Complex systems are characterised by specific time-dependent interactions among their
many constituents. As a consequence they often manifest rich, non-trivial and unexpected …

History-dependent processes are ubiquitous in natural and social systems. Many such
stochastic processes, especially those that are associated with complex systems, become …

A central concern of the cognitive science of language since its origins has been the concept
of the linguistic system. Recent approaches to the system concept in language point to the …

There are at least three distinct ways to conceptualize entropy: entropy as an extensive
thermodynamic quantity of physical systems (Clausius, Boltzmann, Gibbs), entropy as a …

Estudos de revisão de literatura de Intenção Empreendedora (IE) apontam para um futuro
de alta padronização (LIÑÁN; FAYOLLE, 2015) e potencial empobrecimento da pesquisa …

Network growth processes can be understood as generative models of the structure and
history of complex networks. This point of view naturally leads to the problem of network …

Finding automated AI techniques to proactively defend against malware has become
increasingly critical. The ability of an AI model to correctly classify novel malware is …

Literature review studies on Entrepreneurial Intention (EI) point to a future of high
standardization (Liñán & Fayolle, 2015) and potential impoverishment of the current …

Abstract Sample Space Reducing (SSR) processes are simple stochastic processes that
offer a new route to understand scaling in path-dependent processes. Here we define a …

In this chapter we give an overview of the application of complex network theory to quantify
some properties of language. Our study is based on two fables in Ukrainian, Mykyta the Fox …