Full metadata
Title
Software for Agent-Based Computational Economics
Description
Agent Based modeling has been used in computer science to simulate complex phenomena. The introduction of Agent Based Models into the field of economics (Agent Based Computational Economics ACE) is not new, however work on making model environments simpler to design for individuals without a background in computer science or computer engineering is a constantly evolving topic. The issue is a trade off of how much is handled by the framework and how much control the modeler has, as well as what tools exist to allow the user to develop insights from the behavior of the model. The solutions looked at in this thesis are the construction of a simplified grammar for model construction, the design of an economic based library to assist in ACE modeling, and examples of how to construct interactive models.
Date Created
2016-05
Contributors
- Anderson, Brandon David (Author)
- Bazzi, Rida (Thesis director)
- Kuminoff, Nicolai (Committee member)
- Roberts, Nancy (Committee member)
- Computer Science and Engineering Program (Contributor)
- Economics Program in CLAS (Contributor)
- Barrett, The Honors College (Contributor)
Topical Subject
Resource Type
Extent
45 pages
Language
eng
Copyright Statement
In Copyright
Primary Member of
Series
Academic Year 2015-2016
Handle
https://hdl.handle.net/2286/R.I.38011
Level of coding
minimal
Cataloging Standards
System Created
- 2017-10-30 02:50:58
System Modified
- 2021-08-11 04:09:57
- 3 years 2 months ago
Additional Formats