We present a study focused on constructing models of players for the major commercial title
Tomb Raider: Underworld (TRU). Emergent self-organizing maps are trained on high-level …

This paper presents the results of an explorative study on predicting aspects of playing
behavior for the major commercial title Tomb Raider: Underworld (TRU). Various supervised …

This paper investigates the applicability of Genetic Programming type systems to dynamic
game environments. Grammatical Evolution was used to evolved Behaviour Trees, in order …

Artificial intelligence for digital games constitutes the implementation of a set of algorithms
and techniques from both traditional and modern artificial intelligence in order to provide …

Abstract Modern Computer Game AL still relies on rule-based approaches, so far failing to
develop a convincing, human-like opponent. Towards the development of more human-like …

In recent years, online gaming has become one of the most popular Internet activities, but
cheating activity, such as the use of game bots, has increased as a consequence. Generally …

Cheating in online games comes with many consequences for both players and companies.
Therefore, cheating detection and prevention is an important part of developing a …

Imitation is a powerful mechanism the human brain applies to extend its repertoire of
solutions and behaviors suitable to solve problems of various kinds. From an abstract point …

Artificial Intelligence (AI) is gradually receiving more attention as a fundamental feature to
increase the immersion in digital games. Among the several AI approaches, Player …

The objective of this work is to automatically detect the use of game bots in online games
based on the trajectories of account users. Online gaming has become one of the most …