Advanced self-organisation of social systems

Faculteit Science and Engineering
Jaar 2019/20
Vakcode MLBI0801
Vaknaam Advanced self-organisation of social systems
Niveau(s) master
Voertaal Engels
Periode semester II b (04-05-2020 till 04-07-2020)
ECTS 5
Rooster rooster.rug.nl

Uitgebreide vaknaam Advanced self-organisation of social systems
Leerdoelen At the end of the course, the student is able to:
1) explain social systems in terms of emergence and selforganisation
2) develop his/her own hypotheses in terms of emergence and selforganisation for new systems
3) critically review primary literature from the perspective of selforganisation.
4) independently translate hypotheses in modeling experiments
5) statistically analyze results of these models with appropriate statistical tests and/or graphical representations
6) independently use Netlogo,
7) structure the content logically
8) use concise and correct language
9) present graphs, figures, slides, etcetera that are correct, complete and informative
Omschrijving Processes of selforganisation occur at all levels of a system. For instance, in a group of individuals they take place at the level of
the cognition of the individual, of its behaviour and of the behaviour of the group. Selforganisation implies that cognitively simple
rules at the level of the individual (the so-called micro-level) may lead to complex behaviour at a higher level (the macro-level). The
emergence of patterns in a computer model often leads to unexpected new insights. Note that, the other way around, by observing
the complex behaviour at a higher level, it is impossible to discover the behavioural rules that operate at a lower level. In this
course models of selforganisation of the social phenomena will be treated, such as: swarming by fish and birds, with and without
attacks by predators; grouping and foraging behaviour by social insects and primates; nest building by insects, task division in insects; social learning and behaviour of fish and corvids; social structure (despotic and egalitarian), and cultural transmission in primates and humans.
Individual-based models will be discussed and taught.
The practical work closely follows the contents of the daily lectures. Students will use Excel-spreadsheets and the program Netlogo.
In the last part of the course, students work on a modeling project of their own or in pairs. They can work out their own ideas or choose from the projects that are offered. The work is to be rounded off with a presentation.
Uren per week
Onderwijsvorm Hoorcollege (LC), Practisch werk (PRC), Werkcollege (T)
(For details see under "remarks"/"opmerkingen")
Toetsvorm Mondeling tentamen (OR), Opdracht (AST), Presentatie (P)
(See REMARKS for more information about the assessment.)
Vaksoort master
Coördinator prof. dr. C.K. Hemelrijk
Docent(en) prof. dr. C.K. Hemelrijk ,dr. G.S. van Doorn
Verplichte literatuur
Titel Auteur ISBN Prijs
Literature is available via Nestor.
Entreevoorwaarden This course can be followed as a sequel to the bachelor course “ Selforganization of ecological and social systems”. The course is also meant for students from other fields, e.g. those of artificial intelligence and sociology
Opmerkingen Capacity: maximal 40 students
Study load: 140 hours
Toetsvorm:
Marking takes account of the combination of the questions (20%), literature presentation (30%), exercises (for rounding the grades,max 1 day missing ) and the final project (50%)
Opgenomen in
Opleiding Jaar Periode Type
MSc Artificial Intelligence  (C - Elective Course Units) - semester II b keuze
MSc Behavioural and Cognitive Neurosciences: Behavioural Neurosciences  (Electives: courses from other programmes) 2 semester II b keuze
MSc Behavioural and Cognitive Neurosciences: Cognitive Neuroscience & Modelling  (Electives: courses from other programmes) 2 semester II b keuze
MSc Behavioural and Cognitive Neurosciences: Molecular & Clinical Neurosciences  (Electives: courses from other programmes) 2 semester II b keuze
MSc Biology: Modelling in the Life Sciences  (Electives/Optional modules) - semester II b keuze
MSc Biology: Research  (Compulsory master courses) - semester II b keuze
MSc Biology: Science, Business and Policy  (Compulsory master courses) - semester II b keuze
MSc Biomolecular Sciences  (Electives/Optional modules) - semester II b keuze
MSc Computing Science: Data Science and Systems Complexity  (Guided choice course units) - semester II b keuze
MSc Computing Science: Intelligent Systems and Visual Computing  (Guided choice course units) - semester II b keuze
MSc Courses for Exchange Students: Biology & Life Sciences - semester II b verplicht
MSc Ecology and Evolution: Ecology and Conservation  (Electives/optional modules) - semester II b keuze
MSc Ecology and Evolution: Evolutionary Biology  (Electives/optional modules) - semester II b keuze
MSc Human-Machine Communication  (C - Elective Course Units) - semester II b keuze
MSc Marine Biology: Research  (Compulsory master courses) - semester II b keuze