We present a framework for dening trading scenarios based on sh market auctions. In these scenarios, agents of arbitrary complexity can participate in electronic auctions under ...
The information access and retrieval capabilities provided by several conventional search engines, while improving upon traditional techniques, are lacking in supporting conceptua...
Reinforcement learning (RL) is one of the machine learning techniques and has been received much attention as a new self-adaptive controller for various systems. The RL agent auto...
Fault tolerance is an important property of large-scale multiagent systems as the failure rate grows with both the number of the hosts and deployed agents, and the duration of com...
The generation of animated human figures especially in crowd scenes has many applications in such domains as the special effects industry, computer games or for the simulation of ...
Adam Szarowicz, Marek Mittmann, Paolo Remagnino, J...