Title:
Analysis of transformations to socio-technical systems using agent based modeling and simulation

dc.contributor.advisor Pritchett, Amy R.
dc.contributor.author Shah, Anuj P.
dc.contributor.committeeMember Goel, Ashok
dc.contributor.committeeMember Goldsman, David
dc.contributor.committeeMember Corker, Kevin
dc.contributor.committeeMember Rouse, William B.
dc.contributor.department Industrial and Systems Engineering
dc.date.accessioned 2009-07-31T18:14:31Z
dc.date.available 2009-07-31T18:14:31Z
dc.date.issued 2006-02-24
dc.description.abstract Transformations to socio-technical systems may be enacted at fairly low levels, i.e., through changes in technology, processes, information and workers, to obtain a change in system level performance. This thesis provides a conceptual framework and a simulation platform to a priori computationally analyze the impact of such transformations. This thesis builds on the principles of cognitive engineering to describe the components of the work environment, i.e., technology, processes and information, in work relevant ways and using a structure-preserving model, i.e., a model form that describes the models using the same attributes and structure as used by system designers. This thesis also builds on the principles of agent-based modeling to model workers and their interactions with the work environment. These models are specified through a conceptual framework that includes declarative models describing which components are included within the system and their interrelations, and object-oriented models of those complex, dynamic behaviors that cannot be adequately described declaratively. Declarative modeling enables easy composition and modification of component models and, by declaring all required components collectively, a system model. This thesis established an XML representation for the declarative models, and developed a mechanism that automatically assembles, from the individual components' specifications and interrelations, a network-level model of the entire system in XML, which can serve to analyze network dependencies between components. The combination of the declarative and object-oriented models also enables computational simulations to predict the system performance that will emerge from a network of components when placed in a given scenario. Thus, this thesis also developed an agent-based simulation platform to support analysis of emergent behavior. The theoretical contributions of this thesis include the conceptual framework as a broadly applicable and structure-preserving representation of the important aspects of socio-technical system behavior, and associated extensions to cognitive engineering descriptions of the work environment. These insights, combined with the simulation platform, also enable computational modeling, analysis and prediction of socio-technical system performance with a comprehensiveness and detail not possible before. The theoretical and practical utility of these developments is demonstrated through a case study in air traffic control. en
dc.description.degree Ph.D.
dc.identifier.uri http://hdl.handle.net/1853/29399
dc.language.iso en_US en
dc.publisher Georgia Institute of Technology en
dc.subject Work environment en
dc.subject Operational analysis en
dc.subject Network analysis en
dc.subject Ecological methods en
dc.subject Environment centered design en
dc.subject Design-driven architecture en
dc.subject Cognitive engineering en
dc.subject Design analysis en
dc.subject.lcsh User-centered system design
dc.subject.lcsh Work environment
dc.subject.lcsh Technological innovations
dc.subject.lcsh Computer simulation
dc.subject.lcsh Operations research
dc.title Analysis of transformations to socio-technical systems using agent based modeling and simulation en
dc.type Text
dc.type.genre Dissertation
dspace.entity.type Publication
local.contributor.corporatename H. Milton Stewart School of Industrial and Systems Engineering
local.contributor.corporatename College of Engineering
relation.isOrgUnitOfPublication 29ad75f0-242d-49a7-9b3d-0ac88893323c
relation.isOrgUnitOfPublication 7c022d60-21d5-497c-b552-95e489a06569
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