<--- Back to Details
First PageDocument Content
Heterodox economics / Knowledge / Economic theories / Mathematical economics / Computational economics / Econophysics / Complexity economics / J. Barkley Rosser /  Jr. / Agent-based computational economics / Economics / Science / Complex systems theory
Date: 2009-10-15 18:34:40
Heterodox economics
Knowledge
Economic theories
Mathematical economics
Computational economics
Econophysics
Complexity economics
J. Barkley Rosser
Jr.
Agent-based computational economics
Economics
Science
Complex systems theory

Add to Reading List

Source URL: cob.jmu.edu

Download Document from Source Website

File Size: 111,00 KB

Share Document on Facebook

Similar Documents

Complexity and the Economics of Climate Change: a Survey and a Look Forward T. Balinta , F. Lampertib , A. Mandela , M. Napoletanob,c , A. Roventinib,c , A. Sapiod b Institute a Universit´

DocID: 1uz8J - View Document

Extensive Form Correlated Equilibrium: Definition and Computational Complexity Bernhard von Stengel Department of Mathematics, London School of Economics, Houghton St, London WC2A 2AE, United Kingdom email: stengel@maths

DocID: 1uuK2 - View Document

Complexity: The Connection Between Fossil Fuel EROI, Human Energy EROI, and Debt Gail Tverberg – June 27, 2016 – Biophysical Economics Outline } 

DocID: 1tkFI - View Document

Machine learning / Mathematical analysis / Sample complexity / Mathematics / Analysis / Quasisymmetric map / Dirac delta function

Valid Generalisation from Approximate Interpolation Martin Anthony∗ Department of Mathematics The London School of Economics and Political Science Houghton Street, London WC2A 2AE, United Kingdom

DocID: 1rd1i - View Document

Biology / Natural environment / Systems ecology / Habitat / Ecology / Ecological restoration / Conservation biology / Ecosystem services / Ecosystem / Biodiversity / Ecological economics / Ecological succession

Tools for ModelING and predictiNG Biodiversity Models and scenarios are essential to understand the complexity and intricacies of biodiversity. This knowledge is required to support the management and decision-making of

DocID: 1qSTM - View Document