Intelligent Software Agent in E-Health System: - Review
DOI:
https://doi.org/10.29304/jqcm.2021.13.1.779Keywords:
Software Agents, Multi Multi-Agent System (MAS, electronic health, Beliefs Desires and Intentions (BDI), Extensible Beliefs Desires and Intentions (EBDI)Abstract
The field of medical care is characterized by complexity, dynamism, and variety. Different challenges occur in healthcare (increasing cost of care, population growth and lack of caregivers). For that, intelligent applications with Agent Technology can provide better health care than the conventional medical system. In fact, the characteristics of Intelligent Agents (proactivity, sociability, autonomy) are a good choice to solve many problems in this regard, since the key success parameter it was the natural mapping for real-life medical issues into electronic life. The design of Multi-agent architecture will effectively paradigm the heterogeneous, distributed, and independent health treatment systems. The multi-agent systems have been used of individual healthcare processes such as a knowledge-depend medical system for complex, multi-parties depend on systems such as a total healthcare where The applied from multi-agent systems(mas) in health treatment sector also has been opened avenues for discovering innovative applications such as socialized and personalized health care models. Therefore, when creating an agent-depend simulation, one of the most important questions to consider is how to model the decision decision-making operations for the agents in the model. In the literature, the wide There are a variety of agent decision-making models available, all of them motivated by multiple goals and study questions. The research explains the advances made so far in the development of regulatory frameworks for deliberative autonomous software in a partially observable environment. In this paper, we display an overview for some of an agent that has attracted attention (Beliefs Desires and Intentions (BDI) and its derivatives such as Extensible Beliefs Desires and Intentions (EBDI), Beliefs-Desires-Obligations-Intentions (BOID)).).
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References
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[38] Iqbal, S., Altaf, W., Aslam, M., Mahmood, W., & Khan, M. U. G. (2016). Application of intelligent agents in health-care: review. Artificial Intelligence Review, 46(1), 83–112.
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[42] Al-abraheemee, M. S. (n.d.). Intelligent Agent for PCManagr Application. 1–17.
[43] Al-Azzawy, D. S., & Diwan, S. A. (2017). Design of Intelligent Agent Based Management Security System for E-Government. Journal of AL-Qadisiyah for Computer Science and Mathematics, 9(2), 131–142.
[44] Farhan, B. I. (2018). Design and Construct Intelligent Tank “Water Level Sensor.” Journal of Al-Qadisiyah for Computer Science and Mathematics, 10(3), 1–8.
[2] Obied, A. (2017). Deliberative Regulation with Self-Organising Sensing. 7(3), 80–94.
https://doi.org/10.5923/j.ac.20170703.03
[3] Obied, A., Hajer, M. A., & Hasan, A. H. (2019). Computerized situated agent as mediator in centralized computing market. Journal of Advanced Research in Dynamical and Control Systems, 11(2 Special Issue), 344–350.
[4] Borowczyk, A., Gawinecki, M., & Paprzycki, M. (2008). BDI agents in a patient monitoring scenario. Proceedings of the 2nd International Conference on Pervasive Computing Technologies for Healthcare 2008, PervasiveHealth, June, 82–85.
[5] Sánchez, Y., Coma, T., Aguelo, A., & Cerezo, E. (2019). ABC-EBDI: An affective framework for BDI agents. Cognitive System
[6] Singh, D., Padgham, L., & Logan, B. (2017). Integrating BDI Agents with agent-based simulation platforms (JAAMAS Extended abstract). Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS, 1, 249–250.s Research, 58, 195–216.
[7] Males, L., & Ribaric, S. (2016). A model of extended BDI agent with autonomous entities (integrating autonomous entities within BDI agent). 2016 IEEE 8th International Conference on Intelligent Systems, IS 2016 - Proceedings, ii, 205–214.
[8] Jiang, H., Vidal, J. M., & Huhns, M. N. (2007). EBDI: An architecture for emotional agents. Proceedings of the International Conference on Autonomous Agents, May 2014, 38–40.
[9] Nair, R., & Tambe, M. (2005). Hybrid BDI-POMDP framework for multiagent teaming. Journal of Artificial Intelligence Research, 23, 367–420.
[10] Balke, T., & Gilbert, G. N. (2014). How Do Agents Make Decisions ? A Survey Introduction : Purpose & Goals Dimensions of Comparison Production Rule Systems. In Jasss (Vol. 17, Issue 2014, pp. 1–
[11] Lieberman, H., & Mason, C. (2002). Intelligent agent software for medicine. Studies in Health Technology and Informatics, 80(February 2002), 99–109.
[12] Jemal, H., Kechaou, Z., Ayed, M. Ben, & Alimi, A. M. (2015). A Multi Agent System for Hospital Organization. International Journal of Machine Learning and Computing, 5(1), 51–56. https://doi.org/10.7763/ijmlc.2015.v5.482
[13] Isern, David, David Sánchez, and Antonio Moreno. 2010. “Agents Applied in Health Care: A Review.” International Journal of Medical Informatics 79(3):145–66. doi: 10.1016/j.ijmedinf.2010.01.003.
[14] Bratman, M. E., Israel, D. J., & Pollack, M. E. (1988). RESOURCE-BOUNDED PRACTICAL REASONING.
4(4), 349–355.
[15] Cohen, P. R., & Levesque, H. J. (1990). Intention is choice with commitment. Artificial Intelligence,
42(2–3), 213–261.
[16] Dignum, F., Kinney, D., & Sonenberg, L. (2002). From Desires, Obligations and Norms to Goals. Cognitive Science Quarterly, 2(3–4), 407–430.
[17] Broersen, J., & Dastani, M. (2000). Goal Generation in the BOID chitecture Ar-. Cognitive Science Quarterly, 2(3–4), 428–447.
