Abstract. We adopt the Markov chain framework to model bilateral negotiations among agents in dynamic environments and use Bayesian learning to enable them to learn an optimal stra...
Abstract. Coordination is an essential technique in cooperative, distributed multiagent systems. However, sophisticated coordination strategies are not always cost-effective in all...
Abstract. This paper describes the design and evaluation of an adaptive museum guide for families. In the Kurio system, a mixture of embedded and tangible technology imbues the mus...
Marek Hatala, Karen Tanenbaum, Ron Wakkary, Kevin ...
Abstract. The paper describes a complex e-learning experiment that has involved over 700 students that attended the Human-Computer Interaction course at the "Politehnica"...
Stefan Trausan-Matu, Vlad Posea, Traian Rebedea, C...
Abstract. This paper presents a methodology for automatically customizing a scenario to suit a learner’s abilities, needs, or goals. Training scenarios are often utilized to give...