Generative Agents for Human-Aligned Decision Support in Complex Domains
DOI:
https://doi.org/10.15662/IJEETR.2022.0406007Keywords:
Generative agents, human-aligned AI, decision support systems, complex domains, value alignment, explainability, RLHF, multimodal reasoning, knowledge grounding, human–AI collaborationAbstract
The rapid advancement of generative AI—particularly large language models (LLMs), multimodal transformers, and autonomous agent frameworks—has opened new avenues for decision support in complex, high-stakes domains such as healthcare, finance, cybersecurity, disaster response, and large-scale industrial management. However, a major challenge remains: ensuring that generative agents not only produce high-quality analytical outputs but also remain truly human-aligned, interpretable, context-aware, and ethically constrained. This research paper presents a comprehensive framework for Human-Aligned Generative Decision Support Agents (HAG-DSA) that leverage advanced generative modeling, cognitive planning, interactive reasoning, and domain knowledge integration to assist human decision-makers in environments characterized by uncertainty, dynamic changes, and multidimensional constraints.
The proposed framework conceptualizes generative agents as hybrid intelligent systems capable of synthesizing structured and unstructured data, forecasting multiple scenarios, generating counterfactual explanations, and producing recommendations aligned with human values and domain-specific policies. Key design principles include value alignment, explainability, robustness, uncertainty quantification, and human-in-the-loop co-assessment. Unlike conventional rule-based or predictive models, generative agents can simulate diverse possibilities, summarize complex evidence, identify latent risks, and enhance human situational awareness by creating interpretable decision narratives.
References
1. Kodela, V. INTELLIGENT SYSTEMS AND APPLICATIONS IN ENGINEERING.
2. Kodela, V. (2016). Improving load balancing mechanisms of software defined networks using open flow. California State University, Long Beach.
3. Kodela, V. (2018). A Comparative Study Of Zero Trust Security Implementations Across Multi-Cloud Environments: Aws And Azure. Int. J. Commun. Networks Inf. Secur.
4. Nandhan, T. N. G., Sajjan, M., Keshamma, E., Raghuramulu, Y., & Naidu, R. (2005). Evaluation of Chinese made moisture meters.
5. Gupta, P. K., Mishra, S. S., Nawaz, M. H., Choudhary, S., Saxena, A., Roy, R., &Keshamma, E. (2020). Value Addition on Trend of Pneumonia Disease in India-The Current Update.
6. Hiremath, L., Sruti, O., Aishwarya, B. M., Kala, N. G., &Keshamma, E. (2021). Electrospun nanofibers: Characteristic agents and their applications. In Nanofibers-Synthesis, Properties and Applications. IntechOpen.
7. Manikandan, G., & Srinivasan, S. (2012). Traffic control by bluetooth enabled mobile phone. International Journal of Computer and Communication Engineering, 1(1), 66.
8. Manikandan, G., and G. Bhuvaneswari. "Fuzzy-GSO Algorithm for Mining of Irregularly Shaped Spatial Clusters." Asian Journal of Research in Social Sciences and Humanities 6, no. 6 (2016): 1431-1452.
9. Manikandan, G., & Srinivasan, S. A Novel Approach for effectively mining for spatially co-located moving objects from the spatial data base. International Journal on “CiiT International Journal of Data Mining and Knowledge Engineering, 816-821.
10. Nagar, H., &Menaria, A. K. Compositions of the Generalized Operator (????????, ????, ????, ????; ????????)(????) and their Application.
11. Nagar, H., &Menaria, A. K. On Generalized Function Gρ, η, γ [a, z] And It’s Fractional Calculus.
12. Singh, R., &Menaria, A. K. (2014). Initial-Boundary Value Problems of Fokas’ Transform Method. Journal of Ramanujan Society of Mathematics and Mathematical Sciences, 3(01), 31-36.
13. Sumanth, K., Subramanya, S., Gupta, P. K., Chayapathy, V., Keshamma, E., Ahmed, F. K., & Murugan, K. (2022). Antifungal and mycotoxin inhibitory activity of micro/nanoemulsions. In Bio-Based Nanoemulsions for Agri-Food Applications (pp. 123-135). Elsevier.
14. Gupta, P. K., Lokur, A. V., Kallapur, S. S., Sheriff, R. S., Reddy, A. M., Chayapathy, V., ... &Keshamma, E. (2022). Machine Interaction-Based Computational Tools in Cancer Imaging. Human-Machine Interaction and IoT Applications for a Smarter World, 167-186.
15. Rajoriaa, N. V., &Menariab, A. K. (2022). Fractional Differential Conditions with the Variable-Request by Adams-Bashforth Moulton Technique. Turkish Journal of Computer and Mathematics Education Vol, 13(02), 361-367.
