, Prague, Czech Republic
Venue:
IVA '07 Proceedings of the 7th international conference on Intelligent Virtual Agents
Year:
2007

Citing 1
Cited 7

Treating Psychological and Physical Disorders with VR

IEEE Computer Graphics and Applications

Peer to peer model for virtual knowledge communities

AIKED'08 Proceedings of the 7th WSEAS International Conference on Artificial intelligence, knowledge engineering and data bases
Unreal goal bots: conceptual design of a reusable interface

Agents for games and simulations II
Towards an environment interface standard for agent platforms

Annals of Mathematics and Artificial Intelligence
An empirical study of patterns in agent programs

PRIMA'10 Proceedings of the 13th international conference on Principles and Practice of Multi-Agent Systems
An interface for agent-environment interaction

ProMAS'10 Proceedings of the 8th international conference on Programming Multi-Agent Systems
Stable growing neural gas: A topology learning algorithm based on player tracking in video games

Applied Soft Computing
An empirical study of cognitive agent programs

Multiagent and Grid Systems - Principles and Practice of Multi-Agent Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

We present the platform for IVAs development in the human like environment of the first-person shooter game Unreal Tournament 2004. This environment is extendible and supported by vast community of users. Based on our previous experience the problem of fast verification of models of artificial intelligence or IVAs is in implementation issues. The developer spends most of his time solving technical environment dependent issues and malfunctions, which drives him away from his goals. Therefore our modular platform provides a tool, which helps solving those problems and the developer can spend saved time by solving another AI based issues and model verification. The platform is aimed for research and educational purposes.