CIG
2005
IEEE
13 years 10 months ago
2005
IEEE
AbstractGroup utility functions are an extension of the common team utility function for providing multiple agents with a common reinforcement learning signal for learning cooperat...
CIG
2005
IEEE
13 years 10 months ago
2005
IEEE
Abstract- We present a concept for developing cooperative characters (agents) for computer games that combines coaching by a human with evolutionary learning. The basic idea is to ...
CIG
2005
IEEE
13 years 10 months ago
2005
IEEE
Abstract- This paper describes the generation and utilisation of a pattern database for 19x19 go with the Knearest-neighbor representation. Patterns are generated by browsing recor...
CIG
2005
IEEE
13 years 10 months ago
2005
IEEE
In this paper, we show how our AI opponents learn internal representations of probabilities. We use a Bayesian interpretation of such subjectivist probabilities but do not impleme...
CIG
2005
IEEE
13 years 10 months ago
2005
IEEE
Previous research on the use of coevolution to improve a baseline chess program demonstrated a performance rating of 2550 against Pocket Fritz 2.0 (PF2). A series of 12 games (6 wh...
CIG
2005
IEEE
13 years 10 months ago
2005
IEEE
CIG
2005
IEEE
13 years 10 months ago
2005
IEEE
Abstract- We present a method that enhances evolutionary behavior testing of commercial computer games, as introduced in [CD+04], to deal with parameterized actions. The basic idea...
CIG
2005
IEEE
13 years 10 months ago
2005
IEEE
Interactive computer games are widely seen as a killer application domain for Artificial Intelligence (AI) [8]. Quite apart from the significant size of the games market in terms...
CIG
2005
IEEE
13 years 10 months ago
2005
IEEE
This paper follows on from our previous work focused on formulating an efficient generic measure of user’s satisfaction (‘interest’) when playing predator/prey games. Viewin...