CHF 189.00

Econophysics of Agent-based models

English · Hardback

Shipping usually within 6 to 7 weeks

Description

Read more

The primary goal of this book is to present the research findings and conclusions of physicists, economists, mathematicians and financial engineers working in the field of "Econophysics" who have undertaken agent-based modelling, comparison with empirical studies and related investigations.
Most standard economic models assume the existence of the representative agent, who is "perfectly rational" and applies the utility maximization principle when taking action. One reason for this is the desire to keep models mathematically tractable: no tools are available to economists for solving non-linear models of heterogeneous adaptive agents without explicit optimization. In contrast, multi-agent models, which originated from statistical physics considerations, allow us to go beyond the prototype theories of traditional economics involving the representative agent. This book is based on the Econophys-Kolkata VII Workshop, at which many such modelling efforts were presented. In the book, leading researchers in their fields report on their latest work, consider recent developments and review the contemporary literature.

About the author


Anirban Chakraborti


UrRL: http://fiquant.mas.ecp.fr/chakraboa


Frédéric Abergel


1992 Habilitation à diriger des recherches, département de Mathématiques,


Université Paris XI


1986 PhD in Mathematics, Université Paris XI and École Normale


Supérieure


1981-1985 École Normale Supérieure


Bikas K. Chakrabarti


http://www.saha.ac.in/cmp/bikask.chakrabarti/bikas.html

Summary


The primary goal of this book is to present the research findings and conclusions of physicists, economists, mathematicians and financial engineers working in the field of "Econophysics" who have undertaken agent-based modelling, comparison with empirical studies and related investigations.


Most standard economic models assume the existence of the representative agent, who is “perfectly rational” and applies the utility maximization principle when taking action. One reason for this is the desire to keep models mathematically tractable: no tools are available to economists for solving non-linear models of heterogeneous adaptive agents without explicit optimization. In contrast, multi-agent models, which originated from statistical physics considerations, allow us to go beyond the prototype theories of traditional economics involving the representative agent. This book is based on the Econophys-Kolkata VII Workshop, at which many such modelling efforts were presented. In the book, leading researchers in their fields report on their latest work, consider recent developments and review the contemporary literature.


Additional text

From the book reviews:
“The book is loosely divided into three sections. … At their best, econophysics papers provide new insights into social science problems and new modeling technologies. … I do think that agent-based modelers, particularly those who deal with others in the natural sciences from time to time, may find it a useful update on where this field is and where it is going. It does have something to say to those of us in this community.” (Blake LeBaron, Journal of Economic Literature, Vol. 52 (3), September, 2014)

Report

From the book reviews:
"The book is loosely divided into three sections. ... At their best, econophysics papers provide new insights into social science problems and new modeling technologies. ... I do think that agent-based modelers, particularly those who deal with others in the natural sciences from time to time, may find it a useful update on where this field is and where it is going. It does have something to say to those of us in this community." (Blake LeBaron, Journal of Economic Literature, Vol. 52 (3), September, 2014)

Customer reviews

No reviews have been written for this item yet. Write the first review and be helpful to other users when they decide on a purchase.

Write a review

Thumbs up or thumbs down? Write your own review.

For messages to CeDe.ch please use the contact form.

The input fields marked * are obligatory

By submitting this form you agree to our data privacy statement.