In this timely book, Juval Portugali ties together ancient archaeology with the present to explore the city as a phenomenon that has been rapidly increasing in power and importance since its earliest emergence. He links the walled cities of ancient civilization with modern-day borderless cities, while providing connections between modern nationalism and postmodern urbanism.

More at: www.e-elgar.com

The scientific understanding of energy, matter, and spacetime has advanced rapidly, whereas the study of information—its properties, behavior, and dynamics—remains underdeveloped. Despite the complexity of knowledge and information, our conceptual and empirical grasp of its evolution lags significantly behind. Progress in disciplines such as artificial intelligence, genomics, cognitive science, cyber governance, global ecology, and quantum mechanics depends critically on a more rigorous understanding of information dynamics. Absent such insight, humanity risks succumbing to entropic forces that threaten systemic stability and long-term survival.

In this book, Klaus Jaffe addresses the limitations of prior treatments of infodynamics, many of which have been incomplete, imprecise, or conceptually flawed. It offers an interdisciplinary investigation into the relationship between information and energy, drawing on theoretical and empirical contributions from economics, biology, and physics. By challenging conventional paradigms, the book constructs a conceptual framework that bridges disparate scientific domains and societal processes. The resulting synthesis opens new avenues for empirical inquiry and policy-relevant research, with implications for both academic scholarship and public discourse.

Inviting readers to explore the evolving frontier of information science, the book highlights the role of information and its impact on both natural and social systems.

More at: link.springer.com

ALIFE 2025: Ciphers of Life: Proceedings of the Artificial Life Conference 2025

Read the full Proceedings at: direct.mit.edu

* Explores the potential of complex systems in shaping the future of communication networks
* Integrates network science, bio-inspired models, artificial intelligence, and higher-order graph theory
* Provides a guide for researchers to use the full potential of complex systems in revolutionizing communication networks

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This book offers a unique perspective on the evolution of scientific theories through the lens of their changing complexity.

To explore this non-trivial connection, the author draws on well-known historical cases from the philosophy of science tradition to test the central theses of the work. At the same time, the book develops a conceptual framework in which the debates on emergence and complexity play a central role.

The opening chapter provides the historical background of emergence, examining both classical and contemporary perspectives, highlighting diverse viewpoints and their contributions to the current discussion.

The second chapter turns to the foundations of complexity science, detailing its key methodologies and emphasizing the role of information in describing and modeling systems.

Building on this foundation, the book introduces a novel quantitative definition of emergent properties, grounded in the concept of parametric model complexity. It discusses how slight variations in control parameters can generate universal features and explores the implications of these dynamics for our understanding of systemic behavior.

Finally, the author shows how this framework illuminates critical aspects of scientific practice, ranging from the criteria guiding theory choice to the relationship between technological innovation and the risk of the appearance of anomalies. By combining historical analysis, conceptual innovation, and formal modeling, the book presents a compelling vision of how complexity and emergence can be predictive indicators of theoretical transformation, recognizing the moments when our current models have reached their limits.

More at: link.springer.com