Much research in artificial intelligence is concerned with the development of autonomous
agents that can interact effectively with other agents. An important aspect of such agents is …

A negotiation between agents is typically an incomplete information game, where the agents
initially do not know their opponent's preferences or strategy. This poses a challenge, as …

This article focuses on personalised games, which we define as games that utilise player
models for the purpose of tailoring the game experience to the individual player. The main …

Player behavioural modelling has grown from a means to improve the playing strength of
computer programs that play classic games (eg, chess), to a means for impacting the player …

This paper investigates strategies to generate levels for action-adventure games. For this
genre, level design is more critical than for rule-driven genres such as simulation or rogue …

Player satisfaction is particularly difficult to ensure in online games, due to interactions with
other players. In adversarial multiplayer games, matchmaking typically consists in trying to …

Real-time strategy games present an environment in which game AI is expected to behave
realistically. One feature of realistic behaviour in game AI is the ability to recognise the …

In previous work we introduced a novel approach to adaptive game AI that was focussed on
the rapid and reliable adaptation to game circumstances. We named the approach 'case …

The concept of rationality is central to the field of artificial intelligence. Whether we are
seeking to simulate human reasoning, or the goal is to achieve bounded optimality, we …

Starcraft II is a popular real-time strategy (RTS) game, in which players compete with each
other online. Based on their performance, the players are ranked in one of seven leagues. In …