In this paper, we tackle learning in distributed systems and the fact that learning does not necessarily involve the participation of agents directly in the inductive process itse...
This paper contributes to the analysis of the question how altruistic behaviour can be in an agent’s own interest. The question is addressed by involving a temporal dimension in ...
Tibor Bosse, Martijn C. Schut, Jan Treur, David We...
Abstract. Over the past five years, the topic of the origins of language is gaining prominence as one of the big unresolved questions of cognitive science. Artificial Intelligenc...
Hierarchies are powerful tools for decomposing complex control tasks into manageable subtasks. Several hierarchical approaches have been proposed for creating agents that can exec...
Applications that operate in highly dynamic environments must deal with real-time changes of circumstances in order to be consistent and coherent. In this work, we propose an exten...