When human-multiagent teams act in real-time uncertain domains, adjustable autonomy (dynamic transferring of decisions between human and agents) raises three key challenges. First...
The multiply sectioned Bayesian network (MSBN) framework is the most studied approach for distributed Bayesian Network inference in an MAS setting. This paper describes a new fram...
Abstract— Hierarchical design plays an important role in microprocessor and ASIC domains where design complexity limits design productivity and tool capacity. Slack distribution,...
The algorithm designed in [12, 15] was the very first distributed algorithm to solve the mutual exclusion problem in complete networks by using a dynamic logical tree structure as...
Work allocation planning is a vital and notoriously difficult task in areas characterised by large work forces, contiguous and sometimes overlapping shifts, regulatory and corpora...