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Agent-based modeling is one of the popular tools for analyzing complex socio-technical systems. Because of the complex nature of such systems a systematic methodology is required to guide the modeling process. By studying the existing methodologies in MAS we distinguished four major differences between MAS and ABM regarding goals, system scale and diversity, level of system understanding and verification...
A framework has been developed that enables actors to understand and shape industry-infrastructure system-of-systems in seaport regions. The framework connects knowledge engineering with the simulation of system-of-systems evolution. It consists of a system decomposition method using ontologies, a modular agent based model and a knowledge feedback process. The framework was developed and used in a...
Around the world, Regional Development Authorities (RDA's) have the responsibility for sustainable regional industry-infrastructure network development. The structure, content and behaviour of these large scale socio-technical systems or lambda-systems, however, emerge from the operational, tactical and strategic decisions by a variety of other stakeholders over which the RDA has no control. A generic...
A generic multi-agent model of a process industry is presented. The model is based on the system decomposition of a chemical process industry sector. The resulting system description was translated to a suitable analogy: a production chain for chocolate bars. Using this analogy a game has been developed and played to elucidate and explain complexities and interdependencies in the corresponding industrial...
A new approach for the understanding and shaping of the evolution of large scale socio-technical systems is presented. A proof-of-concept knowledge application has been developed, based on the industrial Rotterdam-Rijnmond case. The knowledge application includes the design of a model of industry-infrastructure evolution. Such networks are modeled via a system decomposition, formalization in an ontology...
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