Introducing participative personal assistant teams in negotiation support systems

Eric Platon; Shinichi Honiden

doi:10.1007/978-3-540-32128-6_14

Introducing participative personal assistant teams in negotiation support systems

Research output: Contribution to journal › Conference article › peer-review

Abstract

This paper introduces teams of personal agents that support users individually in electronic negotiations. These agents listen to the running negotiation and to each other to point out relevant information and compile advice for the user. In this frame, we first describe the architecture of this system and propose assistance interaction protocols to specify agent external behaviours in performing their tasks. Then, we discuss the semantic representation of agent communication and describe an abstraction layer to let agents understand user message issues. Our future work aims at improving these mechanisms and enriching them toward a full-fledged implementation.

Original language	English
Pages (from-to)	178-192
Number of pages	15
Journal	Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
Volume	3371
DOIs	https://doi.org/10.1007/978-3-540-32128-6_14
Publication status	Published - 2005 Jan 1
Externally published	Yes
Event	7th Pacific Rim International Workshop on Multi-Agents, PRIMA 2004 - Auckland, New Zealand Duration: 2004 Aug 8 → 2004 Aug 13

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

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title = "Introducing participative personal assistant teams in negotiation support systems",

abstract = "This paper introduces teams of personal agents that support users individually in electronic negotiations. These agents listen to the running negotiation and to each other to point out relevant information and compile advice for the user. In this frame, we first describe the architecture of this system and propose assistance interaction protocols to specify agent external behaviours in performing their tasks. Then, we discuss the semantic representation of agent communication and describe an abstraction layer to let agents understand user message issues. Our future work aims at improving these mechanisms and enriching them toward a full-fledged implementation.",

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