Distributed problem solving by a multiagent system represents a promising approach to solving complex computational problems. However, many multiagent systems require certain degr...
Imitation represents a powerful approach for programming and autonomous learning in robot and computer systems. An important aspect of imitation is the mapping of observations to ...
—Multi-agent systems are difficult to develop. One reason for this is that agents are embedded in a society where all agents must agree to obey certain social norms in order for...
We describe how a system employing different types of organizational techniques addresses the challenges posed by a large-scale distributed sensor network environment. The high-le...
Switched Processing Systems (SPS) capture the essence of a fundamental resource allocation problem in many modern communication, computer and manufacturing systems involving hetero...