Designing agents whose behavior challenges human players adequately is a key issue in computer games development. This work presents a novel technique, based on reinforcement lear...
Gustavo Andrade, Geber Ramalho, Hugo Santana, Vinc...
This paper describes the preliminary research of an ambient intelligent system known as socioec(h)o. socio-ec(h)o explores the design and implementation of an ambient intelligent ...
Ron Wakkary, Marek Hatala, Robb Lovell, Milena Dro...
We present a real-time strategy (RTS) game AI agent that integrates multiple specialist components to play a complete game. Based on an analysis of how skilled human players conce...
General Game Playing (GGP) agents must be capable of playing a wide variety of games skillfully. Monte-Carlo Tree Search (MCTS) has proven an effective reasoning mechanism for thi...
This paper presents concept of the strategic knowledge resource network for SMEs. A strategic-knowledge resource in a company represents the knowledge, skills and capabilities of t...