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NEW TIES year 2 review

NEW TIES year 2 review. NEW TIES = N ew and E mergent W orld models T hrough I ndividual, E volutionary and S ocial learning. Timetable. 10.00 – 10.20 Coordinator’s opening and summary 10.20 – 10.45 WP1 presentation: scenarios and challenges

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NEW TIES year 2 review

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  1. NEW TIES year 2 review NEW TIES = New and Emergent World models Through Individual, Evolutionary and Social learning

  2. Timetable • 10.00 – 10.20 Coordinator’s opening and summary • 10.20 – 10.45 WP1 presentation: scenarios and challenges • 10.45 – 11.15 WP2 presentation: evolving NEW TIES agents 11.15 – 11.30 Coffee break • 11.30 – 12.00 WP3 presentation: language evolution and communication • 12.00 – 12.30 WP4 presentation: data analysis tools • 12.30 – 13.00 WP5 presentation: distributed NEW TIES platform 13.00 – 14.00 Lunch break • 14.00 – 14.20 WP6 presentation: integration & evaluation • 14.20 – 14.50 Questions and answers session • 14.50 – 15.30 Review panel: deliberation (incl. coffee), project participants: coffee break • 15.30 – 16.00 Review panels feedback to project participants

  3. What is NEW TIES? An artificial agent world with • Interesting scenarios / challenges • Emergence engine = • Evolutionary learning • Individual learning • Social learning • Language evolution — link with IL & SL • Detection of world models (culture, data mining) • Large scale: many & complex agents, long simulations

  4. Main objectives from Annex I • To develop an artificial society with an emergent culture. • To realise a powerful “emergence engine” as a combination of individual learning, evolutionary learning, and social learning. • To develop, evaluate, and use a range of social learning mechanisms that allow sharing knowledge with other members of the population. Essential & distinguishing feature: enormous scale-up

  5. NEW TIES questions (examples) • Can a NT society learn “ecologically correct” behavior? • Can individual learning compensate for bad genes? And social learning? • Can the agents develop language and share info through it? Can we understand it? • Will telepathy work as social learning mechanism? • What culture will emerge? • Can we start a (p2p) SIG where users compete by their “home-brewed tribes” in a NT world? Could we win such a competition?

  6. Agents Language Learning Environment New Ties Virtual Machine Visualisers Data Miners Modular Design

  7. Simulated world WP1: environment & challenges WP5: p2p infrastructure WP2: agents and learning WP3: language, communication, cooperation WP4: emerging world models WP6: integration and evaluation Project structure (tech part)

  8. Year 2 in brief • Major code restructuring  effective start of NEW TIES experiments in April-May 2006 • Experiments: • Evolutionary learning: • simple world (calibration) and • poison world (challenge solved) • Language evolution: collective lexicon developed • Development: • Scenario generator • World model detectors, data analysis (user in the loop!) • Distributed platform

  9. Main achievements per WP • WP1: Scenario generator and map viewer • WP2: Evolutionary learning in NEW TIES • WP3: Language evolution in NEW TIES • WP4: Interactive data analysis tools • WP5: Distributed platform beta, incl. historical data module • WP6: Complete code restructuring • WP7: Release of the NEW TIES platform

  10. Biggest challenges at the moment • Evolution remains the only learning mechanism, i.e., no IL and no SL • Evolved language (components) not used by agents for info exchange or as building blocks in IL • Simulation times are too long • No challenging and appealing scenario solved NEW TIES must become more than another ALife project

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