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Título del libro: Computational Modeling Applications For Climate Crisis
Título del capítulo: Modeling responsible technologies using multiagent system for climate crisis and sustainability

Autores UNAM:
JOSE ANTONIO MARMOLEJO SAUCEDO;
Autores externos:

Idioma:

Año de publicación:
2024
Palabras clave:

climate crisis; multiagent system (MAS); policy implications; Responsible technologies; simulation; sustainability modeling


Resumen:

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. © 2025 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.


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