NEW TIES year 2 review

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 Coordinators 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
Modular Design
7
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