Tiangge: Dynamic strategies on buying and selling using distance-weighted nearest neighbor

Date of Publication

2004

Document Type

Bachelor's Thesis

Degree Name

Bachelor of Science in Computer Science

Subject Categories

Computer Sciences

College

College of Computer Studies

Department/Unit

Computer Science

Thesis Adviser

Allan Christopher Chu

Defense Panel Chair

Allan Christopher Chu

Defense Panel Member



Merlin Cruz-Suarez
Remedios Bulos

Abstract/Summary

Currently existing virtual markets provide consumers with efficient means of trade. They make products and services available over the Internet for easier access for the consumers. Virtual markets are continuously being improved by automation of the search, negotiation and completion of business transactions.

This thesis aims to provide full automation of buy and sell transactions, from searching for a suitable match for the transaction to negotiating for and closing the best possible deals. Unlike most existing systems that use static methods in decision-making and negotiation, this thesis uses agents performing dynamic strategies to perform transactions for the user. Through analysis of the current market situation and with consideration to the preferences of the user, the agent is able to adjust its performance to use a strategy that is appropriate for the current situation of the market and at the same time adaptive to the preferences of the user. In this thesis, the agents are able to carry out transactions just like how the user would do it.

Abstract Format

html

Note

With: Technical manual.

Language

English

Format

Print

Accession Number

TU13700

Shelf Location

Archives, The Learning Commons, 12F, Henry Sy Sr. Hall

Physical Description

1 v. (various foliations) : ill. (some col.) ; 28 cm.

Keywords

Interactive marketing; Marketing--Technological innovations

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