Modeling responsible technologies using multiagent system for climate crisis and sustainability
Journal
Computational modeling applications for climate crisis
Publisher
Elsevier
Date Issued
2025
Author(s)
Nanda, Pragyan
Sahoo, Sipra
Marmolejo-Saucedo, José Antonio
Behera, Itishree
Type
text::book::book part
Abstract
This chapter delves into the dynamic landscape of responsible technologies and their crucial role in addressing the climate crisis and advancing sustainability. It highlights the need to understand the intricate connections between technology adoption, environmental impact, and societal behavior across various dimensions of sustainability, including environmental, social, economic, cultural, technological, political, ethical, health, educational, and adaptive aspects. The chapter introduces the concept of responsible technologies and their key principles, emphasizing real-world experimentation limitations and simulation advantages, particularly through a multiagent system (MAS). It explores different modeling approaches, focusing on the suitability of MAS for studying responsible technologies, along with considerations in its implementation. A step-by-step guide is provided for constructing a tailored MAS model for responsible technologies, incorporating real-world data and environmental factors. Findings and insights from MAS simulations are analyzed, shedding light on the implications of responsible technology adoption across these sustainability dimensions. The chapter also underscores the pivotal role of a MAS in comprehensively modeling responsible technologies and invites further research exploration in this expansive domain, serving as a comprehensive guide for researchers, policymakers, and stakeholders committed to leveraging responsible technologies for climate change mitigation and sustainability advancement. ©The authors ©Elsevier.
License
Acceso Restringido
How to cite
Nanda, P., Sahoo, S., Aguilar, R. R., Marmolejo-Saucedo, J. A., & Behera, I. (2025). Modeling responsible technologies using multiagent system for climate crisis and sustainability. In Computational Modeling Applications for Climate Crisis (pp. 203–225). Elsevier. https://doi.org/10.1016/b978-0-443-21905-4.00011-0