In many multi agent learning problems, it is difficult to determine, a priori, the agent reward structure that will lead to good performance. This problem is particularly pronoun...
This paper proposes a logic-oriented framework for institutional agents specification and analysis. Within this framework institutional agents are seen as artificial agents that a...
— This paper presents a strategy for planning robot motions in dynamic, cluttered, and uncertain environments. Successful and efficient operation in such environments requires r...
Biologically focused, agent-based models need many parameters in order to simulate system dynamics. It is often essential to explore the consequences of many parameter vectors bef...
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...