Internal Research Seminar, King's College London, 2011.

1. ApracticalexampleofAgentsasdemonstratedby
SocialNetworkingintheCATplatform.
MartinChapman

3. “Catallactics”
Cat`al`lac´tics n. 1. The science of exchanges, a branch of political economy.

4. “Catallactics”
Cat`al`lac´tics n. 1. The science of exchanges, a branch of political economy.

5. Financial Markets

6. Financial Markets

7. Financial Markets

8. Financial Markets

9. Financial Markets

10. Agent Research

11. ... [A] new research tournament was launched in 2007 to promote
research into automated mechanism design: the Trading Agent
Competition Market Design (or CAT) Tournament.
The CAT Tournament comprises a series of artificial parallel markets,
designed to mirror the competition between global stock markets. These
parallel markets, called specialists , are created by entrants to the
Tournament, and they compete with one another to attract and retain
traders, who are potential buyers and sellers of some abstract commodity.
The traders are software agents created and operated by the organisers of
the CAT Tournament, in a reversal of the usual Trading Agent Competition
structure.
Extract taken from E. Robinson, P. McBurney and X. Yao. How specialised are specialists?
Generalisation properties of entries from the 2008 and 2009 TAC Market Design Competitions. 2010.

12. Source: JCAT: The Software Platform for CAT Games, version 1.05 edition, May 1, 2009
JavaCAT.

13. Trader A Trader B

14. Trader A Trader B

15. Trader A Trader B
BUY@
1.234

16. Trader A Trader B
BUY@
1.234

17. Trader A Trader B
BUY@
1.234
BUY@
4.321

25. “Networks ofinfluencebetweenmarket traders can
significantlyimpactupontheirindividualperformanceandthe
performanceofthespecialists theyinteract
with.”

26. “Networks ofinfluencebetweenmarket traders can
significantlyimpactupontheirindividualperformanceandthe
performanceofthespecialists theyinteract
with.”
“Assumingthehypothesis is true,thentowhat quantifiable
extentandunderwhatconditions donetworks ofinfluence
betweenmarket traders impact upontheirindividual
performanceandtheperformanceofthespecialists they
interactwith?”

27. Contributions.

28. Contributions.
Server-orientedcommunication;‘dumb’mimicking.
GuanGui (c/o. Dr. MillerandDr. Kirley), TheUniversityofMelbourne.

29. Source: G. Gui. CatSocialNetwork: User Guide, version 1.05 edition, Summer 2010.

30. Contributions.
Server-orientedcommunication;‘dumb’mimicking.
GuanGui (c/o. Dr. MillerandDr. Kirley), TheUniversityofMelbourne.

31. Contributions.
Server-orientedcommunication;‘dumb’mimicking.
GuanGui (c/o. Dr. MillerandDr. Kirley), TheUniversityofMelbourne.
Traderexperiences;theprecursortogivingadvice.

32. Contributions.
Server-orientedcommunication;‘dumb’mimicking.
‘Giving’advice;Networktopologies.
GuanGui (c/o. Dr. MillerandDr. Kirley), TheUniversityofMelbourne.
Traderexperiences;theprecursortogivingadvice.

33. Hierarchical Ring
Fully Connected
Fully Connected

34. Contributions.
Server-orientedcommunication;‘dumb’mimicking.
‘Giving’advice;Networktopologies.
GuanGui (c/o. Dr. MillerandDr. Kirley), TheUniversityofMelbourne.
Traderexperiences;theprecursortogivingadvice.

35. Contributions.
Server-orientedcommunication;‘dumb’mimicking.
‘Giving’advice;Networktopologies.
ReputationSystem;N-armedbandit.
GuanGui (c/o. Dr. MillerandDr. Kirley), TheUniversityofMelbourne.
Traderexperiences;theprecursortogivingadvice.

37. Contributions.
Server-orientedcommunication;‘dumb’mimicking.
‘Giving’advice;Networktopologies.
ReputationSystem;N-armedbandit.
GuanGui (c/o. Dr. MillerandDr. Kirley), TheUniversityofMelbourne.
Traderexperiences;theprecursortogivingadvice.

38. Contributions.
Server-orientedcommunication;‘dumb’mimicking.
‘Giving’advice;Networktopologies.
ReputationSystem;N-armedbandit.
‘Taking’Advice;Agentmentalities.
GuanGui (c/o. Dr. MillerandDr. Kirley), TheUniversityofMelbourne.
Traderexperiences;theprecursortogivingadvice.

40. SocialTraderGUI.

41. No social networking
strategy
A hierarchical
network
A ring network
A small world
network
A random social
networking strategy
A fully-connected
network
(response variable:
Average Trader Profit)
Normal Credulous ScepticalTrader type / Social
Network
Experiments.

42. No social networking
strategy
21.9597262766661
A hierarchical
network
21.9635335736683 24.1223991979382 22.5708117023643
A ring network 24.4381454210531 31.9911033817235 21.2901718805965
A small world
network
28.1729734360446 25.3014017341968 21.2901718805965
A random social
networking strategy
31.746038347001 32.6369474322239 26.3634805824215
A fully-connected
network
35.7998881478977 27.0993644179867 30.0296602534778
(response variable:
Average Trader Profit)
Normal Credulous ScepticalTrader type / Social
Network
Experiments.

43. TraderProfit.

44. 0
10
20
30
40
Profits
Smallworld
Ring
Hierarchical
Random
Fully-conntected
No network
Normal Credulous Sceptical
TraderProfit.

45. 0
10
20
30
40
Profits
Smallworld
Ring
Hierarchical
Random
Fully-conntected
No network
Normal Credulous Sceptical
TraderProfit.

46. T-Value. -4.07726925759703
Confidence. 0.95
Degrees of Freedom. 148
Standard Error of
Difference.
1.23318153195583
Mean Difference. -5.02801314927993
Standard Deviation. 6.7385672298091 8.28534631117571
Variance. 45.4082883106571 68.6469634961129
Mean. 21.9597262766661 26.987739425946
YES
No Social Network Informed Social StrategyPlatform state /
Statistical Measure

47. Normal Credulous Sceptical
TraderMentality.

48. 0
7.626
15.252
22.878
30.504
Profits
Normal Credulous Sceptical
TraderMentality.

49. NetworkStructures.

50. 0
8.062
16.124
24.186
32.248
Profits
Smallworld
Ring
Hierarchical
Random
Fully-conntected
NetworkStructures.

51. Clustering&Hubs.

52. LeaderVolatility.

53. LeaderVolatility.

54. LeaderVolatility.

55. ApracticalexampleofAgentsasdemonstratedby
socialnetworkingintheCATplatform.
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