Information-Centered Evolution - Part I

Unifying Patterns in Biology, Culture and Artificial Intelligence
Erscheinungsjahr 2027
ISBN: 978-981-9290-01-7
Verlag: Springer

Buch, Englisch, Format (B × H): 155 mm x 235 mm

This monograph explores how evolution is no longer confined to biological entities but increasingly driven by digital algorithms and quantum phenomena. Expanding upon Richard Dawkins’ concept of the "selfish gene”, the author argues that evolution fundamentally involves the persistence of structured information, irrespective of the physical medium—whether DNA, memes, or algorithms. The narrative traverses’ disciplines, weaving together thermodynamics, AI, quantum computing, and philosophy to illustrate a radical new phase of evolution where artificial minds and quantum agents emerge as powerful new replicators, potentially surpassing biological life in speed, efficiency, and creativity. This book asks profound questions about consciousness, ethics, and our future role amidst these digital and quantum evolutionary agents. It deftly combines rigorous scientific insights with speculative imagination, creating a provocative roadmap for understanding our rapidly changing reality.

The book primarily would be useful for variety of groups (Interdisciplinary by design), such as Clinicians, biomedical researchers, and healthcare innovators seeking to understand the evolutionary principles shaping digital health, AI-driven diagnostics, and personalized medicine. Medical educators, policymakers, and interdisciplinary scholars (bioethics, computational biology, health informatics).

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Gupta, Somesh

Fachgebiete

• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Gesundheitssystem, Gesundheitswesen
• Technische Wissenschaften Technik Allgemein Computeranwendungen in der Technik
• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Medizintechnik, Biomedizintechnik
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Public Health, Gesundheitsmanagement, Gesundheitsökonomie, Gesundheitspolitik
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizintechnik, Biomedizintechnik, Medizinische Werkstoffe
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Wissenschaft & Technologie

Inhaltsverzeichnis

Part I: The Information Paradigm.- Chapter 1: The Selfish Gene Revisited — Darwin's Legacy in a Digital Age.- Chapter 2: What Is Information? — The Invisible Force That Drives Evolution.- Chapter 3: Rise of the Replicators 2.0 — How Artificial Intelligence Is Rewriting the Rules of Evolution.- Chapter 4: The Three Laws of Information Persistence — Why Patterns Endure When Everything Else Fades.- Part II: The Physics of Pattern.- Chapter 5: The Arrow and the Pattern — Time, Entropy, and Information's Persistence.- CHAPTER 6: THE CRYSTALLIZATION OF THE PAST.- Why Time Has a Direction, and What That Direction Is Made Of.- Chapter 7: Bits per Joule — The Thermodynamic Currency of Evolution.- Chapter 8: The Value of a Bit — Fisher Information and the Currency of Prediction.- Chapter 9: Quantum Darwinism — When Information Becomes Reality.- How the Quantum-Classical Transition Illuminates Evolution's Deepest Principle.- Chapter 10: The Clocks We Became — How Information Learned to Bend Time.- Part III: Biological Substrates.- Chapter 11: What Is Life? — An Information Ledger for the Living and the Almost.- Chapter 12: The First Code — How Language Rewrote Evolution.- Chapter 13: The Sentinels Within — The Immune System as Evolution's Real-Time Information Processor.- Chapter 14: Biological Computation — Nature's Information Architectures.- Chapter 15: The Channels of Creation — Developmental Constraints and the Shape of Possibility.- Chapter 16: The Creative Error — Why Evolution Needs Imperfect Copies.- Chapter 17: The Memory of Matter — How Error Correction Makes Life, Mind, and Civilization Endure.- Part IV: Complexity and Cooperation.- Chapter 18: Complexity's Web — The Hidden Architecture of Evolutionary Innovation.- Chapter 19: The Cooperative Gene — How Information Learned to Build Alliances.- Chapter 20: Ecosystems as Information Networks — Trophic Cascades, Mycorrhizal Networks, and the Corruption of Ecological Signals.- Chapter 21: The Dissolving Self — Holobionts and the Information Consortium Called 'You'.- Part V: Cultural Evolution.- Chapter 22: The Dual Inheritance Revolution — How Information Learned to Evolve Twice.- Chapter 23: The Attractor's Art — How Information Learns to Be Desired.- Chapter 24: Sacred Self-Destruction — Sacrifice in Service of Information.- Chapter 25: Memetic Pathologies — Information Epidemiology in the Digital Age.- Chapter 26: The Ancestral Alignment — Indigenous Epistemologies and the Stewardship of Deep Time.- Part VI: Mind Emerging.- Chapter 27: The Hard Problem of Patterns — Consciousness as Information About Information.- Chapter 28: Emergent Minds — When Information Wakes Up.- Chapter 29: The Leaky Grammar — Emotions as Information, Coordination, and Cost.- Chapter 30: The Distributed Mind — How Information Thinks Across Individuals.- Chapter 31: The Illusion of Agency — Prediction, Choice, and the Thermodynamic Cost of Deciding.

Über Autor(innen)

Dr. Somesh Gupta is a physician–scientist and Professor of Dermatology at the All India Institute of Medical Sciences (AIIMS), New Delhi. Since 2018, he has worked at the intersection of clinical medicine and artificial intelligence, and currently serves as Co-Principal Investigator of the Center of Excellence for AI in Healthcare. His research and translational projects focus on data-driven diagnostics, decision support, and responsible deployment of AI tools in real-world care settings. Dr. Gupta has authored and edited multiple books and reference works with Springer, Wiley (Oxford), and Elsevier, and contributes regularly to interdisciplinary initiatives that connect clinicians, engineers, and policymakers. He is committed to building systems that are not only accurate but equitable, scalable, and clinically useful.