Context: Games are a well-established scenario to test AI and multiagent systems (MAS)
proposals due to their popularity and defiance. However, there is no big picture of the …

The reinforcement learning problem of complex action control in a multi-player wargame has
been a hot research topic in recent years. In this paper, a game system based on turn-based …

Multiplayer Online Battle Arena (MOBA) is one of the most played game genres nowadays.
With the increasing growth of this genre, it becomes necessary to develop effective …

Response threshold reinforcement is a powerful model for decentralized task allocation and
specialization in multiagent swarms. In dynamic environments, initial task assignments and …

This paper investigates incorporating chain of command in swarm intelligence of honey
bees to create groups of ranked co-operative autonomous agents for an RTS game in to …

Real-time strategy (RTS) games differ as they persist in varying scenarios and states. These
games enable an integrated correspondence of non-player characters (NPCs) to appear as …

This paper is concerned with instance complexity introduced by Ko, Orponen, Schoning, and
Watanabe (1986) as a measure of the complexity of individual instances of a decision …

Response threshold reinforcement is a powerful model for decentralized task allocation and
specialization in multiagent swarms. In dynamic environments, initial task assignments and …

Multiplayer Online Battle Arena (MOBA), é o gênero de jogo mais jogado do mundo
atualmente. O jogo consiste em controlar um herói e, com ajuda de um time de jogadores …

ABSTRACT JANOŤÁK, Milan: Access network simulation in OPNET Modeler [diploma
thesis]–The University of Žilina. Faculty of Management Science and Informatics …