1
عمومی::
شبکه نوآوری
In chapter 13, Petra Ahrweiler, Andreas Pyka, and Nigel Gilbert present an agent-based innovation policy model (SKIN) developed by a team of scientists that has made a number of unique contributions simulating the effects and impacts of policy-making on the structure, composition, and outputs of research and innovation networks.
Using real- world datasets and carefully analyzing questions put forward by stakeholders, SKIN can provide precise, detailed information on the effects of specific policy instruments, on how research and innovation networks operate, and how to understand and manage the relationship between research funding and policy goals.
Simulating Knowledge Dynamics in Innovation Networks (SKIN) is a multi-agent-based model used to understand innovation policy initiatives that contain heterogeneous agents that act and interact in a large- scale, complex, and changing social environment.
It is the cumulative result of a number of projects carried out over a 12-year period that combined empirical research in innovation networks with agent- based simulation.
The work began with the European Union (EU) project, Simulating Self- organising Innovation Networks (SEIN).
واژگان شبکه مترجمین ایران