This book aims to answer two questions that are fundamental to the study of agent-based
economic models: what is agent-based computational economics and why do we need …

Probabilistic cellular automata (PCA) are interacting discrete stochastic dynamical systems
used as a modeling tool for a wide range of natural and societal phenomena. Their key …

Complexity and complex systems are all around us: from molecular and cellular systems in
biology up to economics and human societies. There is an urgent need for methods that can …

This article designs an efficient two‐class pattern classifier utilizing asynchronous cellular
automata (ACAs). The two‐state three‐neighborhood one‐dimensional ACAs that converge …

This paper deals with the arrow of complexification of engineering. We claim that the
complexification of engineering consists in (a) that shift throughout which engineering …

Cellular automata are fully-discrete dynamical systems with global behaviour depending
upon their locally specified state transitions. They have been extensively studied as models …

Release behavior of encapsulated food bioactives is an important issue which has not been
befittingly studied. Cellular automaton is a mathematical model that shows complex systems …

The thesis is a collection of six stand-alone chapters aimed at setting the foundations for the
philosophy of computational social science. Agent-based modelling has been used for …

Forest fire model is one of the dynamic system models that used cellular automaton
paradigm. In this chapter, we discuss the forest fire model and how to implement in the …

We present a family of automata networks that solve the k-parity problem when run in
parallel. These solutions are constructed by connecting cliques in a non-cyclical fashion …