A Belief-Based Multi-Agent Markov Decision Process for Staff Management
BibTeX
@MISC{Nguyen_abelief-based,
author = {Philip H. P. Nguyen and Minh-quang Nguyen and Ken Kaneiwa},
title = {A Belief-Based Multi-Agent Markov Decision Process for Staff Management},
year = {}
}
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Abstract
This paper presents a system designed for task allocation, staff management and decision support in a large enterprise, in which permanent staff and contractors work alongside under the overall management of a manager to handle tasks initiated by end-users. The process of allocating a new task to a worker is modeled under different situations, taking into account user requirements as well as the different goals of management, permanent staff and contractors. Their actions and strategies are formalized as autonomous decision-support subsystems inside a multi-agent system, based on Contract Net Protocol, belief theory, multiobjective optimization theory and Markov Decision Process.
Keyphrases
staff management belief-based multi-agent markov decision process permanent staff contract net protocol account user requirement multi-agent system new task decision support multiobjective optimization theory autonomous decision-support subsystem task allocation markov decision process belief theory different situation overall management different goal large enterprise
