Add to ORKGIn this paper we discuss the necessity of models including complex adaptive systems in order to eliminate the shortcomings of neoclassical models based on equilibrium theory. A simulation model containing arti cial adaptive agents is used to explore the dynamics of a market of highly replaceable products. A population consisting of two classes of agents is implemented to observe if methods provided by modern computational intelligence can help nding a meaningful strategy for product placement. During several simulation runs it turned out that the agents using CI-methods outperformed their competitors.
Artificial agents, coevolving under a machine learning regime, offer a promising basis for modeling ...
AbstractDevelopment of stock market is affected by many factors. It is difficult to predict changes ...
Artificial stock market is a growing field in the past few years. The essence of this issue is the i...
In this paper we discuss the necessity of models including complex adaptive systems in order to elim...
In this paper we discuss the necessity of models including complex adaptive systems in order to elim...
In order to verify the effects of machine learning in a market structure, an evolutionary model cont...
This paper deals with artificial agents buying and selling products in a virtual market of goods tha...
In order to verify the effects of machine learning in a market structure, an evolutionary model cont...
A constituent feature of adaptive complex systems are non-linear feedback mechanisms between actors....
A constituent feature of adaptive complex systems are non-linear feedback mechanisms between actors....
Abstract. Agent-based simulation has become one of the promising gears for computational social scie...
It is shown that some economic phenomena cannot be studied through models based on the classic schem...
While economic models of strategic interaction among autonomous decision-makers are usually based up...
This thesis investigates how sellers in e-commerce can maximize revenue by utilizing dynamic pricing...
The fact that I have the opportunity to present a second edition of this monograph is an indicator f...
Artificial agents, coevolving under a machine learning regime, offer a promising basis for modeling ...
AbstractDevelopment of stock market is affected by many factors. It is difficult to predict changes ...
Artificial stock market is a growing field in the past few years. The essence of this issue is the i...
In this paper we discuss the necessity of models including complex adaptive systems in order to elim...
In this paper we discuss the necessity of models including complex adaptive systems in order to elim...
In order to verify the effects of machine learning in a market structure, an evolutionary model cont...
This paper deals with artificial agents buying and selling products in a virtual market of goods tha...
In order to verify the effects of machine learning in a market structure, an evolutionary model cont...
A constituent feature of adaptive complex systems are non-linear feedback mechanisms between actors....
A constituent feature of adaptive complex systems are non-linear feedback mechanisms between actors....
Abstract. Agent-based simulation has become one of the promising gears for computational social scie...
It is shown that some economic phenomena cannot be studied through models based on the classic schem...
While economic models of strategic interaction among autonomous decision-makers are usually based up...
This thesis investigates how sellers in e-commerce can maximize revenue by utilizing dynamic pricing...
The fact that I have the opportunity to present a second edition of this monograph is an indicator f...
Artificial agents, coevolving under a machine learning regime, offer a promising basis for modeling ...
AbstractDevelopment of stock market is affected by many factors. It is difficult to predict changes ...
Artificial stock market is a growing field in the past few years. The essence of this issue is the i...