6 search results - page 1 / 2 » A Believable Agent for First-Person Shooter Games |
AIIDE
2007
13 years 6 months ago
2007
In this paper, we present a principled approach to constructing believable game players that relies on a cognitive architecture. The resulting agent is capable of playing the game...
CIG
2005
IEEE
13 years 10 months ago
2005
IEEE
The aim of developing an agent that is able to adapt its actions in response to their effectiveness within the game provides the basis for the research presented in this paper. It ...
AAAI
2007
13 years 6 months ago
2007
In this paper we present RETALIATE, an online reinforcement learning algorithm for developing winning policies in team firstperson shooter games. RETALIATE has three crucial chara...
AIIDE
2008
13 years 6 months ago
2008
This paper demonstrates the applicability of reinforcement learning for first person shooter bot artificial intelligence. Reinforcement learning is a machine learning technique wh...
FDG
2009
ACM
13 years 8 months ago
2009
ACM
Good artificial intelligence for strategy and first person shooter games requires tactical information. Tactical information assists agents in choosing appropriate places to place...