Please use this identifier to cite or link to this item:
http://dspace.uniten.edu.my/jspui/handle/123456789/3973
Title: | Formulating dynamic agents’ operational state via situation awareness assessment | Authors: | Mostafa, S.A. Sharifuddin Ahmad, M. Annamalai, M. Ahmad, A. Gunasekaran, S.S. |
Keywords: | Autonomous agents | Issue Date: | 2015 | Journal: | Advances in Intelligent Systems and Computing Volume 320, 2015, 20p | Abstract: | Managing autonomy in a dynamic interactive system that contains a mix of human and software agent intelligence is a challenging task. In such systems, giving an agent a complete control over its autonomy is a risky practice while manually setting the agent’s autonomy level is an inefficient approach. This paper addresses this issue via formulating a Situation Awareness Assessment (SAA) technique to assist in determining an appropriate agents’ operational state. We propose four operational states of agents’ execution cycles; proceed, halt, block and terminate, each of which is determined based on the agents’ performance. We apply the SAA technique in a proposed Layered Adjustable Autonomy (LAA) model. The LAA conceptualizes autonomy as a spectrum and is constructed in a layered structure. The SAA and the LAA notions are applicable to humans’ and agents’ collaborative environment. We provide an experimental scenario to test and validate the proposed notions in a real-time application. © Springer International Publishing Switzerland 2015. | URI: | https://pure.uniten.edu.my/en/persons/azhana-ahmad/publications/ | DOI: | 10.1007/978-3-319-11218-3_49 |
Appears in Collections: | CCI Scholarly Publication |
Show full item record
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.