The performance of a strategy obviously depends on what the strategy does. However, it also depends on the behaviour of other participants. For example, if there are sufficient number of easy-going participants, who would make deals as soon as profit can be made, then an aggressive strategy could do quite well, even if it makes no attempt to recognize deadlines by its opponents. On the other hand, if most participants are aggressive and make no attempt to recognize deadlines by their opponents, they could fail to strike deals most of the time. In this case, an easy-going participant could do well.
The performance of a strategy also depends on the profit potential, i.e. utility minus cost. Some programs (especially aggressive ones) work better when the profit potential is large.
|2009 entries:||jmcait_seller.plg, ps_sell.pl, jvanSeller.txt||jmcait_buyer.pl, jtbuyer.plg, jvanBuyer.txt|
|2004 entries:||ccmusg_s.plg, lemeri_s.plg, mkern_s.plg||ccmusg_b.plg, rbragg_b.plg|
|2001 entries:||rpstac_sell.pl, dgjaco_sell.plg||Stacey_Buyer.pl, psourt_buyer.pl|
|Control:||keen_seller.plg, random_seller.plg||keen_buyer.plg, random_buyer.plg|
2001 entries were not given the parameters. 2004 entries were told that parameters were provided at run time. So they have an edge over 2001 entries. 2009 entries were told in advance the parameters that were used in the tournament. So they have an edge over the previous entries. Some programs were designed for the parameters given.
Of the 2009 entries, Philip Street's seller (ps_sell.pl) and Jason Caits-Cheverst's buyer (jmcait_buyer.pl) achieved the highest scores (on average 40.1 and 30.5 respectively per game). Overall, Robert Stacey's seller (rpstac_selle.pl) and Christopher Musgrave's buyer (ccmusg_b.plg) achieved the higher scores (on average 64.7 and 49.3 respectively per game).
Nevertheless, results with lost-making traders removed were looked at. Under this situation, Christopher Musgrave's seller (ccmusg_s_plg) and buyer (ccmusg_b.plg) were both winners (on average scoring 42.8 and 49.3 respectively per game).
Maintained by: Edward Tsang; Last Updated: 2009.12.08