In our previous research we suggested an approach to maximizing agents preferences over schedules of multiple tasks with temporal and precedence constraints. The proposed approach...
In this paper we describe a simple model of adaptive agents of different types, represented by Learning Classifier Systems (LCS), which make investment decisions about a risk fre...
Multi-agent planning in stochastic environments can be framed formally as a decentralized Markov decision problem. Many real-life distributed problems that arise in manufacturing,...
The rapid development of Internet makes network management on large-scale network a critical issue. But with the management task of large-scale network becoming more complicated, ...
Credit risk has always been an important issue for banks
and other financial intermediaries. A reliable and consistent
computing system is necessary to simplify the decision
mak...
S. Bonura, V. Morreale, G. Cammarata, F. Cantore,...