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Go*Team: A New Approach To Developing A Knowledge Sharing Culture, L. Warne, Helen M. Hasan, D. Hart
Go*Team: A New Approach To Developing A Knowledge Sharing Culture, L. Warne, Helen M. Hasan, D. Hart
Faculty of Commerce - Papers (Archive)
In the ideal organisational environment, the voluntary transfer of information and knowledge would be the norm, and this understanding would underpin ongoing collective sense-making, leading to appropriate and creative actions for organizational outcomes. Workplaces are full of learning opportunities and in work life, socially based learning is occurring all the time. This paper describes Go*Team, a micro world simulation, for helping enculture the importance of collaborative processes that are at the heart of a knowledge sharing culture. The design of Go*Team and ways of playing the game are discussed, as are ways that Go*Team can be applied in order to …
Simulation Framework As A Multi-User Environment For A Go*Team Game, J. Jagiello, M. Eronen, N. Tay, D. Hart, L. Warne, Helen M. Hasan
Simulation Framework As A Multi-User Environment For A Go*Team Game, J. Jagiello, M. Eronen, N. Tay, D. Hart, L. Warne, Helen M. Hasan
Faculty of Commerce - Papers (Archive)
This paper describes the design and implementation of a computerized team version of the ancient strategy game of Go. The game is called Go*Team, and forms part of a research effort investigating how people and groups coordinate, cooperate and share information, especially in a military network-centric environment. Of particular interest in the research are human or group related factors that may impede or even prevent the successful achievement of such coordination, cooperation and information sharing despite the availability or presence of the technological capability to support it. Accordingly, Go*Team is designed to embed its players in an environment that involves …
Network Measures And Simulation For Knowledge Intensive Work Performance, Kon Shing Kenneth Chung, Liaquat Hossain, Joseph Davis
Network Measures And Simulation For Knowledge Intensive Work Performance, Kon Shing Kenneth Chung, Liaquat Hossain, Joseph Davis
Faculty of Engineering and Information Sciences - Papers: Part A
We describe the process of designing a reliable and valid instrument for collecting network and attribute data. Here, we explore the relationship between social networks structure, information and communication technologies (ICT) use and attitude towards performance in knowledge intensive work. We first develop a model for exploring the inherent relationship between the three concepts based on existing literature. We then develop appropriate item sets for measuring different independent (network structure, ICT use) and dependent variables (performance). We use the reliable item sets along with justifications to construct different phases of our instrument. In doing so, we introduce a simulation approach …
Geant4 Simulation For Lhc Radiation Monitoring, M Glaser, S Guatelli, B Mascialino, M Moll, M G. Pia, F Ravotti
Geant4 Simulation For Lhc Radiation Monitoring, M Glaser, S Guatelli, B Mascialino, M Moll, M G. Pia, F Ravotti
Faculty of Engineering and Information Sciences - Papers: Part A
Monitoring radiation background is a crucial task for the operation of LHC experiments. A project is in progress at CERN for the optimisation of the radiation monitors for LHC experiments. A simulation system based on Geant4, designed to assist the engineering optimisation of LHC radiation monitor detectors, is presented. Various detector packaging configurations are studied through their Geant4-based simulation, and their behaviour is compared.
Geant4 Simulation In A Distributed Computing Environment, Susanna Guatelli, Alfonso Mantero, Patricia Mendez Lorenzo, Jakub Moscicki, Maria Grazia Pia
Geant4 Simulation In A Distributed Computing Environment, Susanna Guatelli, Alfonso Mantero, Patricia Mendez Lorenzo, Jakub Moscicki, Maria Grazia Pia
Faculty of Engineering and Information Sciences - Papers: Part A
A general system to perform a Geant4-based simulation in a distributed computing environment is presented. The architecture developed makes the system transparent to sequential or parallel execution and to the environment where the simulation is run: a single machine, a local cluster or a geographically distributed grid.