This paper contributes to the literature on competition and corruption, by drawing on records from Calciopoli, a judicial inquiry carried out in 2006 on corruption in the Italian soccer league. Unlike previous studies, we can estimate the determinants of match rigging and use this information in identifying corruption episodes in years in which there are no pending judicial inquiries. We find e...

In this paper we will describe our research in case of using Expert System as a decision-making system. We made our attempt to expose a base strategy from past log files and implement an online learning system which receives information from the environment. In developing the coach, the main research effort comprises two complementary parts: (a) Design a rule-based expert system in which its ta...

The Standard Platform League is unique among RoboCup soccer leagues for its focus on software. Since all teams compete using the same hardware (a standard robotic platform), success is predicated on software quality, and the shared hardware makes quality judgments simpler and more objective. Growing out a league based on the Sony AIBO quadruped robots, the league has constantly evolved while mo...

In 2006 the Sony Corporation announced that production of the Aibo robot, which is the standard robot platform of the four-legged league of RoboCup, would be discontinued. This paper describes a prototype robot kit which could lead to a new standard platform for the four-legged league. The aims for development of the new platform can be summarized as follows: 1.) Continue and improve the concep...

Plenty of work based on the Rapidly-exploring Random Trees (RRT) algorithm for path planning in real time has been developed recently. This is the most used algorithm by the top research teams in the Small Size League of RoboCup. Nevertheless, we have concluded that other simpler alternatives show better results under these highly dynamic environments. In this work, we propose a new path planni...

Many AI professionals consider RoboCup small league competition as an ideal platform for testing distributed artificial intelligence techniques. Among these techniques are multi-agent systems (MAS), which advocate collective intelligence by focusing on autonomy of the agents and their intercommunication. Multi-agent systems have been used in several disciplines such as Industry [16], Internet [...

Imagine you are asked which city is larger, York or Stockport. About York you recently read an article in the newspaper. You remember that it had some mentionable industry, but no international airport and also no premier league soccer team. Of the city of Stockport you have never heard before. Which city will you answer to be the larger one? According to the recognition heuristic (Goldstein, G...

The annual RoboCup competitions are certainly relevant to present times as they elect the best team of the current year. With respect to RoboCup’s well-known 2050 vision, however, it is crucial to assess the general progress being made not just qualitatively, but also in a quantitative manner. Although this is difficult to accomplish in most leagues, the recent development and circumstances in ...

The RoboCup competition is a very interesting laboratory for open cognitive multi-agent systems. It presents an environment where two robot teams play soccer, with all the challenges that this task brings-up. Because of the distributed vision system, where each player has its own camera, there is no single agent that has a global view of the eld. This means a high inter-agent cooperation cost t...

This paper deals with a cooperative control method for a multi-agent system in dynamic environment. This method enables a robot to perform flexible cooperation based on the global evaluation of the achievement of objectives. Each robot communicates qualitative evaluation on the achievement level of each objective. Each robot calculates the global evaluation on the achievement of the team object...