Defining tasks and actions complexity-levels via their deliberation intensity measures in the layered adjustable autonomy model

• Main Authors: Mostafa S.A., Gunasekaran S.S., Ahmad M.S., Ahmad A., Annamalai M., Mustapha A.
• Other Authors: 37036085800
• Format: Conference Paper
• Published: Institute of Electrical and Electronics Engineers Inc. 2023

In Multi-agent Systems (MAS), agents perform a variety of actions to autonomously complete a number of tasks. In this paper, we describe a mechanism to measure a task's deliberation intensity and apply the mechanism in the Layered Adjustable Autonomy (LAA) model. Basically, the number of actions that the agents need to do to complete a particular task determines the task's deliberation intensity. Consequently, each of the actions deliberation intensity determines its complexity-level. Actions complexity levels are categorized as high-level if the action is deliberative, intermediate-level if the action pseudo-deliberative and low-level if the action is non-deliberative. Ultimately, the deliberation intensity measure of a task and its actions identify different aspects of the agents' and the actions' parameters including the deliberation length and the autonomy configuration of the LAA model. © 2014 IEEE.