Oriol Artime, Barbara Benigni, Giulia Bertagnolli, Valeria d’Andrea, Riccardo Gallotti, Arsham Ghavasieh, Sebastian Raimondo, and Manlio De Domenico

Networks are convenient mathematical models to represent the structure of complex systems, from cells to societies. In the last decade, multilayer network science – the branch of the field dealing with units interacting in multiple distinct ways, simultaneously – was demonstrated to be an effective modeling and analytical framework for a wide spectrum of empirical systems, from biopolymers networks (such as interactome and metabolomes) to neuronal networks (such as connectomes), from social networks to urban and transportation networks. In this Element, a decade after one of the most seminal papers on this topic, the authors review the most salient features of multilayer network science, covering both theoretical aspects and direct applications to real-world coupled/interdependent systems, from the point of view of multilayer structure, dynamics and function. The authors discuss potential frontiers for this topic and the corresponding challenges in the field for the next future.

More at: www.cambridge.org

This volume presents the proceedings of the 2022 Conference on Artificial Life (ALIFE 2022) which took place in Trento,
18-22 July 2022 (https://2022.alife.org/). The conference was held virtually due to the ongoing COVID-19 pandemic.
The ALIFE 2022 conference theme is ‘La DOLCE vita. Discoveries on Life Complexity and Evolution for the improvement
of real lives’. The conference theme explores how to improve the quality of real life using techniques and discoveries from
the ALife field. This covers various topics including (but not limited to): the creation of artificial cells and organisms for
health and technological applications, engineered ecosystems for improved environmental quality and sustainable agriculture,
virtual/augmented reality creations with positive social impact, the well-being of our digital infrastructure, AI and ALife algorithms for equitable access to resources and accurate information, AI, ALife or robot assistance for those in need, AI, ALife
or robot applications for food production and distribution, the regeneration, redistribution and reuse of everyday resources,
microbial fuel cell systems for renewable energy, and other innovative technologies for social good.

Read the full book at: direct.mit.edu

Anne Dambricourt Malassé (ed.)

Shows how the new synthesis integrates scientific models of self-organization

Summarizes modern observations in paleontology and biology

Highlights various examples of self-organization as observed in the human lineage.

More at: link.springer.com

Nathaniel Johnston and Dave Greene

This book provides an introduction to Conway’s Game of Life, the
interesting mathematics behind it, and the methods used to construct
many of its most interesting patterns. Lots of small “building
block”-style patterns (especially in the first four or so chapters of
this book) were found via brute-force or other computer searches, and
the book does not go into the details of how these searches were
implemented. However, from that point on it tries to guide the reader
through the thought processes and ideas that are needed to combine
those patterns into more interesting composite ones.

While the book largely follows the history of the Game of Life, that
is not its primary purpose. Rather, it is a by-product of the fact
that most recently discovered patterns build upon patterns and
techniques that were developed earlier. The goal of this book is to
demystify the Game of Life by breaking down the complex patterns that
have been developed in it into bite-size chunks that can be understood
individually.

More at: conwaylife.com

Sergey N. Dorogovtsev and José F. F. Mendes
Provides a systematic account of the statistical mechanics of complex networks
Covers recent trends, concepts, and theoretical techniques, and emphasises interdisciplinary strands
Broad appeal to researchers in complex systems including theoretical physicists and applied mathematicians as well as epidemiologists
Extensive bibliography and appendices offer excellent reference source for students and researchers

More at: global.oup.com