<a xmlns="" href="ftp://ftp.swarm.org/pub/swarm/apps/objc/contrib/scl-0.05.11.tar.gz">

SCL v0.05.11</a> [Updated to Swarm 1.3] - <a xmlns="" href="http://www.eeng.dcu.ie/~mcmullin">Barry McMullin</a> is studying artificial chemistries and the origins of life. He has two papers available at SFI and many more accessible via his home page. The first one, <a xmlns="" href="http://www.santafe.edu/sfi/publications/Working-Papers/97-01-001/">

           Computational Autopoiesis: The Original Algorithm</a> (<a xmlns="" href="http://www.santafe.edu/sfi/publications/Working-Papers/bmcm9701.ps"> postscript

-- 548207 bytes</a>), is about the particular artificial chemistry that inspired him to develop the SCL model. The second one, <a xmlns="" href="http://www.santafe.edu/sfi/publications/Working-Papers/97-01-002/">SCL: An Artificial Chemistry in Swarm</a> (<a xmlns="" href="http://www.santafe.edu/sfi/publications/Working-Papers/97-01-002/bmcm9702.ps">postscript -- 205293 bytes</a>), is about the SCL model. (The file <a xmlns="" href="ftp://ftp.swarm.org/pub/swarm/apps/objc/contrib/scl-data00.tar.gz">scl-data00.tar.gz</a>

contains the data for <a xmlns="" href="http://www.eeng.dcu.ie/~alife/bmcm-ecal97">bmcm-ecal97</a>.)

<a xmlns="" href="http://peaplant.biology.yale.edu:8001/gecko.html">Gecko</a>

- Gecko is an individual-based simulator for modeling ecosystem
dynamics being developed at the Center for Computational Ecology at
the Yale Institute for Biospheric Studies. It is being developed
by<a xmlns="" href="http://peaplant.biology.yale.edu:8001/~ginger/"> Ginger
Booth</a>.

<a xmlns="" href="http://www.eeb.yale.edu/ginger/bacillus/">BacSim</a>

         - BacSim is an individual-based simulator of bacterial
         growth developed by <a xmlns="" href="mailto:Kreft@cardiff.ac.uk">Jan Kreft</a> at <a xmlns="" href="http://www.cf.ac.uk/uwc/pabio/">Cardiff
         University</a>, Wales, UK. It is based on <a xmlns="" href="http://peaplant.biology.yale.edu:8001/gecko.html">Gecko</a>

         which is being developed by <a xmlns="" href="http://peaplant.biology.yale.edu:8001/~ginger/">Ginger
         Booth</a>. We have <a xmlns="" href="Pages/BacSim/BacSimScreenShot.gif">screen shots</a>
         of BacSim and movies of Escherichia coli colonies
         growing at <a xmlns="" href="Pages/BacSim/random.low.anim.gif">low</a> (0.1 g
         glucose per liter), <a xmlns="" href="Pages/BacSim/random.medium.anim.gif">medium</a> (1
         g glucose per liter), and <a xmlns="" href="Pages/BacSim/random.high.anim.gif">high</a> (10 g
         glucose per liter) substrate concentrations. The embryo of a
         <a xmlns="" href="http://www.eeb.yale.edu/ginger/bacillus/">web
         page</a> is in its early stages of development.

<a xmlns="" href="http://kal-el.ugr.es/jj/jj.html">J.J.

         Merelo</a> is interested in artificial life, genetic
         algorithms, neural nets, and other techniques, especially
         applied to optimization.  See the <a xmlns="" href="http://www.santafe.edu/~jmerelo/neurolib/neurolib.html">neurolib</a> and
         <a xmlns="" href="http://www.santafe.edu/~jmerelo/libga/libga.html">libga</a> libs
         he's contributed to Swarm.

<a xmlns="" href="http://www.santafe.edu/~alex/bugverse.html">Bugverse</a>

       is project to look at evolution of neural complexity in neural
       networks with a recursively modular architectures
       (i.e. different "scales" of organisation). These networks are
       embedded within creatures that inhabit a simple artificial
       ecology.  The team is currently <a xmlns="" href="http://www.santafe.edu/~alex">Alex Lancaster</a> now
       at the <a xmlns="" href="http://www.santafe.edu">Santa Fe
       Institute</a> and <a xmlns="" href="http://www.mhri.edu.au/~dma/index2.html">David
       Alexander</a> of the <a xmlns="" href="http://www.mhri.edu.au">Mental Health Research
       Institute</a> in Melbourne, Australia.

