Designing realistic multi-agent systems is a complex process, which involves specifying not only the functionality of individual agents, but also the authority relationships and l...
Anthony Karageorgos, Simon G. Thompson, Nikolay Me...
There is a large literature on the rate of convergence problem for general unconstrained stochastic approximations. Typically, one centers the iterate n about the limit point then...
A modeling system may be required to predict an agent’s future actions under constraints of inadequate or contradictory relevant historical evidence. This can result in low predi...
This paper describes our research effort to employ Grid technologies to enable the development of geoscience applications by integrating workflow technologies with data mining r...
Gianluigi Folino, Agostino Forestiero, Giuseppe Pa...
Cropping systems models have evolved over the last four decades in response to the demand for modeling to address more complex questions, including issues on sustainable productio...
Cheryl H. Porter, J. W. Jones, S. Adiku, A. J. Gij...