Green Metaverse: Fuzzy Logic Approaches to Sustainable Virtual Worlds (Information Systems Engineering and Management, 74) - Hardcover

Hardcover

ISBN 10: 3032081823 ISBN 13: 9783032081827

Verlag: Springer, 2026

Inhaltsangabe

Fuzzy Logic Approaches to Sustainable Virtual Worlds explores how computational intelligence can shape digital societies through sustainability-driven design. By merging fuzzy logic models with ecological and ethical frameworks, the book presents strategies for resource management, governance, and resilience in virtual environments. Blending theory with applications, it serves as a reference for researchers, professionals, and policymakers aiming to align virtual ecosystems with real-world sustainability goals.

• Innovative Focus: First book dedicated to applying fuzzy logic in sustaining virtual worlds.
• Interdisciplinary Appeal: Connects AI, computer science, sustainability studies, digital environments, and social sciences.
• Applications: Demonstrates fuzzy logic’s role in decision-making, uncertainty management, environmental modelling, energy efficiency, and governance.
• Global Relevance: Aligns with UN SDGs, making it valuable for educators, policymakers, and technologists.
• Case Studies: Real-world implementations and simulations of green ICT, resource-efficient infrastructures, and sustainable digital societies.

Audience:

• Researchers in AI, fuzzy systems, and sustainability
• Professionals in VR, metaverse, gaming, and eco-digital design
• Policymakers and educators in sustainable technology
• Graduate students exploring emerging tech + sustainability

Publisher Value Add: Aligns with the publishing trend of AI for sustainability, boosting visibility and citation potential.

Competitive Edge: Niche yet timely—bridging fuzzy logic, sustainability, and virtual world creation.

Teaching Potential: Adaptable for workshops, MOOCs, and conference tracks on sustainable computing and fuzzy systems

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Fuzzy Logic Approaches to Sustainable Virtual Worlds explores how computational intelligence can shape digital societies through sustainability-driven design. By merging fuzzy logic models with ecological and ethical frameworks, the book presents strategies for resource management, governance, and resilience in virtual environments. Blending theory with applications, it serves as a reference for researchers, professionals, and policymakers aiming to align virtual ecosystems with real-world sustainability goals.

• Innovative Focus: First book dedicated to applying fuzzy logic in sustaining virtual worlds.
• Interdisciplinary Appeal: Connects AI, computer science, sustainability studies, digital environments, and social sciences.
• Applications: Demonstrates fuzzy logic’s role in decision-making, uncertainty management, environmental modelling, energy efficiency, and governance.
• Global Relevance: Aligns with UN SDGs, making it valuable for educators, policymakers, and technologists.
• Case Studies: Real-world implementations and simulations of green ICT, resource-efficient infrastructures, and sustainable digital societies.

Audience:

• Researchers in AI, fuzzy systems, and sustainability
• Professionals in VR, metaverse, gaming, and eco-digital design
• Policymakers and educators in sustainable technology
• Graduate students exploring emerging tech + sustainability

Publisher Value Add: Aligns with the publishing trend of AI for sustainability, boosting visibility and citation potential.

Competitive Edge: Niche yet timely—bridging fuzzy logic, sustainability, and virtual world creation.

Teaching Potential: Adaptable for workshops, MOOCs, and conference tracks on sustainable computing and fuzzy systems

Details zur Ausgabe

• Verlag: Springer
• Erscheinungsdatum: 2026
• Sprache: Englisch
• ISBN 10: 3032081823
• ISBN 13: 9783032081827
• Einband: Gebundene Ausgabe
• Anzahl der Seiten: 320
• Herausgeber: Kautish Sandeep, Kar Rahul, Abreu António
• Kontakt zum Hersteller: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3; Heidelberg; 69115; Deutschland