<a xmlns="" href="http://www.ma.umist.ac.uk/dsumpter/beesim/index.html">BeeSim</a>

- <a xmlns="" href="http://www.ma.umist.ac.uk/dsumpter/">David Sumpter</a> at the <a xmlns="" href="http://www.UMIST.ac.uk/">University of Manchester Institute of Science & Technology</a> is studying the behaviour of honey bees and is progressing on the simulation of such using Swarm.

<a xmlns="" href="http://alife.tuke.sk/projekty/mag_html/mag_intro.html">Metabolizing

         Agents (MAG)</a> - <a xmlns="" href="http://www.ifi.ntnu.no/~zvirinsk">Peter
         Zvirinsky</a> has developed a project with Swarm called
         Metabolizing Agents (MAG).  MAG simulates a bacteria-like
         population in an environment with different resource types.
         MAGs search for the food, must move to the food, burn energy
         to make movements and to survive, grow as they eat and split
         in two as they reach reproduction size. Each agent has its
         genetic code determining food he consume and food he produce
         and some of its other abilities. The code is also subject of
         mutation to enable agents adaptation by evolution. Resources
         flux through the system is also controlled. Monitored
         parameters are overall population, agents qualities,
         resources amount and 2D world view itself.

<a xmlns="" href="http://www.omicrongroup.org/evo">Evo</a> (pronounced EE-vo) is a software framework that allows researchers to study complex systems of independent agents interacting with one another and with their environment. Evo employs biological operators such as genetic recombination and mutation to evolve the behavior of agents so that they are more adapted to their environment.

<a xmlns="" href="http://biology001.unm.edu/~benquist/">Brian Enquist</a> at

the <a xmlns="" href="/">Santa Fe Institute</a> and Jay Pringle of the

<a xmlns="" href="http://www.cs.unm.edu">UNM Computer Science Department</a> are working on a Swarm model of plant ecosystems

           incorporating allometric scaling relations.

<a xmlns="" href="http://www.lps.ens.fr/~weisbuch">Gerard Weisbuch</a> of Ecole

Normale Supérieure is using Swarm to study adaptive agents in interaction with their physical or biological environments, exploiting renewable resources such as <a xmlns="" href="http://www.lps.ens.fr/~weisbuch/w2/w2.html"> fisheries</a> or <a xmlns="" href="http://www.lps.ens.fr/~weisbuch/car/car.html"> polluting</a> their environment and in interaction with other agents <a xmlns="" href="http://www.lps.ens.fr/~weisbuch/marcomp/marcomp.html"> in markets</a>

Vladen Babovic and Thomas Gudmunsson from

           <a xmlns="" href="http://www.dhi.dk/">The Danish Hydraulic
             Institute</a> are studying Individual Based
       Modelling of Aquatic Ecosystems and Adaptive
       Numerical Grids.

<a xmlns="" href="http://margay.sscnet.ucla.edu/~savage">Melissa

                            Savage</a> (UCLA), and <a xmlns="" href="/~manor">Manor Askenazi</a> have
                            built a model of forest dynamics whose
                            goal is to examine the role of fire on
                            species diversity.  The <a xmlns="" href="ftp://ftp.swarm.org/pub/swarm/apps/objc/contrib/arborgames-1.0.0.tar.gz">source
                            code</a> for <a xmlns="" href="http://margay.sscnet.ucla.edu/~reb/arborweb/arbormain.html">Arborgames</a>,
         as the app is called, is provided in our
         anarchy directory.  The next generation
         version of the application is called
         Arborscapes.

<a xmlns="" href="http://bamboo.mluri.sari.ac.uk/~mattie/homepage.html">Matt

                            Hare</a> at <a xmlns="" href="http://www.mluri.sari.ac.uk/mluri.htm">Macaulay
                            Land Use Research Institute</a>

         (MLURI) is building a model of the
         socio-economic & ecological domain of Red
         Grouse population dynamics called <a xmlns="" href="http://bamboo.mluri.sari.ac.uk/~mattie/weaver.html">
           Weaver</a> using Swarm.  Matt is also
         interested in the larger issues of the
         dependence of a model on implementation
         and how to avoid such or ensure the
         integrity of a model when translated.

