Please use this identifier to cite or link to this item:
http://hdl.handle.net/11375/5502
Title: | Knowledgeable agents for search and choice support in e-commerce: a decision support systems approach |
Authors: | Sproule, Susan Archer, Norman P. McMaster University, Michael G. DeGroote School of Business |
Keywords: | Software agents;Decision support systems;Search behaviour;Choice behaviour;Knowledge bases;Knowledge representation |
Publication Date: | Jul-2000 |
Series/Report no.: | Research and working paper series (Michael G. DeGroote School of Business) no. 446 |
Abstract: | <p>Software agents are a major innovation in how people use information systems, and they have parallels with how Decision Support Systems (DSS) support human decision-making. A DSS approach to the development of software agents suggests a highly interactive and flexible interface between the agent and its user, and addresses some potential barriers to the successful adoption of agent technologies. Within a DSS model, agents can be classified as providing search, choice or interface support. Each of these classifications uses techniques originating from separate disciplines and requires different performance measures. We use a real estate agent as a metaphor to examine the descriptive, procedural and semantic knowledge bases that agents can use to support search and choice activities in an exchange of goods or services.</p> |
Description: | <p>33 leaves : ; Includes bibliographical references (leaves 29-33). ; "July, 2000".</p> <p>This research was supported by a grant from the Social Sciences and Humanities Research Council of Canada.</p> |
URI: | http://hdl.handle.net/11375/5502 |
Identifier: | dsb/16 1015 4944036 |
Appears in Collections: | DeGroote School of Business Working Paper Series |
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