![]() ![]() This course introduces a popular freely available software tool, Netlogo, which is accessible to those with no initial programming experience, and shows how to use it to develop a variety of simple models so that students would be able to see how it might apply to their own research. These types of models have been used in fields as diverse as Architecture, Archaeology, Criminology, Economics, Epidemiology, Geography, and Sociology, covering all kinds of topics including social networks and formation of social norms, spatial distribution of criminal activity, spread of disease, issues in health and welfare, warfare and disasters, behaviour in stock-markets, land-use change, farming,forestry, fisheries, traffic flow, planning and development of cities, flooding and water management. They use computational methods to represent individual people, households, organisations, or other types of agent, and help to make explicit the potential consequences of hypotheses about the way people act, interact and engage with their environment. Agent-based models are exploratory tools for trying to understand some of this complexity. Audience Researchers Investigators Analysts Overview NetLogo is one of the most famous and powerful simulation environments for agent-based modeling. Societies can be viewed as path-dependent dynamical systems in which the interactions between multiple heterogeneous actors, and the institutions and organisations they create, lead to complex overlapping patterns of change over different space and time-scales. Course Code netlogo Duration 21 hours (usually 3 days including breaks) Requirements No programming experience required. University Information Services - Staff Learning & Development.University Information Services - Digital Literacy Skills.Social Sciences Research Methods Programme.Schools of Physical Sciences & Technology.Schools of Arts, Humanities & Social Sciences.PPD Personal and Professional Development.Office of Student Conduct, Complaints and Appeals.Judge Business School Entrepreneurship Centre.Institute of Continuing Education Staff Learning & Development.Engineering Centre for Languages & Inter-Communication.Development and Alumni Relations - Staff Learning & Development.Department of Physics - Health & Safety.Cambridge University Library Staff Learning & Development.Cambridge Centre for Teaching and Learning.This work was funded by a NERC Postgraduate and Professional Skills Development Award.- Select training provider - ( Social Sciences Research Methods Programme ) Command line operation is also supported. Models and HubNet activities can be run as Java applets in a web browser. NetLogo runs on the Java virtual machine, so it works on all major platforms ( Mac, Windows, Linux, et al). NetLogo is the next generation of the series of multi-agent modelling languages including StarLogo and StarLogoT. ![]() Several model-based inquiry curricula using NetLogo are available and more are under development. These simulations address content areas in the natural and social sciences including biology and medicine, physics and chemistry, mathematics and computer science, and economics and social psychology. It also comes with the Models Library, a large collection of pre-written simulations that can be used and modified. NetLogo has extensive documentation and tutorials. This makes it possible to explore the connection between the micro-level behavior of individuals and the macro-level patterns that emerge from their interaction. Modellers can give instructions to hundreds or thousands of “ agents” all operating independently. NetLogo is particularly well suited for modelling complex systems developing over time. It was authored by Uri Wilensky in 1999 and has been in continuous development ever since at the Center for Connected Learning and Computer-Based Modeling. NetLogo is a programmable modelling environment for simulating natural and social phenomena. 11.3) NetLogo Features And Other Resources.6.1) Purpose, Entities, State Variables And Scales.5.6) Conceptualizing Agent Based Models (cont'd).5.5) Conceptualizing Agent Based Models.5.3) Purpose, Entities, State Variables And Scales.3.2) Declaration Of Variables, Agents And Collectives.2.2) Implementation Of Agent Based Models (cont'd).2.1) Implementation Of Agent Based Models.1.7) Applicability Of Agent Based Modelling (cont'd).1.6) Applicability Of Agent Based Modelling.1.4) Introductory Readings To Agent Based Modelling.1.2) Schooling And Flocking: Recent Developments.1.1) Schooling And Flocking: A Classic Example.
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