Time series are found widely in engineering and science. We study multiagent forecasting in time series, drawing from literature on time series, graphical models, and multiagent s...
This paper introduces a multiagent optimization algorithm inspired by the collective behavior of social insects. In our method, each agent encodes a possible solution of the probl...
Decision-support requires the gathering and presentation of information, but is subject to many kinds of resource restrictions (e.g. cost, length, time). Individual users differ n...
The paper describes main features of an Intelligent Scheduler for Road Transportation Applications based on Magenta agent technology and characterized by a number of unique, advan...
Abstract. Our previous research presents a methodology of cooperative problem solving for beliefdesire-intention (BDI) systems, based on a complete formal theory called TEAMLOG. Th...
Marcin Dziubinski, Rineke Verbrugge, Barbara Dunin...