Modular programming has the usual benefits associated with structured programming, information hiding and reusability, but also has additional benefits to offer when applied in ...
Developing scalable algorithms for solving partially observable Markov decision processes (POMDPs) is an important challenge. One promising approach is based on representing POMDP...
Christopher Amato, Daniel S. Bernstein, Shlomo Zil...
A good deal of progress has been made in the past few years in the design and implementation of control programs for autonomous agents. A natural extension of this work is to consi...
POMDPs and their decentralized multiagent counterparts, DEC-POMDPs, offer a rich framework for sequential decision making under uncertainty. Their computational complexity, howeve...
Christopher Amato, Daniel S. Bernstein, Shlomo Zil...
Abstract. In [1, 8] we proposed a complete design of a workflow management system using mobile agents. The proposed solution was highly distributed and almost without centralized ...
Zoran Budimac, Mirjana Ivanovic, Aleksandar Popovi...