Conducting the disambiguation dialogues between software agent sellers and human buyers

Von Wun Soo; Hai Long Cheng

doi:10.1007/3-540-45680-5_9

Conducting the disambiguation dialogues between software agent sellers and human buyers

Von Wun Soo
, Hai Long Cheng

National Tsing Hua University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

In the buying and selling interaction in e-commerce, one of the important dialogues is the discourse of resolving the ambiguities. That is to say that both selling and buying agents may have to conduct disambiguating dialogues to some extent in order to resolve the ambiguities and infer the true intents of the other agents. In the paper, we assume buyers are human agents while sellers are software agents and thus the seller agents will construct dialogues to resolve the ambiguities from the buyer agents. To resolve ambiguities, agents rely on four levels of domain knowledge: the world model, the mental model, the language model, and the rational model. In addition, four kinds of disambiguation strategies for the seller agent are implemented: (1) Guessing (2) Filtering (3) Recommending and (4) Asking more hints. Experiments are conducted also to measure the performance of the dialogue system against different parameter settings of the disambiguation strategies. We find that by optimal parameter setting and suitable strategy combination, the seller will result in a shorter dialogue without sacrificing much the optimal profit.

Original language	English
Title of host publication	Intelligent Agents and Multi-Agent Systems - 5th Pacific Rim International Workshop on Multi-Agents, PRIMA 2002, Proceedings
Editors	Kazuhiro Kuwabara, Jaeho Lee
Publisher	Springer Verlag
Pages	123-137
Number of pages	15
ISBN (Print)	3540440267, 9783540456803
DOIs	https://doi.org/10.1007/3-540-45680-5_9
State	Published - 2002
Externally published	Yes
Event	5th Pacific Rim International Workshop on Multi-Agents, PRIMA 2002 - Tokyo, Japan Duration: 18 08 2002 → 19 08 2002

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	2413
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	5th Pacific Rim International Workshop on Multi-Agents, PRIMA 2002
Country/Territory	Japan
City	Tokyo
Period	18/08/02 → 19/08/02

Bibliographical note

Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2002.

Access to Document

10.1007/3-540-45680-5_9

Cite this

Soo, V. W., & Cheng, H. L. (2002). Conducting the disambiguation dialogues between software agent sellers and human buyers. In K. Kuwabara, & J. Lee (Eds.), Intelligent Agents and Multi-Agent Systems - 5th Pacific Rim International Workshop on Multi-Agents, PRIMA 2002, Proceedings (pp. 123-137). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2413). Springer Verlag. https://doi.org/10.1007/3-540-45680-5_9

Soo, Von Wun ; Cheng, Hai Long. / Conducting the disambiguation dialogues between software agent sellers and human buyers. Intelligent Agents and Multi-Agent Systems - 5th Pacific Rim International Workshop on Multi-Agents, PRIMA 2002, Proceedings. editor / Kazuhiro Kuwabara ; Jaeho Lee. Springer Verlag, 2002. pp. 123-137 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Conducting the disambiguation dialogues between software agent sellers and human buyers",

abstract = "In the buying and selling interaction in e-commerce, one of the important dialogues is the discourse of resolving the ambiguities. That is to say that both selling and buying agents may have to conduct disambiguating dialogues to some extent in order to resolve the ambiguities and infer the true intents of the other agents. In the paper, we assume buyers are human agents while sellers are software agents and thus the seller agents will construct dialogues to resolve the ambiguities from the buyer agents. To resolve ambiguities, agents rely on four levels of domain knowledge: the world model, the mental model, the language model, and the rational model. In addition, four kinds of disambiguation strategies for the seller agent are implemented: (1) Guessing (2) Filtering (3) Recommending and (4) Asking more hints. Experiments are conducted also to measure the performance of the dialogue system against different parameter settings of the disambiguation strategies. We find that by optimal parameter setting and suitable strategy combination, the seller will result in a shorter dialogue without sacrificing much the optimal profit.",

author = "Soo, \{Von Wun\} and Cheng, \{Hai Long\}",

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year = "2002",

doi = "10.1007/3-540-45680-5\_9",

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Soo, VW & Cheng, HL 2002, Conducting the disambiguation dialogues between software agent sellers and human buyers. in K Kuwabara & J Lee (eds), Intelligent Agents and Multi-Agent Systems - 5th Pacific Rim International Workshop on Multi-Agents, PRIMA 2002, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2413, Springer Verlag, pp. 123-137, 5th Pacific Rim International Workshop on Multi-Agents, PRIMA 2002, Tokyo, Japan, 18/08/02. https://doi.org/10.1007/3-540-45680-5_9

Conducting the disambiguation dialogues between software agent sellers and human buyers. / Soo, Von Wun; Cheng, Hai Long.
Intelligent Agents and Multi-Agent Systems - 5th Pacific Rim International Workshop on Multi-Agents, PRIMA 2002, Proceedings. ed. / Kazuhiro Kuwabara; Jaeho Lee. Springer Verlag, 2002. p. 123-137 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2413).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - In the buying and selling interaction in e-commerce, one of the important dialogues is the discourse of resolving the ambiguities. That is to say that both selling and buying agents may have to conduct disambiguating dialogues to some extent in order to resolve the ambiguities and infer the true intents of the other agents. In the paper, we assume buyers are human agents while sellers are software agents and thus the seller agents will construct dialogues to resolve the ambiguities from the buyer agents. To resolve ambiguities, agents rely on four levels of domain knowledge: the world model, the mental model, the language model, and the rational model. In addition, four kinds of disambiguation strategies for the seller agent are implemented: (1) Guessing (2) Filtering (3) Recommending and (4) Asking more hints. Experiments are conducted also to measure the performance of the dialogue system against different parameter settings of the disambiguation strategies. We find that by optimal parameter setting and suitable strategy combination, the seller will result in a shorter dialogue without sacrificing much the optimal profit.

AB - In the buying and selling interaction in e-commerce, one of the important dialogues is the discourse of resolving the ambiguities. That is to say that both selling and buying agents may have to conduct disambiguating dialogues to some extent in order to resolve the ambiguities and infer the true intents of the other agents. In the paper, we assume buyers are human agents while sellers are software agents and thus the seller agents will construct dialogues to resolve the ambiguities from the buyer agents. To resolve ambiguities, agents rely on four levels of domain knowledge: the world model, the mental model, the language model, and the rational model. In addition, four kinds of disambiguation strategies for the seller agent are implemented: (1) Guessing (2) Filtering (3) Recommending and (4) Asking more hints. Experiments are conducted also to measure the performance of the dialogue system against different parameter settings of the disambiguation strategies. We find that by optimal parameter setting and suitable strategy combination, the seller will result in a shorter dialogue without sacrificing much the optimal profit.

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ER -

Soo VW, Cheng HL. Conducting the disambiguation dialogues between software agent sellers and human buyers. In Kuwabara K, Lee J, editors, Intelligent Agents and Multi-Agent Systems - 5th Pacific Rim International Workshop on Multi-Agents, PRIMA 2002, Proceedings. Springer Verlag. 2002. p. 123-137. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/3-540-45680-5_9

Conducting the disambiguation dialogues between software agent sellers and human buyers

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