Re: [FRIAM] Nature: Ball reviews Miller, Page, and Epstein
Right, generative social science, a.k.a. made up stuff... FRIAM Applied Complexity Group listserv Meets Fridays 9a-11:30 at cafe at St. John's College lectures, archives, unsubscribe, maps at http://www.friam.org
Re: [FRIAM] Nature: Ball reviews Miller, Page, and Epstein
Could you pass on the text? The article apparently requires a subscription. -- Owen On Aug 9, 2007, at 9:45 AM, Roger Critchlow wrote: Social science goes virtual p647 Mathematical models could help us re-engage with reality rather than trying to reinvent it. Philip Ball reviews *Complex Adaptive Systems: An Introduction to Computational Models of Social Life* by John H. Miller Scott E. Page and *Generative Social Science: Studies in Agent Based Computational Modeling* by Joshua M. Epstein http://www.nature.com/nature/journal/v448/n7154/full/448647a.html -- rec -- FRIAM Applied Complexity Group listserv Meets Fridays 9a-11:30 at cafe at St. John's College lectures, archives, unsubscribe, maps at http://www.friam.org FRIAM Applied Complexity Group listserv Meets Fridays 9a-11:30 at cafe at St. John's College lectures, archives, unsubscribe, maps at http://www.friam.org
Re: [FRIAM] Nature: Ball reviews Miller, Page, and Epstein
On 8/9/07, Marcus G. Daniels [EMAIL PROTECTED] wrote: Right, generative social science, a.k.a. made up stuff... Speaking of which, for those in the vicinity of Los Alamos: Thursday, August 9th,2007 4:00 pm - 5:00 pm CNLS Conference Room (TA-3, Bldg 1690) Gang Recruitment and Growth: A Cellular Automata and Directed Graph Approach to the Statistics of Gang Sizes William I. Newman UCLA Cellular automata models can be developed to describe the evolution of emergent dynamical systems that maintain a discrete character, including those with an implicit hierarchical character. Moreover, these models can be related to directed graphs. These methods have found widespread application in condensed matter physics (e.g., diffusion limited aggregation and crystal growth, sandpiles andself-organized criticality) as well as in earth and environmental physics (e.g., models of earthquakes and river networks). In particular, models developed for forest fires are manifestly complex systems that show well-preserved scaling laws relating to the frequency of forest fires relative to their size. In sociological studies of conflict and deadly quarrels, similar statistical scaling laws have been observed, e.g., Richardson, with identical power-law indices. In earlier work, Gabrielov, Newman, and Turcotte (199?) succeeded in deriving from first principles those scaling laws. Here, we show that a simple redefinition of terms makes it possible for the statistics of gangs to be obtained from these other cellular automata models. In particular, by equivalencing the recruitment of gang members in the sociological problem with the planting of trees in the environmental problem, the observed statistics of gang populations and their prevalence can be derived. LANL Host: Mac Hyman, T-7 FRIAM Applied Complexity Group listserv Meets Fridays 9a-11:30 at cafe at St. John's College lectures, archives, unsubscribe, maps at http://www.friam.org
Re: [FRIAM] Nature: Ball reviews Miller, Page, and Epstein
the observed statisticscan be derived. Indeed. Roger Critchlow wrote: On 8/9/07, *Marcus G. Daniels* [EMAIL PROTECTED] mailto:[EMAIL PROTECTED] wrote: Right, generative social science, a.k.a. made up stuff... Speaking of which, for those in the vicinity of Los Alamos: Thursday, August 9th,2007 4:00 pm - 5:00 pm CNLS Conference Room (TA-3, Bldg 1690) Gang Recruitment and Growth: A Cellular Automata and Directed Graph Approach to the Statistics of Gang Sizes William I. Newman UCLA Cellular automata models can be developed to describe the evolution of emergent dynamical systems that maintain a discrete character, including those with an implicit hierarchical character. Moreover, these models can be related to directed graphs. These methods have found widespread application in condensed matter physics (e.g., diffusion limited aggregation and crystal growth, sandpiles andself-organized criticality) as well as in earth and environmental physics (e.g., models of earthquakes and river networks). In particular, models developed for forest fires are manifestly complex systems that show well-preserved scaling laws relating to the frequency of forest fires relative to their size. In sociological studies of conflict and deadly quarrels, similar statistical scaling laws have been observed, e.g., Richardson, with identical power-law indices. In earlier work, Gabrielov, Newman, and Turcotte (199?) succeeded in deriving from first principles those scaling laws. Here, we show that a simple redefinition of terms makes it possible for the statistics of gangs to be obtained from these other cellular automata models. In particular, by equivalencing the recruitment of gang members in the sociological problem with the planting of trees in the environmental problem, the observed statistics of gang populations and their prevalence can be derived. LANL Host: Mac Hyman, T-7 FRIAM Applied Complexity Group listserv Meets Fridays 9a-11:30 at cafe at St. John's College lectures, archives, unsubscribe, maps at http://www.friam.org FRIAM Applied Complexity Group listserv Meets Fridays 9a-11:30 at cafe at St. John's College lectures, archives, unsubscribe, maps at http://www.friam.org
