no HWs

- - -

why a so deep analysis of the structure of Swarm/SLAPP ?

- - -

Pizza, confirmations

- - -

Evaluation (if, when: Jan. 10th).

- - -

Learning Python, tons of links but something special at:

https://runestone.academy/runestone/default/user/login?_next=/runestone/default/index

http://www.pythontutor.com

https://lectures.quantecon.org

(about Julia: https://www.juliabox.com and https://next.juliabox.com/ coming)


a note on try/except in Python folder


- - -

SLAPP as a simulation shell, online (and locally in folder 6 with start.py or runShell.py and iRunShell.py in the main folder)

agent definitions

actions at the level of the observer and of the model, plus the script in a spreadsheet + adding a new method

an example of ‘making of’ a big agent-based model: https://terna.github.io/oligopoly/

a close look to the basic example, schedule and Agent.py


- - -

Era scheme at http://terna.to.it/ct-era/ct-era.html

- - -


NetLogo extensions:

look at rserve http://rserve-ext.sourceforge.net


Look at a NetLogo application chameleons at 

http://terna.to.it/chameleons/chameleons.html

see also for BDI

http://users.uom.gr/~iliass/projects/NetLogo/

NetLogo from Python
https://github.com/quaquel/pyNetLogo

- - -

Scratch
https://scratch.mit.edu


StarLogo TNG
http://education.mit.edu/portfolio_page/starlogo-tng/


have a look to 

https://repast.github.io

http://cs.gmu.edu/~eclab/projects/mason/

https://github.com/gama-platform

http://www.anylogic.com with https://cloud.anylogic.com/#/

https://pypi.python.org/pypi/Mesa/


- - - 

Cheat sheets

http://www.datasciencefree.com/cheatsheets.html


- - -

To finish, look at the conclusion of the paper (here) of Arciero, Picillo, Solomon, Terna. This chapter is in Diana F. Adamatti, Gracaliz P. Dimuro and Helder Coelho (eds.), 2014, Interdisciplinary Applications of Agent-Based Social Simulation and Modeling, IGI Global, Hershey, PA.

- - -
 

ABMs: calibration or reasoning machines or both?

- - -

See you soon: MaDas__syllabus_Terna_Complex_Networks2017-18.pdf here