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From "Ramyaa (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SIS-97) [GSoC] Agent Based Modeling based geo-profiling of criminology projects
Date Thu, 02 May 2013 10:58:16 GMT

    [ https://issues.apache.org/jira/browse/SIS-97?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13647437#comment-13647437
] 

Ramyaa commented on SIS-97:
---------------------------

Hi,
 
a couple of comments:
1. distance decay
"
The agent will break into the house with a probability which is:
  directly proportional to the profit value of the house
  indirectly proportional to the probability that the v-agent recognizes the c-agent.
"

this is not coded, this comes out as an emergent property. i am not sure he got it.
similarly, i was not sure he got routine activity, i.e., that there should be a routine for
which we need the google map.



2. for routine activity, 
  we first need to create a virtual work-relaxation schedule ffor the agent - somehting like
      goto work every day, then hang out at a coffee place or so, or go to the mall or play
somehting...
     then, he moves to and from these places - this is where we need google maps
         both to give us the city maps as well as to give us the routes
         he has 3-4 routs between any pair of locations, and there is a prob distribution
over these.
   this sets the stage


thanks,
-Ramyaa

                
> [GSoC] Agent Based Modeling based geo-profiling of criminology projects
> -----------------------------------------------------------------------
>
>                 Key: SIS-97
>                 URL: https://issues.apache.org/jira/browse/SIS-97
>             Project: Spatial Information Systems
>          Issue Type: New Feature
>            Reporter: Suresh Marru
>              Labels: gsoc2013, mentor
>
> This idea targeted for GSoC project to extend the geo-profiling computational criminology
projects discussed in [1], [2]. Paper [2] uses a simple 2 dimensional spacial grid with x,
y co-ordinates to move the agents. This project should instead use google maps api to make
the agents move around as we validate various criminology theories like Distance Decay and
Routine Activity [3]. In the future these could be modeling in SIS when rendering is fully
supported. 
> The project involves engaging with the SIS community for special expertise, understanding
google maps api, understand the basic concepts of agent based modeling using a simple proof
of concept like example [4]. The project deliverables includes a web based interface embedding
google maps and randomizing agent moves and develop a memory function and overlay mocked crime
data and predict crime patterns. 
> In addition to SIS PMC, external backup mentors Suresh Marru, Ramyaa Ramyaa and Arvind
Verma will provide the necessary guidance on the theory of computing  and logic, agent based
modeling and criminology concepts. 
> This projects is suited for students who can interpret computer theory and logic and
efficiently implement algorithms, to prototype with GIS based maps and have enthusiasm to
publish multi-disciplinary conference papers. 
> [1] - http://www2.tcs.ifi.lmu.de/~ramyaa/publications/patrol.pdf
> [2] - http://www.security-informatics.com/content/pdf/2190-8532-2-3.pdf
> [3] - http://en.wikipedia.org/wiki/Routine_activity_theory
> [4] - https://code.google.com/p/iu-themis/source/browse/trunk/CrimInfoAgentBased/src/CrimInfoAgentBased.cpp

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