16. Khemraj, S., Thepa, P. C. A., Patnaik, S., Chi, H., & Wu, W. Y. (2022). Mindfulness meditation and life satisfaction effective on job performance. NeuroQuantology, 20(1), 830–841.
17. Sutthisanmethi, P., Wetprasit, S., &Thepa, P. C. A. (2022). The promotion of well-being for the elderly based on the 5 Āyussadhamma in the Dusit District, Bangkok, Thailand: A case study of Wat Sawaswareesimaram community. International Journal of Health Sciences, 6(3), 1391–1408.
18. Thepa, P. C. A. (2022). Buddhadhamma of peace. International Journal of Early Childhood, 14(3).
19. Phattongma, P. W., Trung, N. T., Phrasutthisanmethi, S. K., Thepa, P. C. A., & Chi, H. (2022). Phenomenology in education research: Leadership ideological. Webology, 19(2).
20. Khemraj, S., Thepa, P., Chi, A., Wu, W., & Samanta, S. (2022). Sustainable wellbeing quality of Buddhist meditation centre management during coronavirus outbreak (COVID-19) in Thailand using the quality function deployment (QFD), and KANO. Journal of Positive School Psychology, 6(4), 845–858.
21. Thepa, D. P. P. C. A., Sutthirat, N., &Nongluk (2022). Buddhist philosophical approach on the leadership ethics in management. Journal of Positive School Psychology, 6(2), 1289–1297.
22. Rajeshwari: Manasa R, K Karibasappa, Rajeshwari J, Autonomous Path Finder and Object Detection Using an Intelligent Edge Detection Approach, International Journal of Electrical and Electronics Engineering, Aug 2022, Scopus indexed, ISSN: 2348-8379, Volume 9 Issue 8, 1-7, August 2022. https://doi.org/10.14445/23488379/IJEEE-V9I8P101
23. Rajeshwari.J,K. Karibasappa ,M.T. Gopalkrishna, “Three Phase Security System for Vehicles using Face Recognition on Distributed Systems", Third International conference on informational system design and intelligent applications, Volume 3 , pp.563-571, 8-9 January, Springer India 2016. Index: Springer
24. Sunitha.S, Rajeshwari.J, Designing and Development of a New Consumption Model from Big Data to form Data-as-a- Product (DaaP), International Conference on Innovative Mechanisms for Industry Applications (ICIMIA 2017), 978- 1-5090-5960-7/17/$31.00 ©2017 IEEE.
25. M. Suresh Kumar, J. Rajeshwari & N. Rajasekhar," Exploration on Content-Based Image Retrieval Methods", International Conference on Pervasive Computing and Social Networking, ISBN 978-981-16-5640-8, Springer, Singapore Jan (2022).
26. Vadisetty, R., Polamarasetti, A., Guntupalli, R., Raghunath, V., Jyothi, V. K., &Kudithipudi, K. (2022). AI-Driven Cybersecurity: Enhancing Cloud Security with Machine Learning and AI Agents. Sateesh kumar and Raghunath, Vedaprada and Jyothi, Vinaya Kumar and Kudithipudi, Karthik, AI-Driven Cybersecurity: Enhancing Cloud Security with Machine Learning and AI Agents (February 07, 2022).
27. Polamarasetti, A., Vadisetty, R., Vangala, S. R., Chinta, P. C. R., Routhu, K., Velaga, V., ... & Boppana, S. B. (2022). Evaluating Machine Learning Models Efficiency with Performance Metrics for Customer Churn Forecast in Finance Markets. International Journal of AI, BigData, Computational and Management Studies, 3(1), 46-55.
28. Polamarasetti, A., Vadisetty, R., Vangala, S. R., Bodepudi, V., Maka, S. R., Sadaram, G., ... & Karaka, L. M. (2022). Enhancing Cybersecurity in Industrial Through AI-Based Traffic Monitoring IoT Networks and Classification. International Journal of Artificial Intelligence, Data Science, and Machine Learning, 3(3), 73-81.
29. Vadisetty, R., Polamarasetti, A., Guntupalli, R., Rongali, S. K., Raghunath, V., Jyothi, V. K., &Kudithipudi, K. (2021). Legal and Ethical Considerations for Hosting GenAI on the Cloud. International Journal of AI, BigData, Computational and Management Studies, 2(2), 28-34.
30. Vadisetty, R., Polamarasetti, A., Guntupalli, R., Raghunath, V., Jyothi, V. K., &Kudithipudi, K. (2021). Privacy-Preserving Gen AI in Multi-Tenant Cloud Environments. Sateesh kumar and Raghunath, Vedaprada and Jyothi, Vinaya Kumar and Kudithipudi, Karthik, Privacy-Preserving Gen AI in Multi-Tenant Cloud Environments (January 20, 2021).
