We consider nested nets, i.e. Petri nets in which tokens can be Petri nets themselves. We study value semantics of nested nets rather than reference semantics, and apply nested ne...
Kees M. van Hee, Irina A. Lomazova, Olivia Oanea, ...
Recent research has shown that virtual agents expressing empathic emotions toward users have the potentiality to enhance human-machine interaction. To identify under which circums...
Intentions have been widely studied in AI, both in the context of decision-making within individual agents and in multiagent systems. Work on intentions in multi-agent systems has...
Goal-directed Markov Decision Process models (GDMDPs) are good models for many decision-theoretic planning tasks. They have been used in conjunction with two different reward stru...
This paper presents iFALCON, a model of BDI (beliefdesire-intention) agents that is fully realized as a selforganizing neural network architecture. Based on multichannel network m...