Game-based approaches to learning are increasingly being recognized as having the potential to stimulate intrinsic motivation amongst learners. Whilst a range of examples of effective serious games exist, creating the highfidelity content with which to populate a serious game is resource-intensive task. To reduce this resource requirement, research is increasingly exploring means to reuse and r...

Many commercial computer games allow a team of players to match their skills against another team, controlled by humans or by the computer. Most players prefer human opponents, since the artificial intelligence of a computer-controlled team is in general inferior. An adaptive mechanism for team-oriented artificial intelligence would allow computer-controlled opponents to adapt to human player b...

Game Theory is a common approach used to understand attacker and defender motives, strategies, and allocation of limited security resources. For example, many defense algorithms are based on game-theoretic solutions that conclude that randomization of defense actions assures unpredictability, creating difficulties for a human attacker. However, many game-theoretic solutions often rely on ideali...

An adaptive threshold element is able to "learn" a strategy of play for the game blackjack (twenty-one) with a performance close to that of the Thorp optimal strategy although the adaptive system has no prior knowledge of the game and of the objective of play. After each winning game the decisions of the adaptive system are "rewarded." After each losing game the decisions are "punished." Reward...

Sports games conducted as a group are a form of therapeutic exercise for aged people with decreased strength and for people suffering from permanent damage of stroke and other conditions. However, it is difficult for patients with different athletic abilities to play a game on an equal footing. This study specifically examines a computer video game designed for therapeutic exercise, and a game ...

We propose a method for automatically learning diverse but effective macros that can be used as components of game AI scripts. Macros are learnt by a selection-based optimisation method that maximises an interestingness measure. Our demonstrations are performed in a CRPG simulation with two wizards duelling. The results show that the macros learned this way can increase adaptivity, and diversit...

The features of video games that contribute to effective learning are drawing increasing attention in the world of technology enhanced learning. To date, game based learning has focussed on the learning benefits provided by the inherent motivation, rich visualizations, and low risk of failure, provided by contemporary educational games. Although these advantages create highly engaging and immer...

This report presents the results of applying different compression algorithms to the network protocol of an online game. The algorithm implementations compared are zlib, liblzma and my own implementation based on LZ77 and a variation of adaptive Huffman coding. The comparison data was collected from the game TomeNET. The results show that adaptive coding is especially useful for compressing lar...