The aim of this work is the design of a framework for the revision of knowledge in abductive reasoning agents, based on interaction. We address issues such as: how to exploit knowl...
We address the problem of designing distributed algorithms for large scale networks that are robust to Byzantine faults. We consider a message passing, full information model: the ...
Valerie King, Steven Lonargan, Jared Saia, Amitabh...
Among the most important challenges for contemporary AI research are the development of methods for improved robustness, adaptability, and overall interactiveness of systems. Inter...
— Hyper-heuristics or “heuristics that coordinate heuristics” are fastly becoming popular for solving combinatorial optimisation problems. These methods do not search directl...
Many applied problems in domains such as military operations, manufacturing, and logistics require that entities change location under certain constraints. These problems are trad...