Conventional, neoclassical economics assumes perfectly rational agents (firms, consumers,
investors) who face well-defined problems and arrive at optimal behaviour consistent with …

The recently-adopted global Sustainable Development Goals (SDGs) will have significant
implications for national development planning in both developed and develo** countries …

Agent-based modeling (ABM) is a novel computational methodology for representing the
behavior of individuals in order to study social phenomena. Its use is rapidly growing in …

We live in a world of crowds and corporations, artworks and artifacts, legislatures and
languages, money and markets. These are all social objects-they are made, at least in part …

Abstract The Great Recession seems to be a natural experiment for economic analysis, in
that it has shown the inadequacy of the predominant theoretical framework-the New …

This work nests the Agent-Based macroeconomic perspective into the earlier history of
macroeconomics. We discuss how the discipline in the 70's took a perverse path relying on …

This paper serves as an introduction to many of the themes that follow; it provides a
framework for complexity economics. Complexity economics builds on the proposition that …

With the field of innovation studies (IS) now half a century old, the occasion has been
marked by several studies looking back to identify the main advances made over its lifetime …

What exactly is complexity? Different people have different definitions and none is absolute.
But common to all studies on complexity are systems with multiple elements adapting or …

Market efficiency has been questioned since behavioural finance emerged. However, there
is no theory consolidating both irrational investors´ behaviour and their influence on …