Research directions in agent communication

  • Authors:

  • Amit K. Chopra;Alexander Artikis;Jamal Bentahar;Marco Colombetti;Frank Dignum;Nicoletta Fornara;Andrew J. I. Jones;Munindar P. Singh;Pinar Yolum

  • Affiliations:

  • University of Trento, Italy;NCSR “Demokritos”, Greece;Concordia University, OR;University of Lugano, Politecnico di Milano, Italy;Utrecht University, The Netherlands;University of Lugano, Switzerland;King's College London, UK;North Carolina State University, NC;Boğaziçi University, Turkey

  • Venue:
  • ACM Transactions on Intelligent Systems and Technology (TIST) - Special section on agent communication, trust in multiagent systems, intelligent tutoring and coaching systems
  • Year:
  • 2013

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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.