— Intelligent agents in games and simulators often operate in environments subject to symmetric transformations that produce new but equally legitimate environments, such as reï¬...
Agents in a multi-agent system do not act in a vacuum. The outcome of their efforts depends on the environment in which they seek to act, and in particular on the efforts of other...
H. Van Dyke Parunak, Robert Bisson, Sven A. Brueck...
We present a practical framework for registering a Mixed Reality(MR) environment of an arbitrary number of agents. Each agent consist of a head mounted display (HMD), which consis...
Meta-learning system for KDD is an open and evolving platform for efficient testing and intelligent recommendation of data mining process. Metalearning is adopted to automate the s...
This paper addresses the issue of emergence of robust cooperation among self-interested agents interacting in N-player social dilemma games. A series of graphs are created each ex...