Recent years have seen an explosion of interest in computational models of socio-emotional processes, both as a mean to deepen understanding of human behavior and as a mechanism to...
This paper proposes a framework for agent-based distributed machine learning and data mining based on (i) the exchange of meta-level descriptions of individual learning processes ...
In this paper we present an advanced bidding agent that participates in first-price sealed bid auctions to allocate advertising space on BluScreen – an experimental public adve...
Alex Rogers, Esther David, Terry R. Payne, Nichola...
In this paper we explore some of the connections between cooperative game theory and the utility maximization framework for routing and flow control in networks. Central to both a...
We discuss the treatment of initial datatypes and final process types in the wide-spectrum language HasCASL. In particular, we present specifications that illustrate how datatype...