Player behavioural modelling for video games
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 …
computer programs that play classic games (eg, chess), to a means for impacting the player …
Reasoning about hypothetical agent behaviours and their parameters
SV Albrecht, P Stone - arXiv preprint arXiv:1906.11064, 2019 - arxiv.org
Agents can achieve effective interaction with previously unknown other agents by
maintaining beliefs over a set of hypothetical behaviours, or types, that these agents may …
maintaining beliefs over a set of hypothetical behaviours, or types, that these agents may …
An overview on opponent modeling in RoboCup soccer simulation 2D
S Pourmehr, C Dadkhah - RoboCup 2011: Robot Soccer World Cup XV …, 2012 - Springer
This paper reviews the proposed opponent modeling algorithms within the soccer simulation
domain. RoboCup soccer simulation 2D is a rich multi agent environment where opponent …
domain. RoboCup soccer simulation 2D is a rich multi agent environment where opponent …
Evolving classification of agents' behaviors: a general approach
By recognizing the behavior of others, many different tasks can be performed, such as to
predict their future behavior, to coordinate with them or to assist them. If this behavior …
predict their future behavior, to coordinate with them or to assist them. If this behavior …
Performance analysis in soccer: a Cartesian coordinates based approach using RoboCup data
In soccer, like in business, results are often the best indicator of a team's performance in a
certain competition but insufficient to a coach to asses his team performance. As a …
certain competition but insufficient to a coach to asses his team performance. As a …
Correcting and improving imitation models of humans for robosoccer agents
R Aler, O Garcia, JM Valls - 2005 IEEE Congress on …, 2005 - ieeexplore.ieee.org
The Robosoccer simulator is a challenging environment, where a human introduces a team
of agents into a football virtual environment. Typically, agents are programmed by hand, but …
of agents into a football virtual environment. Typically, agents are programmed by hand, but …
OMBO: An opponent modeling approach
In competitive domains, some knowledge about the opponent can give players a clear
advantage. This idea led many people to propose approaches that automatically acquire …
advantage. This idea led many people to propose approaches that automatically acquire …
An automatic approach to extract goal plans from soccer simulated matches
Soccer is a competitive and collective sport in which teammates try to combine the execution
of basic actions (cooperative behavior) to lead their team to more advantageous situations …
of basic actions (cooperative behavior) to lead their team to more advantageous situations …
Programming Robosoccer agents by modeling human behavior
The Robosoccer simulator is a challenging environment for artificial intelligence, where a
human has to program a team of agents and introduce it into a soccer virtual environment …
human has to program a team of agents and introduce it into a soccer virtual environment …
Using model-based collaborative filtering techniques to recommend the expected best strategy to defeat a simulated soccer opponent
How to improve the performance of a simulated soccer team using final game statistics? This
is the question this research aims to answer using model-based collaborative techniques …
is the question this research aims to answer using model-based collaborative techniques …