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NEW TIES year 2 review NEW TIES = New and Emergent World models Through Individual, Evolutionary and Social learning Timetable 10.00 10.20 10.45 11.15 11.30 12.00 12.30 13.00 14.00 14.20 14.50 – – – – – – – – – – – 10.20 10.45 11.15 11.30 12.00 12.30 13.00 14.00 14.20 14.50 15.30 Coordinator’s opening and summary WP1 presentation: scenarios and challenges WP2 presentation: evolving NEW TIES agents Coffee break WP3 presentation: language evolution and communication WP4 presentation: data analysis tools WP5 presentation: distributed NEW TIES platform Lunch break WP6 presentation: integration & evaluation Questions and answers session Review panel: deliberation (incl. coffee), project participants: coffee break 15.30 – 16.00 Review panels feedback to project participants 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 Main objectives from Annex I 1. 2. 3. 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 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? Modular Design Agents Language Learning Environment New Ties Virtual Machine Visualisers Data Miners Project structure (tech part) Simulated world WP5: p2p infrastructure WP1: environment & challenges WP3: language, communication, cooperation WP4: emerging world models WP2: agents and learning WP6: integration and evaluation 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 Main achievements per WP WP1: WP2: WP3: WP4: WP5: Scenario generator and map viewer Evolutionary learning in NEW TIES Language evolution in NEW TIES Interactive data analysis tools Distributed platform beta, incl. historical data module WP6: Complete code restructuring WP7: Release of the NEW TIES platform 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