Date of Award

2013

Publication Type

Master Thesis

Degree Name

M.Sc.

Department

Computer Science

First Advisor

Ziad Kobti

Keywords

Computer science, division of labor model

Rights

info:eu-repo/semantics/openAccess

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Abstract

Two models of division of labor or specialization, in two different systems are proposed in the thesis. The domain of the first one is the artificial society where as the second is concerned with the industrial cluster. There are several models for the emergence of increase in division of labor in agent societies. Two such models are the Genetic Threshold Model (GTM) and the Social Inhibition Model (SIM). Combining these two concepts, we propose a hybrid model for the emergence of division of labor as a function of demand varying continuously over a suitably chosen smooth curve. In the second model, we introduce a new concept of positive social response in modeling adaptive behavior of industry cluster and a new formulation for work load of an organization for a single task at a time in the cluster.

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