We are designing a computational architecture for a "learning economy" based on personal software agents who represent users in a virtual society and assist them in find...
In multiagent planning, it is often convenient to view a problem as two subproblems: agent local planning and coordination. Thus, we can classify agent activities into two categor...
Researchers building multi-agent algorithms typically work with abstracted away from real applications. The abstracted problem instances allow systematic and detailed investigatio...
Paul Scerri, Pragnesh Jay Modi, Wei-Min Shen, Mili...
We distinguish between two main types of model: predictive and explanatory. It is argued (in the absence of models that predict on unseen data) that in order for a model to increas...
Protection of agent data state and partial results in mobile agent systems continues to draw research interest. Current solutions to integrity attacks are geared at detection of m...
J. Todd McDonald, Alec Yasinsac, Willard C. Thomps...