: Recommender systems help users sort through vast quantities of information. Sometimes, however, users do not know if they can trust the recommendations they receive. Adding a con...
Sean M. McNee, Shyong K. Lam, Catherine Guetzlaff,...
: This paper presents a document recommendation system based on clustering peer-to-peer networks. It's an unstructured P2P system. In this system each agent-peer can learn use...
This paper introduces design principles for modular Bayesian fusion systems which can (i) cope with large quantities of heterogeneous information and (ii) can adapt to changing co...
Gregor Pavlin, Patrick de Oude, Marinus Maris, Jan...
In a world where intelligence can be arguably measured by an animal’s ability to use tools, are we marking ourselves for natural selection? Software development tools are steadi...
Self-healing in fault tolerant multi-agent systems is the system ability to automatically detect, diagnose, and repair the faults. However, most of the available solutions are fra...
Maryam Ashoori, Chunyan Miao, Majid Nili, Mehdi Am...