This paper tries to connect the theory of genetic algorithm (GA) learning to evolutionary game theory. It is shown that economic learning via genetic algorithms can be described as a specific form of evolutionary game. It will be pointed out that GA learning results in a series of near Nash...

Chapter 1 Matti Hellqvist - Tatu Laine Introduction 9 Chapter 2 Klaus Abbink - Ronald Bosman - Ronald Heijmans - Frans van Winden Disruptions in large value payment systems: An experimental approach 15 Chapter 3 Edward Denbee - Rodney Garratt - Peter Zimmerman Methods for evaluating liquidity...

At present, computational methods have received considerable attention in economics and finance as an alternative to conventional analytical and numerical paradigms. This Special Issue brings together both theoretical and application-oriented contributions, with a focus on the use of...

Research on quantum technology spans multiple disciplines: physics, computer science, engineering, and mathematics. The objective of this manuscript is to provide an accessible introduction to this emerging field for economists that is centered around quantum computing and quantum money. We...

The preparation, implementation, coordination and verification of policy measures is a complex and difficult process. This paper presents the first results of an empirical ex-ante analysis which evaluates the effects of renewable energy policies on the bioenergy sector applying an Applied...