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

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slide1

JASA

A high performance open-source

auction simulator

http://www.csc.liv.ac.uk/~sphelps/jasa

Steve Phelps

[email protected]

Agent Research & Technology Group

University of Liverpool

background auctions
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
mechanism design
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.
requirements
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
design
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/

open source
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 [email protected] to become involved.
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