Autonomous agents that learn about their environment can be divided into two broad classes. One class of existing learners, reinforcement learners, typically employ weak learning ...
This paper presents an agent model of the dynamics of a human’s functional state in relation to task performance and environment. It can be used in agent systems that support hu...
Tibor Bosse, Fiemke Both, Rianne van Lambalgen, Ja...
Grid-World is a working computer model which has been used to investigate the search capabilities of artificial agents that understand the world in terms of non-conceptual content...
The reward-based autobiographical memory approach has been applied to the Web search agent. The approach is based on the analogy between the Web and the environmental exploration b...
Maya Dimitrova, Emilia I. Barakova, Tino Lourens, ...
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...