[18] Broersen, J., Dastani, M., Hulstijn, J., Huang, Z., & van der Torre, L. (2001). The BOID architecture. 9–16.
[19] Dastani, M., & Van Der Torre, L. (2004). Programming BOID-Plan Agents deliberating about conflicts among defeasible mental attitudes and plans. Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS 2004, 2, 706–713.
[20] Boella, G., & Van Der Torre, L. (2003). BDI and BOID argumentation. Procs. of IJCAI Workshop on Computational Models of Natural Argument, December 2013.
[21] Jiang, H., & Vidal, J. M. (2006). From rational to emotional agents. AAAI Workshop - Technical Report, WS-06-02, 6–14.
[22] KENNEDY, W. G. (2012). Modelling human behavior in agent-based models. In: Agent-Based Models of Geographical Systems (HEPPENSTALL, A. J., CROOKS, A. T., SEE, L. M. & BATTY, M., eds.). Springer Netherlands, pp. 167-179.
[23] PEREIRA, D., OLIVEIRA, E., MOREIRA, N. & SARMENTO, L. (2005). Towards an architecture for emotional bdi agents. In: EPIA'05: Proceedings of 12th Portuguese Conference on Artificial Intelligence.
[24] JIANG, H. (2007). From Rational to Emotional Agents. Ph.D. thesis, University of South Carolina. http://jmvidal.cse.sc.edu/papers/jiang07b.pdf
[25] PADGHAM, L. & TAYLOR, G. (1996). A system for modelling agents having emotion and personality. In: Proceedings of the PRICAI Workshop on Intelligent Agent Systems '96.
[26] D. Gilbert, “Intelligent Agents: The Right Information at the Right Time 2 . Problems Intelligent Agents Can Solve 3. Scenarios of Intelligent Agent Use,” pp. 1–9, 1997.
[27] J. Kozma, “Intelligent agents,” IEEE Potentials, vol. 17, no. 2. pp. 16–19, 1998, doi: 10.1109/45.666640.
[28] A. Croatti, S. Montagna, A. Ricci, E. Gamberini, V. Albarello, and V. Agnoletti, “BDI personal medical assistant agents: The case of trauma tracking and alerting,” Artif. Intell. Med., vol. 96, no. November 2017, pp. 187–197, 2019, doi: 10.1016/j.artmed.2018.12.002.
[29] Jennings, N. R., & Wooldridge, M. (1995). Applying agent technology. Applied Artificial Intelligence, 9(4), 357–369. https://doi.org/10.1080/08839519508945480
[30] Badr, N. L. (2003). An Investigation into Autonomic Middleware Control Services to Support Distributed Self-Adaptive Software. School of Computing and Mathematical Science, Doctor of(November), 113.
[31] Wooldridge, M., & Jennings, N. R. (1995). Wooldridge Jennings.pdf. In Knowledge Eng. Rev. (Vol. 10, Issue 2, pp. 115–152).
[32] Bringsjord, S., & Schimanski, B. (2003). What is artificial intelligence? Psychometric AI as an answer. IJCAI International Joint Conference on Artificial Intelligence, 887–893.
[33] Badr, N. L. (2003). An Investigation into Autonomic Middleware Control Services to Support Distributed Self-Adaptive Software. School of Computing and Mathematical Science, Doctor of(November), 113.
[34] Bratman, M. E., Israel, D. J., & Pollack, M. E. (1988). Plans and resource‐bounded practical reasoning. Computational Intelligence, 4(3), 349–355.
[35] Bellman, R, Adaptive Control Processes: aGuided Tour, Princeton University Press,1961.
[36] Vlassis, N. (2003). A Concise Introduction to Multiagent Systems and Distributed AI. University of Amsterdam, Amsterdam, 1–76.
[37] Corchado, J. M., Bajo, J., de Paz, Y., & Tapia, D. I. (2008). Intelligent environment for monitoring Alzheimer patients, agent technology for health care. Decision Support Systems, 44(2), 382–396.
[38] Iqbal, S., Altaf, W., Aslam, M., Mahmood, W., & Khan, M. U. G. (2016). Application of intelligent agents in health-care: review. Artificial Intelligence Review, 46(1), 83–112.
[39] Fox, J., Glasspool, D., & Modgil, S. (2006). Model for Healthcare Applications. Architecture, December.
[40] Silverman, B. G., Hanrahan, N., Bharathy, G., Gordon, K., & Johnson, D. (2015). A systems approach to healthcare: Agent-based modeling, community mental health, and population well-being. Artificial Intelligence in Medicine, 63(2), 61–71.
[41] Al-Sakran, H. O. (2015). Framework Architecture for Improving Healthcare Information Systems using Agent Technology. In International Journal of Managing Information Technology (Vol. 7, Issue 1, pp. 17–31).
[42] Al-abraheemee, M. S. (n.d.). Intelligent Agent for PCManagr Application. 1–17.
[43] Al-Azzawy, D. S., & Diwan, S. A. (2017). Design of Intelligent Agent Based Management Security System for E-Government. Journal of AL-Qadisiyah for Computer Science and Mathematics, 9(2), 131–142.
[44] Farhan, B. I. (2018). Design and Construct Intelligent Tank “Water Level Sensor.” Journal of Al-Qadisiyah for Computer Science and Mathematics, 10(3), 1–8.
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Published
2021-03-23
How to Cite
jabber, A. H., & Obied, P. D. . A. (2021). Intelligent Software Agent in E-Health System: - Review. Journal of Al-Qadisiyah for Computer Science and Mathematics, 13(1), Comp Page 99 – 108. https://doi.org/10.29304/jqcm.2021.13.1.779
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