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New and Emergent World models Through Individual, Evolutionary, and Social Learning |
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Project Fact
Sheets
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| Project Acronym: |
NEW TIES |
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| Project Reference: |
3752 |
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| Start Date: |
2004-09-01 |
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| Duration: |
36 months |
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| End Date: |
2007-08-31 |
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| Project Status: |
Execution |
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| Project Funding: |
1.55 million euro
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Strategic Objective:
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IST, FET Open
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| Project coordinator |
A.E. Eiben |
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Emergence & complexity in artificial societies
The NEW TIES project is growing an artificial society using
computer programming that develops agents--or adaptive, artificial beings--that
have independent behaviours. The project
is the first of its kind to develop a large-scale and highly complex
computer-based society. The project's results may have larger
implications for information technologies design, evolutionary
computing systems, artificial intelligence and linguistics.
The project's goal is to evolve an artificial society capable of
exploring and understanding its environment through cooperation and
interaction. The agents are sufficiently complex and their environment
demanding, which enables them to develop a communication system tolearn
how to cooperate and to adapt.
Innovations
The development of social learning by passing on knowledge using language within
the same generation is a key innovation of the project. Social learning enables the society to
rapidly develop an "understanding" of its world collectively. By
probing the collective mind we learn how agents perceive their
environment and their society. We also assess what skills they have
developed to adapt successfully.
Large scale experiments
The project is a significantly scaled-up experiment beyond any
existing state-of-the-art social simulation. To study the highly
complex beings and their behaviours, we are developing very large
populations supported by a distributed computing infrastructure and a
shared, p2p platform. The large-scale system ensures that the
environment and society is complex enough to allow significant
behaviours and interactions to emerge.
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Last Updated ( Wednesday, 26 March 2008 )
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