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research-article

Research directions in agent communication

Authors:

Amit K. Chopra,

Alexander Artikis,

Jamal Bentahar,

Marco Colombetti,

Nicoletta Fornara,

Andrew J. I. Jones,

Munindar P. Singh,

Pinar YolumAuthors Info & Claims

ACM Transactions on Intelligent Systems and Technology (TIST), Volume 4, Issue 2

Article No.: 20, Pages 1 - 23

https://doi.org/10.1145/2438653.2438655

Published: 03 April 2013 Publication History

Abstract

Increasingly, software engineering involves open systems consisting of autonomous and heterogeneous participants or agents who carry out loosely coupled interactions. Accordingly, understanding and specifying communications among agents is a key concern. A focus on ways to formalize meaning distinguishes agent communication from traditional distributed computing: meaning provides a basis for flexible interactions and compliance checking.

Over the years, a number of approaches have emerged with some essential and some irrelevant distinctions drawn among them. As agent abstractions gain increasing traction in the software engineering of open systems, it is important to resolve the irrelevant and highlight the essential distinctions, so that future research can be focused in the most productive directions.

This article is an outcome of extensive discussions among agent communication researchers, aimed at taking stock of the field and at developing, criticizing, and refining their positions on specific approaches and future challenges. This article serves some important purposes, including identifying (1) points of broad consensus; (2) points where substantive differences remain; and (3) interesting directions of future work.

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Cited By

Christie SSingh MChopra AAgmon NAn BRicci AYeoh W(2023)Kiko: Programming Agents to Enact Interaction ModelsProceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems10.5555/3545946.3598758(1154-1163)Online publication date: 30-May-2023
https://dl.acm.org/doi/10.5555/3545946.3598758
Telang PSingh MYorke-Smith N(2023)Maintenance commitmentsArtificial Intelligence10.1016/j.artint.2023.103993324:COnline publication date: 1-Nov-2023
https://dl.acm.org/doi/10.1016/j.artint.2023.103993
Terzidou TTsiatsos ?Apostolidis H(2018)Architecture and interaction protocol for pedagogical-empathic agents in 3D virtual learning environmentsMultimedia Tools and Applications10.1007/s11042-018-5942-477:20(27661-27684)Online publication date: 1-Oct-2018
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Index Terms

Research directions in agent communication
1. Computing methodologies
  1. Artificial intelligence
    1. Distributed artificial intelligence
      1. Multi-agent systems

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cover image ACM Transactions on Intelligent Systems and Technology

ACM Transactions on Intelligent Systems and Technology Volume 4, Issue 2

Special section on agent communication, trust in multiagent systems, intelligent tutoring and coaching systems

March 2013

339 pages

ISSN:2157-6904

EISSN:2157-6912

DOI:10.1145/2438653

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Copyright © 2013 ACM.

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Publication History

Published: 03 April 2013

Accepted: 01 March 2011

Revised: 01 December 2010

Received: 01 August 2010

Published in TIST Volume 4, Issue 2

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Swiss State Secretariat for Education and Research (SER) project C08.0114 within the COST action IC0801 “Agreement technologies”
Seventh Framework Programme
National Science Foundation
Natural Sciences and Engineering Research Council of Canada and Fonds de Recherche sur la Société et la Culture (Quebec)
Natural Sciences and Engineering Research Council of Canada

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https://dl.acm.org/doi/10.5555/3545946.3598758
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https://dl.acm.org/doi/10.1016/j.artint.2023.103993
Terzidou TTsiatsos ?Apostolidis H(2018)Architecture and interaction protocol for pedagogical-empathic agents in 3D virtual learning environmentsMultimedia Tools and Applications10.1007/s11042-018-5942-477:20(27661-27684)Online publication date: 1-Oct-2018
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