The Mobile Agent (MA) paradigm advocates the migration of agent code to achieve computational goals. MAs require an executable environment on hosts where mobile code can be execut...
In multi -agent systems based on softbots, communication architectures have significant influences on system performance as interaction and cooperation of softbots are carried out...
Often remote investigations use autonomous agents to observe an environment on behalf of absent scientists. Predictive exploration improves these systems’ efficiency with onboa...
We study a multiagent learning problem where agents can either learn via repeated interactions, or can follow the advice of a mediator who suggests possible actions to take. We pr...
We initiate the study of incentives in a general machine learning framework. We focus on a game-theoretic regression learning setting where private information is elicited from mu...