Add to ORKGAbstract. This paper provides a review of some fundamental issues of the applications of genetic programming to agent-based computational economics. The issues under review covers four aspects of genetic programming, namely, primitives, semantics, genetic operators, and architecture. The paper surveys the technical issues encoun-tered in each of these four aspects, and some proposed solutions to them.
Introduction Genetic programming is a domain-independent problem-solving approach in which computer ...
This chapter explores the state of the emerging practice of designing markets by the use of agent-ba...
Genetic programming (GP) as an automatic programming method has been rapidly gaining more attention ...
Computational economics investigates economic phenomena by computer simulations. For these simulatio...
A technique for the credible modelling of economic agents with bounded rationality based on the evol...
This paper examines the use of evolutionary programming in agent-based modelling to implement the th...
This chapter seeks to follow Axelrod's research of computer simulations on the Iterated Prisoner's D...
We are concerned with evolutionary algorithms that are employed for economic modeling purposes. We f...
The use of genetic programming in evolutionary economics / A. Pyka, B. Ebersberger. - In: Applied ev...
Abstract. Agent-based computational economic modeling requires demanding work on computer programmin...
Genetic programming is a promising variant of genetic algorithms that evolves dynamic, hierarchical ...
Typically, economists develop models by first selecting a model structure based on theoretical consi...
Agent-based computational economics (ACE) combines elements from economics and computer science. In ...
Agent-based computational economics (ACE) combines elements from economics and computer science. In ...
It is approximately 50 years since the first computational experiments were conducted in what has be...
Introduction Genetic programming is a domain-independent problem-solving approach in which computer ...
This chapter explores the state of the emerging practice of designing markets by the use of agent-ba...
Genetic programming (GP) as an automatic programming method has been rapidly gaining more attention ...
Computational economics investigates economic phenomena by computer simulations. For these simulatio...
A technique for the credible modelling of economic agents with bounded rationality based on the evol...
This paper examines the use of evolutionary programming in agent-based modelling to implement the th...
This chapter seeks to follow Axelrod's research of computer simulations on the Iterated Prisoner's D...
We are concerned with evolutionary algorithms that are employed for economic modeling purposes. We f...
The use of genetic programming in evolutionary economics / A. Pyka, B. Ebersberger. - In: Applied ev...
Abstract. Agent-based computational economic modeling requires demanding work on computer programmin...
Genetic programming is a promising variant of genetic algorithms that evolves dynamic, hierarchical ...
Typically, economists develop models by first selecting a model structure based on theoretical consi...
Agent-based computational economics (ACE) combines elements from economics and computer science. In ...
Agent-based computational economics (ACE) combines elements from economics and computer science. In ...
It is approximately 50 years since the first computational experiments were conducted in what has be...
Introduction Genetic programming is a domain-independent problem-solving approach in which computer ...
This chapter explores the state of the emerging practice of designing markets by the use of agent-ba...
Genetic programming (GP) as an automatic programming method has been rapidly gaining more attention ...