Formulating dynamic agents’ operational state via situation awareness assessment

Salama A. Mostafa, Mohd Sharifuddin Ahmad, Muthukkaruppan Annamalai, Azhana Ahmad, Saraswathy Shamini Gunasekaran

Research output: Contribution to journalArticle

11 Citations (Scopus)

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.

Original languageEnglish
JournalAdvances in Intelligent Systems and Computing
Volume320
DOIs
Publication statusPublished - 01 Jan 2015

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science(all)

Fingerprint Dive into the research topics of 'Formulating dynamic agents’ operational state via situation awareness assessment'. Together they form a unique fingerprint.

  • Cite this