Machinic Life-Experience Ecosystems

Complex Transformations of Intelligence
Erscheinungsjahr 2027
ISBN: 978-3-032-35092-3
Verlag: Springer

Buch, Englisch, 486 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Contemporary Systems Thinking

presents a new theory of how intelligence emerges, evolves, and can be governed in an age of human-AI entanglement. Rather than treating intelligence as the property of models, organizations, or technologies alone, the book introduces the Machinic Life-Experience Ecosystem (MLXE) as the fundamental unit of co-intelligent transformation—where human experience, machinic capabilities, organizational processes, and institutions continuously shape one another.

Drawing on Dynamic Relationality Theory together with assemblage theory, category theory, sheaf theory, and gauge theory, the authors develop a rigorous framework for understanding how intelligence becomes consequential through relationships. Intelligence is reframed not as computational capability alone, but as a dynamic quality of coupled systems that must remain adaptive, justifiable, legitimate, contestable, and repairable as they evolve.

The book develops the conceptual and operational foundations of co-intelligence through four interconnected domains—Life Territories, Ecosystem Flows, Experience Universes, and Machinic Trajectories—and introduces a comprehensive architecture for governing complex intelligence systems, including Tokenized Dynamic Intelligence (TDI), Global Super-Intelligence (GSI) as repairable polycentric coherence, the REAL governance framework, scenario runs, obstruction diagnosis, metric deformation tests, and the MLXE Operating System. These provide researchers and practitioners with new ways to understand, evaluate, and steward intelligence as it circulates across people, organizations, AI systems, and society.

As the capstone volume of the Dynamic Relationality Theory trilogy, establishes the standards layer of co-intelligence. It offers scholars, executives, policymakers, and systems designers a foundational framework for building intelligent ecosystems that create value while remaining coherent, accountable, contestable, and capable of continual learning and repair.

Zielgruppe

Research

Autoren/Hrsg.

Ozcan, Kerimcan

Ramaswamy, Venkat

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Informatik Natürliche Sprachen & Maschinelle Übersetzung
• Mathematik | Informatik EDV | Informatik Professionelle Anwendung

Inhaltsverzeichnis

Introduction: Framing the Dialogue on Human-AI Ecosystems.- Part 1: From Human-AI Interactions to Machinic Life Experience Ecosystems (MLXEs).- Present and Future of Human AI-Interactions.- Machinic Ecosystems Grounded in Life Experiences.- Part 2. Foundations of Dynamic Relationality in MLXEs.- An Ontology of Relations for MLXEs via Assemblage Theory.- A Relational Epistemology for MLXEs via Category Theory.- An Axiology of Relationality for MLXEs via Sheaf Theory.- A Pragmatics of Dynamics for MLXEs via Gauge Theory.- Part 3: Networked Complexity of Practices and Valuation in MLXEs.- Network Dynamics and Interconnectivity in MLXEs.- Decoding Systemic Complexity of MLXEs.- Mapping Evaluation and Valorization in MLXEs.- Evolving Practices and Adaptations in MLXEs.- Part 4: Theoretical and Practical Implications of MLXEs.- AI Research and Development for MLXEs.- Ecosystem Governance in MLXEs.- Organizational Design and Strategy for MLXEs.- Product-Services Marketing in MLXEs.-Conclusion: Charting the Path Forward in MLXEs.

Über Autor(innen)

Dr. Kerimcan Ozcan is Associate Professor of Marketing at the School of Business and Global Innovation, Marywood University (Scranton, USA). His research focuses on co-creation, interactive platforms, digitalization, AI-enabled transformation, branding, customer service, and industrial/B2B marketing. He is co-author, with Venkat Ramaswamy, of (Stanford University Press, 2014), and co-author, with Venkat Ramaswamy and Krishnan Narayanan, of (Palgrave Macmillan, 2026). He holds a Ph.D. in Marketing and an M.A. in Applied Economics from the University of Michigan, an M.S. in Management from Georgia Institute of Technology, and a B.S. in Electrical and Electronics Engineering from Bogaziçi University.

Dr. Venkat Ramaswamy is Professor of Marketing at the Ross School of Business, University of Michigan (Ann Arbor, USA). He is co-author, with C. K. Prahalad, of (Harvard Business School Press, 2004), and co-author, with Francis Gouillart, of (Free Press, 2010). He is also co-author, with Kerimcan Ozcan, of (Stanford University Press, 2014); co-author with Krishnan Narayanan, of (Penguin Random House, 2025); and co-author, with Kerimcan Ozcan and Krishnan Narayanan, of (Palgrave Macmillan, 2026). He holds a Ph.D. in Marketing from the Wharton School of the University of Pennsylvania and a B.Tech. in Mechanical Engineering from the Indian Institute of Technology.

Drs. Ozcan and Ramaswamy are also co-authors of (Elsevier, 2024) and (De Gruyter, 2025).