We present a novel methodology for building humanlike artificially intelligent systems. We take as a model the only existing systems which are universally accepted as intelligent:...
Rodney A. Brooks, Cynthia Breazeal, Robert Irie, C...
Abstract. Choosing between multiple alternative tasks is a hard problem for agents evolving in an uncertain real-time multiagent environment. An example of such environment is the ...
Experimental analysis of networks of cooperative learning agents (to verify certain properties such as the system's stability) has been commonly used due to the complexity of...
This paper describes the use of fault tolerance in a multiagent system. Such an approach is based on the modeling of autonomous agents with planning capabilities. These capabiliti...
It is widely acknowledged that providing explanations is an important capability of intelligent systems. Explanation capabilities are useful, for example, in scenario-based traini...
Maaike Harbers, Karel van den Bosch, John-Jules Ch...