Difference between revisions of "CS382:Unit-compsoc"
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* [http://www.swarthmore.edu/SocSci/tburke1/artsoc.html Artificial Societies, Virtual Worlds and the Shared Problems and Possibilities of Emergence] | * [http://www.swarthmore.edu/SocSci/tburke1/artsoc.html Artificial Societies, Virtual Worlds and the Shared Problems and Possibilities of Emergence] | ||
* [http://jasss.soc.surrey.ac.uk/JASSS.html Journal of Artificial Societies and Social Simulation] | * [http://jasss.soc.surrey.ac.uk/JASSS.html Journal of Artificial Societies and Social Simulation] | ||
| + | * [http://portal.acm.org/citation.cfm?id=261181 Growing Artificial Societies: Social Science From the Bottom Up] (book citation) | ||
| + | Big Idea: | ||
| + | you can model societies using Agents. Demonstrate that models of large sociological concepts (information flow, fashion, popularity) can be arrived at by modeling local agent interaction. Models first -> formulas second instead of other way around. Artificial Societies map into virtual worlds; map into real world; validate/verify can be done locally. Agent based modeling is not just SS, so learning ABM is inroad to other disciplines. | ||
| − | Big | + | Big topics: |
| − | + | * Economics | |
| + | * Information | ||
| + | * Politics | ||
| + | |||
| + | (tangential thought: should our units be different modeling strategies/technologies (numbers/formulas with octave/matlab, agent-based, (non)graphical) with disciplines in each one?) | ||
Revision as of 16:55, 27 January 2009
Socioeconomic modelling. what happens with changes in legislation eg taxes, min wage. model of population behavior. (agent)
- Computational Sociology (wikipedia)
- brian castellani sociology and complexity web
- Center for Models of Life - CMOL: Models / Interactive Java Applets
- The Structural Dynamics of Corruption: Artificial Society Approach
- Macro And Micro Dynamics In An Artificial Society: An Agent Based Approach
- Artificial Societies, Virtual Worlds and the Shared Problems and Possibilities of Emergence
- Journal of Artificial Societies and Social Simulation
- Growing Artificial Societies: Social Science From the Bottom Up (book citation)
Big Idea: you can model societies using Agents. Demonstrate that models of large sociological concepts (information flow, fashion, popularity) can be arrived at by modeling local agent interaction. Models first -> formulas second instead of other way around. Artificial Societies map into virtual worlds; map into real world; validate/verify can be done locally. Agent based modeling is not just SS, so learning ABM is inroad to other disciplines.
Big topics:
- Economics
- Information
- Politics
(tangential thought: should our units be different modeling strategies/technologies (numbers/formulas with octave/matlab, agent-based, (non)graphical) with disciplines in each one?)
Pros:
- Token non-natural science unit, get non-natural sciences students involved
- Touch an emerging field, we can tell people there's a lot to be discovered yet here
- Talk about agent-based modeling
Cons:
- Less numerically-based
- We need to be careful about not stepping on social science's toes
Comments:
- Need to decide on a particular area to go forward with
- Economics is currently very mathematically-based, could do something along these lines
- Could also do something on a smaller scale in class, see a hands on social interaction or how played out
