Agent-based modeling is a powerful tool for systems modeling. Instantiating each domain entity with an agent permits us to capture many aspects of system dynamics and interactions...
Autonomous software agents provide a promising solution to the needs of decentralised networked systems, able to adapt their behaviour in a complex and dynamically changing environ...
In this paper we propose interaction-driven Markov games (IDMGs), a new model for multiagent decision making under uncertainty. IDMGs aim at describing multiagent decision problem...
A system built in terms of autonomous agents may require even greater correctness assurance than one which is merely reacting to the immediate control of its users. Agents make su...
Cu D. Nguyen, Anna Perini, Paolo Tonella, Simon Mi...
Interactive multi-agent system improves reusability of agents by separating application design from agent design. However, it remains difficult for application designers (usually n...