Similar Search Results

Evolving Automata Negotiate with a Variety of Opponents

Bragt, D.D.B. van; Poutre, J.A. La - Society for Computational Economics - SCE - 2001

with different preferences. We show that such flexible and powerful bargaining agents can be obtained using the combination … of finite automata and evolutionary algorithms (EAs). Finite automata allow the bargaining agents to behave differently … against different opponents. EAs can be used to adapt the agents' bargaining strategies (consisting of finite automata) in …

Persistent link: https://www.econbiz.de/10005345571

Heat Baths and Computational Agent-Based Modeling

Clark, Andrew - 2012

In this paper, we examine an agent-based model and an equation-based model in the form of a mean field model. We show how the mean field model is a small, fast model that identifies the high level properties of a subject, in this case financial time series’ stylized facts. The agent based...

Persistent link: https://www.econbiz.de/10014200972

Chapter 27 Market Design Using Agent-Based Models

Marks, Robert - In: Handbook of computational economics : volume 2, …, (pp. 1339-1380). 2006

This chapter explores the state of the emerging practice of designing markets by the use of agent-based modeling, with special reference to electricity markets and computerized (on-line) markets, perhaps including real-life electronic agents as well as human traders. The paper first reviews the...

Persistent link: https://www.econbiz.de/10014024378

On the Implementation and Use of a Genetic Algorithm with Genetic Acquisitions

Mateescu, George Daniel - In: Journal for Economic Forecasting (2010) 2, pp. 223-230

A genetic algorithm is convergent when genetic mutations occur on the objective function gradient direction. These genetic mutations are called genetic acquisitions (Mateescu, 2005). We improved the algorithm and its implementation by using the characteristics of parents in order to generate new...

Persistent link: https://www.econbiz.de/10008492972

OPTIMIZATION BY USING EVOLUTIONARY ALGORITHMS WITH GENETIC ACQUISITIONS

Mateescu, George Daniel - In: Journal for Economic Forecasting 2 (2005) 2, pp. 26-30

Evolutionary algorithms represent a powerful tool for a wide set of problems, based on biological principles. The main goal of this article is to underline the principle of genetic acquisitions. To do this, we will use mutations with respect to the gradient of an objective function.

Persistent link: https://www.econbiz.de/10005612288

Una introducción a la computación evolutiva y algunas de sus aplicaciones en Economía y Finanzas = An Introduction to Evolutionary Computation and Some of its Applications in Econo...

Quintero, Santana; Vicente, Luis; Coello Coello, Carlos A. - In: Revista de Métodos Cuantitativos para la Economía y … 2 (2006) 1, pp. 3-26

Este artículo pretende proporcionar un panorama general de la computación evolutiva, sus orígenes, sus paradigmas principales y algunas de sus aplicaciones en Economía y Finanzas. Se discuten, entre otras cosas, los descubrimientos científicos más importantes que originaron el denominado...

Persistent link: https://www.econbiz.de/10005634771

An Algorithm for On-Line Price Discrimination

Bragt, D.D.B. van; Somefun, D.J.A.; Kutschinski, E.; … - Society for Computational Economics - SCE - 2002

Persistent link: https://www.econbiz.de/10005345373

Emergence of innovation networks from R&D cooperation with endogenous absorptive capacity

Egbetokun, Abiodun Adeyemi; Savin, Ivan - 2013

This paper extends the existing literature on strategic R&D alliances by presenting a model of innovation networks with endogenous absorptive capacity. The networks emerge as a result of bilateral cooperation over time between firms occupying different locations in the knowledge space. Social...

Persistent link: https://www.econbiz.de/10009784064

Distributed Randomized Multiagent Policy Iteration in Reinforcement Learning

Zhang, Weipeng - 2023

We propose a distributed randomized policy iteration algorithm for infinite horizon dynamic programming problems for which the control at each stage is m-dimensional. The traditional policy iteration algorithm involves performing a minimization over an m-dimensional constraint set and has a...

Persistent link: https://www.econbiz.de/10014347404

An Efficient Algorithm for the Calibration of Agent-Based Models Using Machine Learning

Zegadło, Piotr - 2020

A new algorithm for calibrating agent-based models is proposed, which employs a popular gradient boosting framework. Machine learning techniques are not used to develop a surrogate model, but rather assist in narrowing down the parameter space during the search for optimal parameters. Our...

Persistent link: https://www.econbiz.de/10012839291

1
2
3
4
5
6
7
8
9
10
Next
Last