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Tutorials on agent-based modelling with NetLogo and network analysis with Pajek

Chapter


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Abstract


  • Complex adaptive systems typically contain multiple, heterogeneous

    agents, with non-trivial interactions. They tend to produce emergent

    (larger-scale) phenomena. Agent-based modelling allows one to read-

    ily capture the behaviour of a group of heterogeneous agents (such as

    people, animals, et cetera), with diverse behaviour and important in-

    teractions, so it is a natural t to modelling complex systems. Many

    complex systems (and agent-based models thereof) can be thought of

    as containing networks, either explicitly or implicitly. Therefore for

    complex systems research it is important to have a good understand-

    ing of network analysis techniques. This chapter is aimed at beginners

    to complex systems modelling and network analysis, using NetLogo (Sec-

    tion 1.1) and Pajek (Section 1.2) respectively. It is also aimed at more

    advanced complex systems modellers who want an introduction to these

    platforms.

Publication Date


  • 2010

Citation


  • Berryman, M. J. & Angus, S. D. (2010). Tutorials on agent-based modelling with NetLogo and network analysis with Pajek. In R. L. Dewar & F. Detering (Eds.), Complex Physical, Biophysical and Econophysical Systems: Proceedings of the 22nd Canberra International Physics Summer School (pp. 351-375). USA: World Scientific Publishing.

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=1037&context=smartpapers

Ro Metadata Url


  • http://ro.uow.edu.au/smartpapers/32

Book Title


  • Complex Physical, Biophysical and Econophysical Systems: Proceedings of the 22nd Canberra International Physics Summer School

Start Page


  • 351

End Page


  • 375

Abstract


  • Complex adaptive systems typically contain multiple, heterogeneous

    agents, with non-trivial interactions. They tend to produce emergent

    (larger-scale) phenomena. Agent-based modelling allows one to read-

    ily capture the behaviour of a group of heterogeneous agents (such as

    people, animals, et cetera), with diverse behaviour and important in-

    teractions, so it is a natural t to modelling complex systems. Many

    complex systems (and agent-based models thereof) can be thought of

    as containing networks, either explicitly or implicitly. Therefore for

    complex systems research it is important to have a good understand-

    ing of network analysis techniques. This chapter is aimed at beginners

    to complex systems modelling and network analysis, using NetLogo (Sec-

    tion 1.1) and Pajek (Section 1.2) respectively. It is also aimed at more

    advanced complex systems modellers who want an introduction to these

    platforms.

Publication Date


  • 2010

Citation


  • Berryman, M. J. & Angus, S. D. (2010). Tutorials on agent-based modelling with NetLogo and network analysis with Pajek. In R. L. Dewar & F. Detering (Eds.), Complex Physical, Biophysical and Econophysical Systems: Proceedings of the 22nd Canberra International Physics Summer School (pp. 351-375). USA: World Scientific Publishing.

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=1037&context=smartpapers

Ro Metadata Url


  • http://ro.uow.edu.au/smartpapers/32

Book Title


  • Complex Physical, Biophysical and Econophysical Systems: Proceedings of the 22nd Canberra International Physics Summer School

Start Page


  • 351

End Page


  • 375