In this paper, the mechanism of the human–computer game is investigated with the help of
multi-agent systems (MASs) and reinforcement learning (RL). The game is formulated as a …

Most studies of energy efficiency in buildings have focused on technical systems and lacked
considerations on cooperative solutions by technical systems and occupant behaviour. This …

Agent-based modeling is a widely used computational method for studying the micro-macro
bridge issue by simulating the microscopic interactions and observing the macroscopic …

This study was designed to analyze matrilateral biases in order to explore possible
evolutionary mechanisms, as guided by general psychological theories. In evolutionary …

The complexity of cooperative behavior is a crucial issue in multiagent-based social
simulation. In this paper, an agent-based model is proposed to study the evolution of …