Urban land-use planning decisions generally require negotiation between multiple
stakeholders to reach an agreement on a specific plan. Computer-aided tools such as group …

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 …

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 …

In a soccer match, a cooperative behavior emerges from the combined execution of simple
actions by players. A cooperative behavior can be planned if players are previously …

Vision is a part of a robot soccer system. It completes the system by providing the 'eye'to see
what occurs inside the pitch during the game. Similarly as in humans, the sight is then sent …

Robotic soccer simulations are controlled environments in which the rich variety of
interactions among agents make them good candidates to be studied as complex adaptive …

Taiwanese Mahjong (Tai-Mah) is a popular multiplayer tile-based game in Taiwan that
presents imperfect information. Predicting the behavior of opponents is an essential aspect …

This paper presents a survey of multi-agent systems (MAS) with adversarial teams
competing in a dynamic environment. Agents within teams work together against an …

In contrast to human soccer players, autonomous robot soccer players often move according
to a limited set of predefined behavioural rules. This knowledge can be used …

In cooperative multi-agent systems, the performance of a group of agents, or team, often
depends much more on the combined strategy of the team, than on that of a specific …