<a xmlns="" href="http://www.eawag.ch/~pahl">Claudia

         Pahl-Wostl</a>'s group at the Swiss Federal Institute of
         Environmental Science and Technology, Duebendorf (EAWAG) is
         studying ecological and socio-economic networks.  A current
         Swarm model is being used to generate ecological networks,
         which will allow the investigation of the effects of a
         network's structural organization and of the properties of
         the individual network elements on system performance.

A team team affiliated with the Department of

         Mathematics, Humboldt State University, under the direction
         of <a xmlns="" href="http://www.humboldt.edu/~rhl1/">Dr. Roland
         Lamberson</a> is working on <a xmlns="" href="http://weasel.cnrs.humboldt.edu/~simsys/">individual-based
         fish modeling</a>, including development of (a)
         individual-based modeling theory and (b) modeling
         software. They are developing animal movement methods that
         cause realistic complex behaviors to emerge from simple
         rules as habitat conditions and food supply change.  Their
         California Individual-based Fish Simulation
         System is a Swarm-based platform for rapidly
         building, testing, and running experiments with
         individual-based fish population models. The prototype was
         developed by <a xmlns="" href="mailto:gepr@swarm.com">Glen
         Ropella</a>; the code is now being developed by <a xmlns="" href="mailto:LRA@northcoast.com">Steve Railsback</a> and
         <a xmlns="" href="mailto:Jackson3@Humboldt1.com">Steve
         Jackson</a>.  Their presentations from
         SwarmFest '99 should be online from the

<a xmlns="" href="http://www.santafe.edu/projects/swarm/users/Pages/Village/village.html">Village</a>

- Village is a model being developed to test varying anthropological theories about Anasazi village formation in the Mesa Verde district. It is being developed by <a xmlns="" href="http://www.wsu.edu/~anthro/faculty/kohler.html">Tim Kohler</a> of Washington State University and Carla Van West of Statistical Research, Inc. Eric Carr has done much of the implementation of the model in Swarm. The <a xmlns="" href="ftp://ftp.swarm.org/pub/swarm/apps/objc/contrib/village4-1.0.0.tar.gz">Village4 source code</a> is up and running with Swarm 1.0.0.

John B. Corliss<<a href="mailto:corliss@ceu.hu">corliss@ceu.hu</a>> and

         <a xmlns="" href="http://heureka.inf.elte.hu/~gulya/">László
           Gulyás-Zana</a> are part of a group at the <a xmlns="" href="http://www.ceu.hu">Central European University</a>
         that is starting a Systems Laboratory which will study
         agent-based complex systems models of social systems as
         collections of individuals.

<a xmlns="" href="http://weber.u.washington.edu/~clipo">Carl

         Lipo</a> and Sarah Sterling at the University of
         Washington and Emergent Media is working on the <a xmlns="" href="http://www.emergentmedia.com/archy/">Cultural
         Transmission Project</a>, which is using simulation to
         model social interaction using an evolutionary approach to

<a xmlns="" href="http://aaron.physics.lsa.umich.edu:80/Software/Drone/">Drone

         </a>- The CAR Group at the <a xmlns="" href="http://pscs.physics.lsa.umich.edu/">University of
         Michigan Program for the Study of Complex Systems</a>

         has developed a tool called "Drone" that can be
         used with Swarm or with other simulation packages to do
         multiple runs of a simulation while varying the inputs
         automatically. The CAR Group consists of Michael Cohen,
         Robert Axelrod, and Rick Riolo.

General Electric's <a xmlns="" href="http://www.crd.ge.com/~bushsf/ftn">Imperishable Networking</a> group used Swarm to model the evolution of complexity on an active network.

<a xmlns="" href="http://www-iiuf.unifr.ch/~chantem/">Fabrice

             Chantemargue</a> is a member of the <a xmlns="" href="http://www-iiuf.unifr.ch/pai/axe/AMOC.html">Autonomy
             Modelisation and Coordination (AMoC)</a> project at
             the University of Fribourg that has implemented a model
             of  Implicit cooperation and Antagonism in
             Multi-Agent Systems in Swarm.  He has an
             <a xmlns="" href="ftp://ftp.swarm.org/pub/swarm/apps/objc/contrib/EnhApp.tar.gz">enhanced
             application</a> that uses the Vision library to help
             model this antagonism.  (This archive doesn't create a
         new directory when you untar it.)

MIMD Systems - Jim Clark at McGill University

         is porting a simulation of an MIMD parallel computer via
         "processor agents" moving around in a data space
           to do load balancing on those processors. He has provided
         a <a xmlns="" href="/projects/swarm/users/clark_tr94.ps">postscript paper
           entitled "A Model for Natural and Artificial MIMD
           Systems"</a> describing the model.

