A world championship caliber checkers program
Artificial Intelligence
Blondie24: playing at the edge of AI
Blondie24: playing at the edge of AI
Golf competition between individuals
WSC '79 Proceedings of the 11th conference on Winter simulation - Volume 2
The search for the perfect handicap
WSC '78 Proceedings of the 10th conference on Winter simulation - Volume 2
A systematic classification of cheating in online games
NetGames '05 Proceedings of 4th ACM SIGCOMM workshop on Network and system support for games
Evolving neural networks to play checkers without relying on expert knowledge
IEEE Transactions on Neural Networks
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Imagine the look on your ten year old sons face having just been totally annihilated by an over zealous big brother/father combination in Halo-2. Ignoring the fact that he may be scarred for life by this experience, his whole attitude towards the enjoyment of multiplayer games is tarnished. This is the experience of many multiplayer gamers, they purchase a game and having gotten to grips with the key-strokes and combination moves decide to join an online game server. They are completely destroyed by players who have been playing the game for the past three week's non-stop, no eating, no drinking just playing the game, the so-called game experts. This puts the whole regime of online community in jeopardy. The purpose of this paper is to analyse possible algorithms to develop a handicapping system which would allow a newbie to compete with an expert in a multiplayer environment and both still achieve a satisfying game. In addition a series of simulated handicapped Halo-2 games are analysed to assess one form of handicapping and provide a forum for discussion of other approaches with experienced players. Finally, a new algorithm is postulated which would provide suitable co-operative play without losing challenge.