Modeling Cellular Systems

Complexity science uses computation to explore the physical and social sciences. In Think Complexity, you’ll use graphs, cellular automata, and agent-based models to study topics in physics, biology, and economics.

A Practical Guide for DAS Deployment from Planning to Acceptance

This self-contained introduction shows how stochastic geometry techniques can be used for studying the behaviour of heterogeneous cellular networks (HCNs). The unified treatment of analytic results and approaches, collected for the first time in a single volume, includes the mathematical tools and techniques used to derive them.

This book constitutes the refereed proceedings of the 7th International Conference on Cellular Automata for Research and Industry, ACRI 2006, held in Perpignan, France in September 2006. The 53 revised full papers and 19 revised poster papers presented together with 6 invited lectures were carefully reviewed and selected from around 100 submissions. The papers are organized in topical sections on CA theory and implementation, computational theory, population dynamics, physical modeling, urban, environmental and social modeling, traffic and boolean networks, multi-agents and robotics, crypto and security, dynamical systems, as well as crowds and cellular automata.