We have recently introduced an incremental learning algorithm, Learn++ .NSE, for Non-Stationary Environments, where the data distribution changes over time due to concept drift. Le...
Virtual environments provide a rich and varied domain for intelligent agents, but questions of design and development in this context are still to be answered. An agent with multip...
This paper presents XMARS, a programmable coordination architecture for Internet applications based on mobile agents. In XMARS, agents coordinate – both with each other and with...
This paper presents a simple and efficient method of modeling synthetic vision, memory, and learning for autonomous animated characters in real-time virtual environments. The mode...
Abstract. Increasingly, agent teams are used in realistic and complex multiagent environments. In such environments, dynamic and complex changes in the environment require appropri...