Modeling is used to build structures that serve as surrogates for other objects. As children, we learn to model at a very young age. An object such as a small toy train teaches us...
Comprehending and analyzing agent behavior is an arduous task due to complexities in agent systems and sophistication of agent behaviors, in addition to the common difficulties wi...
Kernel rootkits can provide user level-malware programs with the additional capabilities of hiding their malicious activities by altering the legitimate kernel behavior of an oper...
Co-evolution has been receiving increased attention as a method for multi agent simultaneous learning. This paper discusses how multiple robots can emerge cooperative behaviors thr...
A major paradigm of modeling the decision making of autonomous agents is through behavior-based network models. The network consists of distributed behaviors that compete (or coop...