JASA
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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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Jasa

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/


Jasa

.. Demo ..


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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