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Strengths
“The basic structure of the system that is
powerful yet tremendously flexible. I have explored other
simulation systems and the common problem I have faced is
that they force the user into making assumptions of one kind
or another that may or may not be appropriate. I think the
Swarm's biggest strong point is in its very *abstracted*
nature. The user can program nearly anything (within some
scheduling limitations).” [1]
“Reproducability of results by others. Useful
objects for observing and logging simulation
results. Run-time analysis of the model.” “For whatever reason, I got about 3,000 lines/week
productivity out of programming on the Swarm framework,
easily 5x prior platforms.” “Coming from a non-programming background, the
fact that it is gives me a skeleton frame for developing my
applications appeals a lot to me. It has helped me save a
lot of time by not developing a simulation tool from
scratch.” “Strong user base and strong developer
support.” “Framework for agent-based simulation. It is
really the only platform of its kind and the ongoing
development is really quite irreplaceable.” “The inter-disciplinary user community is very
important. After the initial learning curve, it's very easy
to develop surprisingly complex scenarios (simulations) And,
it's really cool...”
What's been done with Swarm?Natural Sciences.
the emergence of food cycles using a bacteria-like populations of agents simulation of the growth of bacterial cells mechanical shape generation and optimization using cell-based shape representation genetic regulatory networks and pattern formation in drosophilia development ecosystem dynamics models local circuit dynamics involved in thalamic pain processing based on physiologically realistic models host/parasitoid and marine intertidal population ecology modeling the spatial interaction of three very different seagrass species in Western Australia. modeling the interaction of juvenile salmon and their predators in the Columbia / Snake River system artificial chemistry based on local interactions among molecules biochemical reactions predator/prey models using spatial dynamics
Social Sciences.
the role of emotions in social
simulations cognitive ergonomics: analyzing cognition
and cooperation between health care
workers cultural vectors of psychological disorders
across time Regional growth, spatial layout and
transportation systems Sugarscape-type model to investigate gender
and class structure in society cultural transmission among spatially
structured groups settlement pattern modeling of southwestern
prehistoric land use modeling of settlement pattern systems,
coevolution of agent distributions and network
structure hunter-gathereer movement in the Great Basin
using optimal foraging theory modeling the effects of anxiety in human
relationship systems food systems in developing
countries defection tolerance of emerging social
complexity the domestic politics of international
crisis diplomacy effects of culture on transition to
capitalism
Economics.
economics of slavery modeling effects of customer satisfaction on
profits over various time scales studying adaptive organizations, network
transactions in economics agent based models in
economics consumer behavior modeling origin of central banking financial system
(in)stability spread of
fashion influence in consumer markets origin of markets and
states supply webs,
consumers, macroeconomic models electrical system market modeling economics, policy evaluation microeconomics
modeling: oligopolistic competition models sector-driven regional modeling
Military.
simulation of Micro Air Vehicle group behavior in searching for tanks decision related structures, information flow command, control, communications modeling information warfare simulation fuzzy-genetic decision optimization for positioning of military combat units
Commercial Applications.
multi agent feature based CAD system mobile communication system databases with mobile agents management and human resources (training programs) engineering design and manufacturing management automation, cooperatively developed schedules
Other.
interactive music composition virtual reality, avatars agent-based simulation for activity based scheduling modeling language contact situations the emergence of specific movement behavior and imitation behavior modeling an Immune Systems for pattern recognition basic research in complex adaptive systems artificial life modeling developing GIS-Cellular Automata class for dynamic landscape modeling
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