AI SearchAgent-based simulation of trade in barter trade exchanges
Call Number: AIT Thesis no.CS-05-15 Material type:
SeriesSeries: Asian Institute of Technology. Thesis ; no. CS-05-15Publication details: Pathum Thani, Thailand : Asian Institute of Technology, 2005Description: 60 p. : illSubject(s): Online resources: Dissertation note: Thesis (M.Eng.) - Asian Institute of Technology, 2005 Summary: In this thesis, we presented a simulator for barter trade exchange. The simulator is implemented using a data-driven approach. This technique learns probabilistic models of company purchase behavior from transaction history data obtained from an operating commercial barter trade exchange. We experiment with a number of different temporal and non-temporal probabilistic models. Our simulator is built by making use of the learned company purchase probability. The simulated trade is quantitatively evaluated by measuring the agreement between simulated and actual values from different aspects (purchase amount, sales amount, the absolute trade balance and the over all trade volume). Results show a high degree of agreement between the simulated and actual trade
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A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering, School of Advanced Technologies
Thesis (M.Eng.) - Asian Institute of Technology, 2005
In this thesis, we presented a simulator for barter trade exchange. The simulator is implemented using a data-driven approach. This technique learns probabilistic models of company purchase behavior from transaction history data obtained from an operating commercial barter trade exchange. We experiment with a number of different temporal and non-temporal probabilistic models. Our simulator is built by making use of the learned company purchase probability. The simulated trade is quantitatively evaluated by measuring the agreement between simulated and actual values from different aspects (purchase amount, sales amount, the absolute trade balance and the over all trade volume). Results show a high degree of agreement between the simulated and actual trade
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