31. Vadisetty, R., Polamarasetti, A., Guntupalli, R., Rongali, S. K., Raghunath, V., Jyothi, V. K., &Kudithipudi, K. (2020). Generative AI for Cloud Infrastructure Automation. International Journal of Artificial Intelligence, Data Science, and Machine Learning, 1(3), 15-20.
32. Gandhi Vaibhav, C., & Pandya, N. Feature Level Text Categorization For Opinion Mining. International Journal of Engineering Research & Technology (IJERT) Vol, 2, 2278-0181.
33. Gandhi, V. C., Prajapati, J. A., & Darji, P. A. (2012). Cloud computing with data warehousing. International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), 1(3), 72-74.
34. Gandhi, V. C. (2012). Review on Comparison between Text Classification Algorithms/Vaibhav C. Gandhi, Jignesh A. Prajapati. International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), 1(3).
35. Patel, D., Gandhi, V., & Patel, V. (2014). Image registration using log pola
36. Patel, D., & Gandhi, V. Image Registration Using Log Polar Transform.
37. Desai, H. M., & Gandhi, V. (2014). A survey: background subtraction techniques. International Journal of Scientific & Engineering Research, 5(12), 1365.
38. Maisuriya, C. S., & Gandhi, V. (2015). An Integrated Approach to Forecast the Future Requests of User by Weblog Mining. International Journal of Computer Applications, 121(5).
39. Maisuriya, C. S., & Gandhi, V. (2015). An Integrated Approach to Forecast the Future Requests of User by Weblog Mining. International Journal of Computer Applications, 121(5).
40. esai, H. M., Gandhi, V., & Desai, M. (2015). Real-time Moving Object Detection using SURF. IOSR Journal of Computer Engineering (IOSR-JCE), 2278-0661.
41. Gandhi Vaibhav, C., & Pandya, N. Feature Level Text Categorization For Opinion Mining. International Journal of Engineering Research & Technology (IJERT) Vol, 2, 2278-0181.
42. Singh, A. K., Gandhi, V. C., Subramanyam, M. M., Kumar, S., Aggarwal, S., & Tiwari, S. (2021, April). A Vigorous Chaotic Function Based Image Authentication Structure. In Journal of Physics: Conference Series (Vol. 1854, No. 1, p. 012039). IOP Publishing.
43. Gandhi, V. C., & Gandhi, P. P. (2022, April). A survey-insights of ML and DL in health domain. In 2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS) (pp. 239-246). IEEE.
44. Dhinakaran, M., Priya, P. K., Alanya-Beltran, J., Gandhi, V., Jaiswal, S., & Singh, D. P. (2022, December). An Innovative Internet of Things (IoT) Computing-Based Health Monitoring System with the Aid of Machine Learning Approach. In 2022 5th International Conference on Contemporary Computing and Informatics (IC3I) (pp. 292-297). IEEE.
45. Dhinakaran, M., Priya, P. K., Alanya-Beltran, J., Gandhi, V., Jaiswal, S., & Singh, D. P. (2022, December). An Innovative Internet of Things (IoT) Computing-Based Health Monitoring System with the Aid of Machine Learning Approach. In 2022 5th International Conference on Contemporary Computing and Informatics (IC3I) (pp. 292-297). IEEE.
46. Sharma, S., Sanyal, S. K., Sushmita, K., Chauhan, M., Sharma, A., Anirudhan, G., ... &Kateriya, S. (2021). Modulation of phototropin signalosome with artificial illumination holds great potential in the development of climate-smart crops. Current Genomics, 22(3), 181-213.
47. Patchamatla, P. S. (2022). Performance Optimization Techniques for Docker-based Workloads.
48. Patchamatla, P. S. (2020). Comparison of virtualization models in OpenStack. International Journal of Multidisciplinary Research in Science, Engineering and Technology, 3(03).
49. Patchamatla, P. S., & Owolabi, I. O. (2020). Integrating serverless computing and kubernetes in OpenStack for dynamic AI workflow optimization. International Journal of Multidisciplinary Research in Science, Engineering and Technology, 1, 12.
50. Patchamatla, P. S. S. (2019). Comparison of Docker Containers and Virtual Machines in Cloud Environments. Available at SSRN 5180111.
51. Patchamatla, P. S. S. (2021). Implementing Scalable CI/CD Pipelines for Machine Learning on Kubernetes. International Journal of Multidisciplinary and Scientific Emerging Research, 9(03), 10-15662.
52. Khemraj, S., Chi, H., Wu, W. Y., &Thepa, P. C. A. (2022). Foreign investment strategies. Performance and Risk Management in Emerging Economy, resmilitaris, 12(6), 2611–2622.
