We present an anytime multiagent learning approach to satisfy any given optimality criterion in repeated game self-play. Our approach is opposed to classical learning approaches fo...
Emergence is a widespread notion in complex systems, artificial life and multi-agent systems. In this paper, we try to clarify a specific emergence feature suggested by John Holl...
—This document briefly describes a framework supporting the definition and implementation of virtual environment inhabited by interacting situated agents defined according to the...
Self-healing in fault tolerant multi-agent systems is the system ability to automatically detect, diagnose, and repair the faults. However, most of the available solutions are fra...
Maryam Ashoori, Chunyan Miao, Majid Nili, Mehdi Am...
We address the problem of users creating visualizations to debug and understand multi-agent systems. The key challenges are that (1) needs arise dynamically, i.e., it is difficult...
Jing Jin, Rajiv T. Maheswaran, Romeo Sanchez, Pedr...