Add to ORKGA tool for the analysis of Multi-Agent Collaborative Systems is presented and demonstrated on an example of robot soccer system. The tool enables automatic filtering and selection of game sequences which are suitable for the analysis of the game. Fuzzy logic is used since the data gathered by a camera is highly noisy. The data used in the paper was recorded during the game Germany- Slovenia in Hagen. The dynamic parameters of our robots are estimated using the least squares technique. Meandering parameters are estimated and an attempt is made to identify the strategy of the opposing team with the method of introspection
. Robotic soccer is a challenging research domain which involves multiple agents that need to collab...
Effective team strategies and joint decision-making processes are fundamental in modern robotic appl...
Proceeding of: Third International Conference on Modeling Decisions for Artificial Intelligence, MDA...
Developing social and cooperative behavior for a group of robots poses a big challenge up to this da...
Artificial Intelligent has been applied successfully to many and varied domains. In particular, the ...
Robotic soccer is a challenging research domain which involves multiple agents that need to collabor...
This paper proposes a method for agent behavior clas-sification which estimates the relations betwee...
This paper proposes a method for agent behavior classification which estimates the relations between...
There have been many games developing simulation of soccer games. Many of these games have been desi...
This paper illustrates the prediction of opponent behaviour in a competitive, highly dynamic, multi-...
An approach is investigated to identify an invariant in a simulated robot soccer team's dynamics in ...
Aiming at improving our physical strength and expanding our knowledge, tournaments and competitions ...
<i>Abstract</i><div><br></div><div><br></div><div><div>Robocup is an international competition for m...
ABSTRACT Robocup is an international competition for multi agent research and related subject like...
The automatic detection and identification of robots, as well as the recognition of their behavioral...
. Robotic soccer is a challenging research domain which involves multiple agents that need to collab...
Effective team strategies and joint decision-making processes are fundamental in modern robotic appl...
Proceeding of: Third International Conference on Modeling Decisions for Artificial Intelligence, MDA...
Developing social and cooperative behavior for a group of robots poses a big challenge up to this da...
Artificial Intelligent has been applied successfully to many and varied domains. In particular, the ...
Robotic soccer is a challenging research domain which involves multiple agents that need to collabor...
This paper proposes a method for agent behavior clas-sification which estimates the relations betwee...
This paper proposes a method for agent behavior classification which estimates the relations between...
There have been many games developing simulation of soccer games. Many of these games have been desi...
This paper illustrates the prediction of opponent behaviour in a competitive, highly dynamic, multi-...
An approach is investigated to identify an invariant in a simulated robot soccer team's dynamics in ...
Aiming at improving our physical strength and expanding our knowledge, tournaments and competitions ...
<i>Abstract</i><div><br></div><div><br></div><div><div>Robocup is an international competition for m...
ABSTRACT Robocup is an international competition for multi agent research and related subject like...
The automatic detection and identification of robots, as well as the recognition of their behavioral...
. Robotic soccer is a challenging research domain which involves multiple agents that need to collab...
Effective team strategies and joint decision-making processes are fundamental in modern robotic appl...
Proceeding of: Third International Conference on Modeling Decisions for Artificial Intelligence, MDA...