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Innovation Ecosystem & Modeling

A novel approach for modeling innovation-based economic growth using computational agents and adaptive resource transformers.

Transformation network formed between trading Adaptive Resource Transfomers

Adaptive Resource Transformers Trade with one another exchanging money for resources. The resulting network of trade partners is known as a Transformation Network

Agent-based computational economics (ACE) has increased in popularity over the past few years as a tool to both understand and explain complex economic phenomenon. Econosim is a novel ACE model being developed at CASLab at the University of Central Florida. It differs from many existing ACE models by removing the distinction between firms and households. Instead, EconoSim allows these dynamics to emerge through a population of generic trading agents referred to as Adaptive Research Transformers.

In Econosim, every economic agent is both a consumer and a producer. This decision results in production and trade becoming the core economic behaviors of every economic agent. In addition, we explicitly represent production knowledge as a set of resource transformation rules that are subject to evolutionary forces. This representation allows population dynamics to alter the technological landscape of the economy and provides a straightforward method of exploring innovation and knowledge driven economic growth.  Each agent in our model, called an adaptive resource transformer (ART), lives within an economic ecosystem where individuals are connected by social networks and the actions of an agent can have unintended consequences beyond its nearest neighbors. Econosim is intended to serve as a computational economics laboratory that can be used to verify and explore existing economic ideas and theories, and help inspire and create new ones.  It is also intended to serve as a tool for exploring the impact of economic policy by allowing modelers to view the potential consequences of their decisions in silico, before they are enacted in the real world. The current model is written in Java, using the MASON toolkit. It is being employed to explore the benefits of entrepreneurial support organizations, such as university incubators, and examine the structure and influence of economic networks.

Related Publications:

40 "Role of Entrepreneurial Support for Networking in Innovation Ecosystems: An Agent Based Approach”. [PDF]
Authors: Mustafa Ilhan Akbas, Chathika Gunaratne, Ozlem Ozmen Garibay, Ivan Garibay and Thomas O'Neal
Winter Simulation Conference (WSC), December, 2015.
39 "An Agent Based Approach to Study Incubation in Innovation Ecosystems”.[PDF]
Authors: Ivan Garibay, Mustafa Ilhan Akbas, Chathika Gunaratne, Ozlem Ozmen Garibay and Thomas O'Neal
In the Conference of the Computational Social Science Society of the Americas (CSSSA), October, 2015.
38 "Professional Network Value in Business Incubator Models”. [PDF]
Authors: Mustafa Ilhan Akbas, Ozlem Ozmen Garibay and Ivan Garibay
In the Conference of the European Social Simulation Association (ESSA), September, 2015.
36 Regional Dynamics of Innovation and Entrepreneurship in the Optics and Photonics Industry.[PDF]
Authors: Mustafa Ilhan Akbas, Ozlem Ozmen Garibay and Ivan Garibay
International Conference on Innovation and Entrepreneurship, Istanbul, Turkey, July, 2015.
35 An Initial Agent Based Model for Innovation Ecosystems [PDF]
Authors: Mustafa Ilhan Akbas and Ivan Garibay
Presentation abstract for the Swarmfest Workshop, University of Notre Dame, IN USA, June 29 - July 1, 2014.
33 A Preliminary Agent-Based Study on the Regional Impact of Business Incubation [PDF]
Authors: Ivan Garibay, Christopher D. Hollander, Thomas O’Neal.
Extended Abstract to The Conference of the European Social Simulation Association (ESSA). Warsaw School of Economics, Warsaw, Poland. September 16-20, 2013.
32 Towards Modeling Economic Ecosystems: an Initial Model and Preliminary Validation [PDF]
Authors: Ivan Garibay, Christopher D. Hollander, Ozlem Ozmen Garibay, and Thomas O'Neal.
Presentation at The Computational Social Science Society of the Americas Conference.
Santa Fe, New Mexico, August 22-25, 2013.
28 Towards studying the impact of business incubation on regional economic performance: a high-level overview and preliminary experiment. [PDF]
Authors: Ivan Garibay, Christopher D. Hollander, Fahad Khan, Thomas O’Neal, Damla Turgut, Ozlem Ozmen Garibay Garibay.
Poster contribution to The Workshop on Economic Science with Heterogeneous Interacting Agents (WEHIA). Reykjavik University, Iceland June 20-22, 2013.
26 A Comparative Simulation Study on the Benefits of Entrepreneurial Support Organization Membership. [PDF]
Authors: Ivan Garibay, Christopher D. Hollander, Vernet Lasrado, Cameron Ford, Stephen Sivo, Thomas O’Neal.
Presentation at the Technology Transfer Society Conference. New York Academy of Sciences, New York, April 19-20, 2013.
21 Transformation Networks: A study of how technological complexity impacts economic performance. [PDF]
Authors: Christopher D. Hollander, Ivan Garibay, Thomas O’Neal.
Artificial Economics Conference, Castellon, Spain September 6-7, 2012. [BibTeX entry]
[Book Link]
20 Yet Another Approach to Modeling Economic Phenomenon. Abstract [PDF]
Authors: Ivan Garibay, Christopher D. Hollander, Ozlem Ozmen Garibay, Amit Goel.
Swarmfest Conference, Charlotte, NC, July 29-31, 2012.

 

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UCF Complex Adaptive Systems Laboratory
12201 Research Parkway, Suite 501
Orlando, FL 32826-3246
Phone: 407.823.1837
Ivan Garibay, Director