U-Mart2001

In order to evaluate the U-Mart System formally, machine agent programs had been invited prior to the experiment to do pre-experiments. Four types of time series (up, down, reverse, oscillate) were used in the experiment and participating machine agents were ranked based on the results. All such machine agents were set to connect to the server via a network and to collect information or order real-time. It took about two hours per trial, even with the machine agents.

Date
  August 25, 2001
Place
  SICE Natsuno Gakko, INTEC Oyama Training Center
Participants
  14 teams (39 agents)
Agent type
  Machine and Human

  1. # Sessions per day: 4 times
  2. Session interval: 15 seconds
  3. Trading period: 60
  4. Total # sessions: 240 times
  5. Two experiments were conducted per time series in advance (with/without random agents).
    Total ten experiments were conducted during the session.

yMachine and Humanz

Team University Member ID
Koyama Kyoto Sangyo University m‚P
Kobayashi Tokyo University m2`m6
Ariyama Osaka Prefecture University m7`m8
Arai Chiba Institute of Technology m9
Ihara Chiba Institute of Technology
m10
Arima
Kyoto University
m11
Inoue
Kyoto University
m12`m20
Vincent
National Defense Academy in Japan
m21
Kawauchi
National Defense Academy in Japan
m22`m25
Ishii
Tokyo Institute of Technology
m26`m30
Kumei
Osaka City University
m31`m33
Goto
Osaka City University
m34
Ueda
Osaka City University
m35
Hashimoto
Osaka City University
m36`m39

Case 1: Default sequence Profit Upper ranks Agent

ŸWithout random agents

Rank Agent name Member ID Team University
No.1 DayTrade m34 Goto Osaka City University
No.2 Inoue7 m18 Inoue Kyoto university
No.3 Inoue6 m17 Inoue Kyoto University

ŸWith random agents

Rank Agent name Member ID Team University
No.1 Inoue6 m17 Inoue Kyoto University
No.2 DayTrade m34 Goto Osaka City University
No.3 Test2@Strategy m3 Kobayashi Tokyo University

Case 2: Upper sequence Profit Upper ranks Agents

ŸWithout random agents

Rank

Agent name

Member ID Team University
No.1 Inoue5 m16 Inoue Kyoto University
No.2 Test2 Strategy m3 Kobayashi Tokyo University
No.3 DayTrade m34 Goto Osaka City University

ŸWith random agents

Rank Agent name Member ID Team University
No.1 Inoue6 m17 Inoue Kyoto University
No.2 DayTrade m34 Goto Osaka City University
No.3 Test2 Strategy m3 Kobayashi Tokyo University

Case 3: Down sequence Profit Upper ranks Agents

ŸWithout random agents

Rank Agent name Member ID Team University
No.1 Inoue6 m17 Inoue Kyoto University
No.2 Inoue7 m18 Inoue Kyoto University
No.3 Test3 Strategy m4 Kobayashi Tokyo University

ŸWith random agents

Rank Agent name Member ID Team University
No.1 ZaimaStrategy m11 Arima Kyoto University
No.2 Random Trade m42 U-Mart-Kit @\\\\\\\\\\\\
No.3 Inoue4 m15 Inoue Kyoto University

Case 4: Reverse sequence Profit Upper ranks Agents

ŸWithout random agents

Rank Agent name Member ID Team University
No.1 Fumi1 m36 Hashimoto Osaka City University
No.2 Fumi3 m38 Hashimoto Osaka City University
no.3 Sonkiri m24 Kawauchi National Defense Academy in Japan

ŸWith random agents

Rank Agent name Member ID Team University
No.1 Random Trade m41 U-Mart-Kit @\\\\\\\\\\\\
No.2 Random Trade m40 U-Mart-Kit @\\\\\\\\\\\\
No.3 Random Trade m42
U-Mart-Kit
@\\\\\\\\\\\\

Case 5: Oscillate sequence Profit Upper ranks Agents

ŸWithout random agents

Rank Agent name Member ID Team University
No.1 DayTrade m34 Goto Osaka City University
No.2 Inoue7 m18 Inoue Kyoto University
No.3 Inoue6 m17 Inoue Kyoto University

ŸWith random agents

Rank Agent name Member ID Team University
No.1 Inoue6 m17 Inoue Kyoto University
No.2 DayTrade m34 Goto Osaka City University
no.3 Test2 Strategy m3 Kobayashi Tokyo University

yU-Mart2001z
EPrices were more stable than in Pre U-Mart 2000
EThere were less incompetent participants
EThere were more economic savvy participants
EStrategic types, the majority participating agents, must be mounted with the limit.
EEven with the preferable conditions mentioned above, the market had a turbulent sometimes.
ETurbulent occurred often from the midpoint to the ending of the session.
(At Pre U-Mart 2001, turbulent occurred from the beginning.)