Player modeling using self-organization in Tomb Raider: Underworld
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 …
Tomb Raider: Underworld (TRU). Emergent self-organizing maps are trained on high-level …
Predicting player behavior in tomb raider: Underworld
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 …
behavior for the major commercial title Tomb Raider: Underworld (TRU). Various supervised …
Evolving behaviour trees for the mario ai competition using grammatical evolution
This paper investigates the applicability of Genetic Programming type systems to dynamic
game environments. Grammatical Evolution was used to evolved Behaviour Trees, in order …
game environments. Grammatical Evolution was used to evolved Behaviour Trees, in order …
Machine learning in digital games: a survey
L Galway, D Charles, M Black - Artificial Intelligence Review, 2008 - Springer
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 …
and techniques from both traditional and modern artificial intelligence in order to provide …
Learning human-like movement behavior for computer games
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 …
develop a convincing, human-like opponent. Towards the development of more human-like …
Game bot identification based on manifold learning
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 activity, such as the use of game bots, has increased as a consequence. Generally …
Behavioral-based cheating detection in online first person shooters using machine learning techniques
H Alayed, F Frangoudes… - 2013 IEEE conference on …, 2013 - ieeexplore.ieee.org
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 …
Therefore, cheating detection and prevention is an important part of developing a …
[PDF][PDF] Imitation learning at all levels of game-AI
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 …
solutions and behaviors suitable to solve problems of various kinds. From an abstract point …
Player modeling: Towards a common taxonomy
MC Machado, EPC Fantini… - 2011 16th international …, 2011 - ieeexplore.ieee.org
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 …
increase the immersion in digital games. Among the several AI approaches, Player …
Game bot detection via avatar trajectory analysis
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 …
based on the trajectories of account users. Online gaming has become one of the most …