Copyright 1997 by Uri Wilensky. All
rights reserved.
NSF REC
- 9632612
Welcome to the EACH Project!
The EACH project was founded
at the Center for Connected Learning and Computer-Based Modeling at Tufts University.
Our goal is to explore complexity in evolution through multi-agent modeling (aka
object-based parallel or agent-based modeling). Our focus is the Evolution of
Altruistic and Cooperative Behavior. EACH is an acronym for Evolution of Altruistic
and Cooperative Habits. The EACH project is a curricular initiative under the
auspices of two National Science Foundation Projects: Making Sense of Complex Phenomena
through Building Object-Based Parallel Models and Participatory Simulations
We have developed a number of
models in the StarLogoT modeling language that explore traditional evolutionary
concepts such as "success" and "fitness" as emergent phenomena. Thus far, we have
developed an "Altruism" model that demonstrates a plausible account of the
evolutionary success of altruistic agents in competition with selfish conspecifics.
We have also developed, in collaboration with students, a cooperation model that uses
the notion of population viscosity to demonstrate conditions under which cooperative
agents would have an evolutionary advantage over greedy agents.
Other models are
a "Divide-the-Cake" model, and a "Selective Altruism" model, still in development.
Information about these models is on the Models page, as are links to download
them and the StarLogoT modeling language.
Please visit the Activities and Papers
pages to read about our current research, and check out the Links page to find out
about a number of interesting sites.
Acknowledgements
The EACH project gratefully acknowledges the support of the National Science
Foundation (AAT and REPP programs), and is supported under NSF grant numbers
REC-9632612 and REC-9814682. Work on the project originally began under the title
CONNECTED MATHEMATICS: MAKING SENSE OF COMPLEX PHENOMENON THROUGH BUILDING
COMPUTATIONAL MODELS.