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JASA

JASA. A high performance open-source auction simulator http://www.csc.liv.ac.uk/~sphelps/jasa. Steve Phelps sphelps@csc.liv.ac.uk Agent Research & Technology Group University of Liverpool. Background: auctions. Centralised resource allocation

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JASA

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  1. JASA A high performance open-source auction simulator http://www.csc.liv.ac.uk/~sphelps/jasa Steve Phelps sphelps@csc.liv.ac.uk Agent Research & Technology Group University of Liverpool

  2. Background: auctions • Centralised resource allocation • Agents submit their utility functions to a “system agent” (auctioneer), which computes the optimal allocation and payments. • Typically used when: • Valuations (utility functions) vary rapidly over time • Agents are uncertain about their own valuation • Speed of convergence to the optimal allocation is a high-priority design objective • When we have an impromptu need to “thicken” the market: gather many buyers and sellers together simultaneously

  3. Mechanism design • Design objectives can vary: • Maximise social welfare • Maximise seller revenue • Minimise time to convergence • Minimise computational complexity • Budget balance • No single optimal design- auction design is a MOO problem • Auction theory results fail to hold for many real-world auctions • Exchanges are particular hard • Hence simulations can sometimes shed light on the grey areas.

  4. Requirements • A flexible laboratory framework for Agent-based Computational Economics (ACE) • In ACE we often need to run experiments very many times. • We’re interested in applying evolutionary computing to ACE • We would like to experiment with many different auction mechanisms, trading strategies and learning algorithms • Replication work: we would like a set of reference-implementations for the above

  5. Design • Light-weight & High-performance • Highly extensible • Open-source • Readable code • Integration with ECJ for performing experiments using evolutionary computing http://cs.gmu.edu/~eclab/projects/ecj/

  6. .. Demo ..

  7. Open Source • JASA is a community-led project • Hosted at Sourceforge: http://sourceforge.net/projects/jasa • Current contributors: • Jinzhong Niu (CUNY) • Marek Marcinkiewicz (Columbia) • We welcome further contributions in the form of: • New functionality (eg new trading strategies, learning algorithms, auction types) • Suggestions for improvement • Bug reports • Bug fixes • Anything else! • Contact sphelps@csc.liv.ac.uk to become involved.

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