<a xmlns="" href="http://farm.ecs.umass.edu/~naga">Naga

           Krothapalli</a> at University of Massachusetts at
         Amherst is interested in the simulation of multi-agent
         manufacturing systems, ant colonies and supply chain

<a xmlns="" href="http://cce.sscnet.ucla.edu/swarmcourse">Benedikt

           Stefansson</a> is interested in Computational
           Economics and is specifically using Swarm to study the
           dynamics of competition in a differentiated product market
           and an evolutionary model of Principal-Agent

<a id="ASM"></a>Sponsored by the <a xmlns="" href="http://www.santafe.edu">Santa Fe Institute</a>, Brandon Weber

     has written extensive documentation for the two Artificial Stock Market
     implementations: <a xmlns="" href="ftp://ftp.swarm.org/pub/swarm/src/users-contrib/anarchy/ASM/ASM-2.0.tar.gz">Swarm</a> 

     <a xmlns="" href="http://lark.cc.ukans.edu/~pauljohn">Paul Johnson</a>
     <a xmlns="" href="mailto:pauljohn@ukans.edu"><pauljohn@ukans.edu></a>
     is now maintaining ASM at <a xmlns="" href="http://ArtStkMkt.sourceforge.net">

<a id="SWIEE"></a>The <a xmlns="" href="http://swiee.econ.unito.it">Swarm Web Interface for Experimental Economics</a> (SWIEE) is a project that aims to develop software classes and examples for facilitating experiments with human subjects.

<a xmlns="" href="http://www.bol.ucla.edu/~dschreib">Darren

             Schreiber</a> has implemented an agent-based model
             of the formation of political parties.  The program
             unifies four traditional results in political science as
         emergent consequences of the model: 1) the tendency
         towards two parties, 2) movement towards the median
         voter, 3) party realignment with a change in issue
         salience, and 4) the tendency towards a minimum winning
         coalition.  He is also working with the Empirical
         Research Group at UCLA Law School on an update of Thomas

<a xmlns="" href="http://www.nr.usu.edu/~sanduku">Paul

         Box</a> is an assistant professor of geography and earth
         resources at Utah State University and assistant director of
         a very well-equipped remote sensing and GIS lab that is
         currently part of the geography department at USU.  He
         previously wrote a simulation in Swarm to study recreational
         boat traffic in Sarasota Bay.

<a xmlns="" href="http://www.ncgia.ucsb.edu/~cath/">Catherine

         Dibble</a> is using Swarm model spatial technologies
       and human settlement patterns and the associated
       economic, social, and environmental implications of
       likely changes.  She has two relevant papers on the web:
       <a xmlns="" href="http://www.ncgia.ucsb.edu/~cath/geocomp96.html">Theory
           in a Complex World: Agent-Based Simulations of
           Geographic Systems</a> and
       <a xmlns="" href="http://www.ncgia.ucsb.edu/~cath/geocomp97.html">Geographic
           Modeling with Computational
           Laboratories</a>.

<a xmlns="" href="mailto://n.gotts@mluri.sari.ac.uk">Nick

           Gotts</a>, <a xmlns="" href="mailto://a.law@mluri.sari.ac.uk">Alistair Law</a>

           and <a xmlns="" href="mailto://g.polhill@mluri.sari.ac.uk%20">Gary
           Polhill</a> of the Land Use Science group at the
           <a xmlns="" href="http://www.mluri.sari.ac.uk/">Macaulay Land
           Use Research Institute</a> in Aberdeen, Scotland, are
           working on an agent-based model of land-use change in
           Swarm called FEARLUS (Framework for Evaluation and

         <a xmlns="" href="http://www.rpi.edu/~kewler/fgdo/fgdo.html">Fuzzy-Genetic
                Decision Optimization for Positioning of Military
                Combat Units</a> by <a xmlns="" href="http://www.rpi.edu/~kewler/thespage.html">CPT
                Rob Kewley,</a> U.S.  Army.  Fuzzy-genetic
                decision optimization solved a problem of positioning
                military combat units for optimum performance.  It
                used a Swarm simulation model to evaluate solutions,
                a fuzzy logic module to map simulation outputs to a
                single fitness value, and a genetic algorithm to
                search the terrain for a near-optimal combination of
                unit positions. In this study, the fuzzy-genetic
                system outperformed a human expert during a simulated