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suppose that you work for the child social services agency in your county your job is to investigate instances of
consider a production system consisting of 2 resources m1 and m2 these resources are used to manufacture two different
we have talked about geographic and network-based environments is there a model where you would want to use both
the human body as an abm in the world of agent-based modeling sometimes the term meta-agent is sometimes used to
1 modify the preferential attachment model so that as hubs get more and more attachment requests they decrease their
1 in the giant component model the probability of any two nodes getting connected to each other is the same can you
try making a model similar to virus on a network model but where the virus has the ability to mutate itself such
1 3d models it is often possible to create a 3d version of a 2d abm sometimes the behavior of the model is similar but
many times in both nature and society distributed elements can synchronize their behavior this occurs with physical
in the experiments discussed in this chapter we discussed how density of individuals affects the spread of disease
after modifying the traffic grid model as in the previous exploration the traffic still might not flow that smoothly as
discrete event scheduler we have discussed several different issues to consider when designing the schedule for your
1 adaptive traffic basic in the section on adaptive agents we gave you some of the basic pieces of code necessary to
different topologies build a model of a phenomenon where agents communicate with nearby agents in a euclidean space
clustering coefficient and average path length we discussed how the clustering coefficient and average path length of a
recovery the model that we have created is what is called an si susceptible and infected model modify this model to
language change rewrite the spread of disease model as a language change model think of the infection as a new way of
testing parameter spaces the fur model in the biology section of the models library can generate a lot of different
dynamic networks in the spread of disease model when we switched from a spatial relationship between agents to a
this class of disease-spread models is also related to percolation that we discussed before compare and contrast the
throughout this chapter we have modeled the spread of disease researchers have hypothesized that innovations spread in
1 change the voting model so it can start with a nonrandom green-and-blue pattern for example one could make half of
replicating additional results in axelrod and hammond s original ethnocentrism model one change that prevented
1 in the flocking model in the biology section of the netlogo models library currently the birds can see all around
1 introduce a predator bird into the flocking model how will this affect flocking2 adapt the flocking model so it