Despite the success of the BDI approach to agent teamwork, initial role allocation (ie
deciding which agents to allocate to key roles in the team) and role reallocation upon failure …

Machine Learning (ML) and Knowledge Discovery (KD) are research areas with several
different applications but that share a common objective of acquiring more and new …

Abstract Soccer Simulation 2D League is one of the major leagues of RoboCup
competitions. In a Soccer Simulation 2D (SS2D) game, two teams of 11 players and one …

We describe Gliders2d, a base code release for Gliders, a soccer simulation team which
won the RoboCup Soccer 2D Simulation League in 2016. We trace six evolutionary steps …

A system to coordinate a team of unmanned aerial vehicles (UAV) applied for surveillance
tasks is presented in this paper. Such scenario demands continuous monitoring of the …

The coordination methodologies of CAMBADA, a robotic soccer team designed to
participate in the RoboCup middle-size league (MSL), are presented. The approach, which …

While a lot of papers on RoboCup's robotic 2D soccer simulation have focused on the
players' offensive behavior, there are only a few papers that specifically address a team's …

One of the research topics on multi-agent systems focuses on the development of
mechanisms such as plans to empower a team of agents to cooperate in order to perform …

This paper presents a dynamic role assignment and formation positioning system used by
the 2011 RoboCup 3D simulation league champion UT Austin Villa. This positioning system …

Agents, or more precisely intelligent agents, are a novel paradigm for software applications
development, supporting the simulation of complex individual interactions. Moreover …