Research Article
Modelling Situation-Aware Formalism Using BDI Reasoning Agents
@INPROCEEDINGS{10.1007/978-3-030-67101-3_14, author={Kiran Saleem and Hafiz Mahfooz Ul Haque}, title={Modelling Situation-Aware Formalism Using BDI Reasoning Agents}, proceedings={Context-Aware Systems and Applications, and Nature of Computation and Communication. 9th EAI International Conference, ICCASA 2020, and 6th EAI International Conference, ICTCC 2020, Thai Nguyen, Vietnam, November 26--27, 2020, Proceedings}, proceedings_a={ICCASA \& ICTCC}, year={2021}, month={1}, keywords={Situation-awareness BDI Multi-agent system Netlogo}, doi={10.1007/978-3-030-67101-3_14} }- Kiran Saleem
Hafiz Mahfooz Ul Haque
Year: 2021
Modelling Situation-Aware Formalism Using BDI Reasoning Agents
ICCASA & ICTCC
Springer
DOI: 10.1007/978-3-030-67101-3_14
Abstract
Natural or man-made disasters are unavoidable situations that can occur anytime and anywhere. Timely disaster response plays a vital role in reducing its after-effects and can save countless lives. Over the years, people have been developing the guidelines and processes to cope up with such kinds of hazardous situations. In recent years, situation-awareness has been considered to be the most fascinating approach for the situation assessment and provides decision support accordingly. Situation-aware systems observe/perceive dynamic changes in the environment, understand/comprehend the situation, and perform actions according to the environment. Although state-of-the-art formalisms have been developed to handle such kinds of hazardous situations intelligently and rescue the victims. However, there are still many uncontrolled challenging issues. In this paper, we present a Belief-Desire-Intention (BDI) based multi-agent formalism to model the context-aware decision support system dynamically in order to achieve the desired goals. To illustrate the use of the proposed formalism, we develop a simple case study in which BDI agents are modeled and simulated to present results in terms of agents’ reasoning processes. The behavior of the system has been tested using the NetLogo simulation environment to rigorously evaluate the validity of the system.
