Use of a Semantic Language to Reduce the Indeterminacy in Agents Communication

Horacio Paggi, Michael Cochez

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

In the field of agent communications uncertainty and vagueness in the message content and in the achievable results play a primordial role when two agents (human or artificial) communicate. Even though the importance of vagueness and uncertainty has been recognized long ago, only recently mechanisms related to the communications' semantics that allow a practical approach have been designed; more specifically, the development of tools such as agent programming languages and frameworks, which is a field of intensive research. On the other hand, recent theoretical ideas, drawn from situation semantics theory and the works of Sutton on semantic information, support this work. This paper applies these ideas to the field of multi-agent systems (MAS) and sketches how one can reduce the impact of vagueness and uncertainty present in the communication between software agents by means of context information, collaboration and basic reinforcement learning using a language designed for agent communication: the Sematic Agent Programming Language (S-APL).

Original languageEnglish
Title of host publicationProceedings - 2014 International Conference on Mathematics and Computers in Sciences and in Industry, MCSI 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages281-287
Number of pages7
ISBN (Electronic)9781479943241
DOIs
Publication statusPublished - 19 Feb 2014
Externally publishedYes
Event2014 International Conference on Mathematics and Computers in Sciences and in Industry, MCSI 2014 - Varna, Bulgaria
Duration: 13 Sep 201415 Sep 2014

Publication series

NameProceedings - 2014 International Conference on Mathematics and Computers in Sciences and in Industry, MCSI 2014

Conference

Conference2014 International Conference on Mathematics and Computers in Sciences and in Industry, MCSI 2014
CountryBulgaria
CityVarna
Period13/09/1415/09/14

Keywords

  • communications semantics
  • multi-agent systems programming language

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