Literature DB >> 12020421

Agent-based computational economics: growing economies from the bottom up.

Leigh Tesfatsion1.   

Abstract

Agent-based computational economics (ACE) is the computational study of economies modeled as evolving systems of autonomous interacting agents. Thus, ACE is a specialization of economics of the basic complex adaptive systems paradigm. This study outlines the main objectives and defining characteristics of the ACE methodology and discusses similarities and distinctions between ACE and artificial life research. Eight ACE research areas are identified, and a number of publications in each area are highlighted for concrete illustration. Open questions and directions for future ACE research are also considered. The study concludes with a discussion of the potential benefits associated with ACE modeling, as well as some potential difficulties.

Mesh:

Year:  2002        PMID: 12020421     DOI: 10.1162/106454602753694765

Source DB:  PubMed          Journal:  Artif Life        ISSN: 1064-5462            Impact factor:   0.667


  10 in total

1.  The emergence of spatial cyberinfrastructure.

Authors:  Dawn J Wright; Shaowen Wang
Journal:  Proc Natl Acad Sci U S A       Date:  2011-04-05       Impact factor: 11.205

2.  In Situ Visualization for 3D Agent-Based Vocal Fold Inflammation and Repair Simulation.

Authors:  Nuttiiya Seekhao; Joseph JaJa; Luc Mongeau; Nicole Y K Li-Jessen
Journal:  Supercomput Front Innov       Date:  2017 Jul-Sep

3.  Factors Influencing Farmers' Adoption of Best Management Practices: A Review and Synthesis.

Authors:  Tingting Liu; Randall J F Bruins; Matthew T Heberling
Journal:  Sustainability       Date:  2018       Impact factor: 3.251

4.  Agent-based model of fecal microbial transplant effect on bile acid metabolism on suppressing Clostridium difficile infection: an example of agent-based modeling of intestinal bacterial infection.

Authors:  Xavier Peer; Gary An
Journal:  J Pharmacokinet Pharmacodyn       Date:  2014-08-29       Impact factor: 2.745

5.  Transfer of conflict and cooperation from experienced games to new games: a connectionist model of learning.

Authors:  Leonidas Spiliopoulos
Journal:  Front Neurosci       Date:  2015-03-31       Impact factor: 4.677

6.  Experimental Evaluation of Suitability of Selected Multi-Criteria Decision-Making Methods for Large-Scale Agent-Based Simulations.

Authors:  Petr Tučník; Vladimír Bureš
Journal:  PLoS One       Date:  2016-11-02       Impact factor: 3.240

7.  Implementation and applications of EMOD, an individual-based multi-disease modeling platform.

Authors:  Anna Bershteyn; Jaline Gerardin; Daniel Bridenbecker; Christopher W Lorton; Jonathan Bloedow; Robert S Baker; Guillaume Chabot-Couture; Ye Chen; Thomas Fischle; Kurt Frey; Jillian S Gauld; Hao Hu; Amanda S Izzo; Daniel J Klein; Dejan Lukacevic; Kevin A McCarthy; Joel C Miller; Andre Lin Ouedraogo; T Alex Perkins; Jeffrey Steinkraus; Quirine A Ten Bosch; Hung-Fu Ting; Svetlana Titova; Bradley G Wagner; Philip A Welkhoff; Edward A Wenger; Christian N Wiswell
Journal:  Pathog Dis       Date:  2018-07-01       Impact factor: 3.166

8.  Humans and the core partition: An agent-based modeling experiment.

Authors:  Andrew J Collins; Sheida Etemadidavan
Journal:  PLoS One       Date:  2022-09-01       Impact factor: 3.752

9.  Introduction of a Framework for Dynamic Knowledge Representation of the Control Structure of Transplant Immunology: Employing the Power of Abstraction with a Solid Organ Transplant Agent-Based Model.

Authors:  Gary An
Journal:  Front Immunol       Date:  2015-11-06       Impact factor: 7.561

10.  Decision-Making in Agent-Based Models of Migration: State of the Art and Challenges.

Authors:  Anna Klabunde; Frans Willekens
Journal:  Eur J Popul       Date:  2016-02-15
  10 in total

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