The model was build with the support of Netlogo software (2015). process of creation and dissemination of knowledge in a public company for the provision of information and communication technology services, during the time devoted to software development projects. The investigative nature of the research sought to identify and understand the role played by informal social networks in the. This paper describes the development of a computational model based on agents, to portray the dynamics of the creation and dissemination of organizational knowledge process, aiming to explore new ideas about this process in a development environment for software projects. Our findings also illustrate how computer-based modeling activities can help us expand the scope of Piagetian research.
Our findings show that Piaget and Inhelder's theory has some explanatory value on adults' intuitive reactions to unexpected outcomes.
Netlogo list generator#
We create a miracle for adults through secretly modifying the source code of the NetLogo agent-based modeling environment, in which the interviewees create their models, and make its random number generator slightly biased. adults by asking some initial questions with physical coins and then asking them to write a simple computer-based model that flips millions of virtual coins.
We reproduce a classical Piagetian experiment using computer-based modeling to test if we can replicate Piaget and Inhelder's findings on the idea of "chance as the negotiation of miracle" beyond early childhood. Read moreīeing able to recognize the impossibility or the very weak probability of an outcome, such as winning the lottery, is an important challenge in probabilistic reasoning. food undergoing digestion, through a pig’s intestine as a means of understanding the effect of dietary fibre on human health. Additionally, we report on the use of the approach on a real project studying the movement of chyme, i.e. In this paper, we describe a translation scheme for producing code for the widely used agent-based simulation environment NetLogo from Z specifications. Utilising a formal notation such as Z which is easy to learn, read, understand and remember can address these issues by (a) acting as a means to unambiguously communicate between scientists and simulation developers, and (b) providing a basis for systematically producing and maintaining simulation code that meets the specification. Another challenge for the developers is to ensure that the resultant software satisfies all. This results from the difference in their backgrounds and terminologies. One is the difficulty in ensuring clear communication between the scientists, who are the end-users of the model, and the model developers. There are two main challenges in developing computational models of a real-world phenomena.
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