53. Anuj Arora, “Analyzing Best Practices and Strategies for Encrypting Data at Rest (Stored) and Data in Transit (Transmitted) in Cloud Environments”, International Journal of Research in Electronics and Computer Engineering, Vol. 6, Issue 4 (October–December 2018).
54. Anuj Arora, “Enhancing Customer Experience across Multiple Business Domains using Artificial Intelligence”, The Research Journal, Vol. 5, Issue 5, September–October 2019.
55. Anuj Arora, “Comprehensive Cloud Security Strategies For Protecting Sensitive Data In Hybrid Cloud Environments”, International Journal Of Current Engineering And Scientific Research (Ijcesr), Volume 6, Issue 2, 2019.
56. Anuj Arora, “Securing Multi-Cloud Architectures Using Advanced Cloud Security Management Tools”, International Journal of Research in Electronics and Computer Engineering, Vol. 7, Issue 2 (April–June 2019).
57. Aryendra Dalal, “Maximizing Business Value through Artificial Intelligence and Machine Learning in SAP Platforms”, International Journal of Research in Electronics and Computer Engineering (IJRECE), Vol. 7, Issue 4 (October–December 2019).
58. Baljeet Singh, “Shifting Security Left Integrating DevSecOps into Agile Software Development Lifecycles”, The Research Journal (TRJ), Vol. 5, Issue 1, January–February 2019.
59. Anuj Arora, “Artificial Intelligence-Driven Solutions for Improving Public Safety and National Security Systems”, International Journal of Management, Technology and Engineering, Volume X, Issue VII, July 2020.
60. Anuj Arora, “Challenges of Integrating Artificial Intelligence in Legacy Systems and Potential Solutions for Seamless Integration”, The Research Journal, Vol. 6, Issue 6, November–December 2020.
61. Aryendra Dalal, “Harnessing the Power of SAP Applications to Optimize Enterprise Resource Planning and Business Analytics”, International Journal of Research in Electronics and Computer Engineering (IJRECE), Vol. 8, Issue 2, April–June 2020.
62. Aryendra Dalal, “Exploring Advanced SAP Modules to Address Industry Specific Challenges and Opportunities in Business”, The Research Journal, Vol. 6, Issue 6, November–December 2020.
63. Baljeet Singh, “Advanced Oracle Security Techniques for Safeguarding Data Against Evolving Cyber Threats”, International Journal of Management, Technology and Engineering, Volume X, Issue II, February 2020.
64. Baljeet Singh, “Integrating Security Seamlessly into DevOps Development Pipelines through DevSecOps – A Holistic Approach to Secure Software Delivery”, The Research Journal (TRJ), Vol. 6, Issue 4, July–August 2020.
65. Baljeet Singh, “Automating Security Testing in CI/CD Pipelines using DevSecOps Tools – A Comprehensive Study”, Science, Technology and Development, Volume IX, Issue XII, December 2020.
66. Hardial Singh, “Artificial Intelligence and Robotics Transforming Industries with Intelligent Automation Solutions”, International Journal of Management, Technology and Engineering, Volume X, Issue XII, December 2020.
67. Hardial Singh, “Evaluating AI-Enabled Fraud Detection Systems for Protecting Businesses from Financial Losses and Scams”, The Research Journal (TRJ), Vol. 6, Issue 4, July–August 2020.
68. Hardial Singh, “Artificial Intelligence for Predictive Analytics – Gaining Actionable Insights for Better Decision-Making”, International Journal of Research in Electronics and Computer Engineering, Vol. 8, Issue 1, January–March 2020.
69. Aryendra Dalal, “Exploring Next-Generation Cybersecurity Tools for Advanced Threat Detection and Incident Response”, Science, Technology and Development, Volume X, Issue I, January 2021.
70. Baljeet Singh, “Best Practices for Secure Oracle Identity Management and User Authentication”, International Journal of Research in Electronics and Computer Engineering, Vol. 9, Issue 2, April–June 2021.
71. Aryendra Dalal, “Designing Zero Trust Security Models to Protect Distributed Networks and Minimize Cyber Risks”, International Journal of Management, Technology and Engineering, Volume XI, Issue XI, November 2021.
72. Aryendra Dalal, “Leveraging Artificial Intelligence to Improve Cybersecurity Defences Against Sophisticated Cyber Threats”, International Journal of Management, Technology and Engineering, Volume XII, Issue XII, December 2022.
73. Manikandan, G., & Srinivasan, S. (2012). Traffic control by bluetooth enabled mobile phone. International Journal of Computer and Communication Engineering, 1(1), 66.
74. Bhuvneswari, G., and G. Manikandan. "Recognition of ancient stone inscription characters using histogram of oriented gradients." Proceedings of International Conference on Recent Trends in Computing, Communication & Networking Technologies (ICRTCCNT). 2019.
