dc.contributor.author | Paggi, Horacio | |
dc.contributor.author | Cochez, Michael | |
dc.date.accessioned | 2015-05-07T08:17:10Z | |
dc.date.available | 2015-05-07T08:17:10Z | |
dc.date.issued | 2014 | |
dc.identifier.citation | Paggi, H., & Cochez, M. (2014). Use of a Semantic Language to Reduce the Indeterminacy in Agents Communication. In <i>Proceedings of the 2014 International Conference on Mathematics and Computers in Sciences and Industry (MCSI 2014)</i> (pp. 281-287). IEEE. <a href="https://doi.org/10.1109/MCSI.2014.64" target="_blank">https://doi.org/10.1109/MCSI.2014.64</a> | |
dc.identifier.other | CONVID_24594536 | |
dc.identifier.other | TUTKAID_65489 | |
dc.identifier.uri | https://jyx.jyu.fi/handle/123456789/45804 | |
dc.description.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). | |
dc.language.iso | eng | |
dc.publisher | IEEE | |
dc.relation.ispartof | Proceedings of the 2014 International Conference on Mathematics and Computers in Sciences and Industry (MCSI 2014) | |
dc.subject.other | communications semantics | |
dc.subject.other | multi-agent systems programming language | |
dc.title | Use of a Semantic Language to Reduce the Indeterminacy in Agents Communication | |
dc.type | conferenceObject | |
dc.identifier.urn | URN:NBN:fi:jyu-201503031414 | |
dc.contributor.laitos | Tietotekniikan laitos | fi |
dc.contributor.laitos | Department of Mathematical Information Technology | en |
dc.contributor.oppiaine | Tietotekniikka | fi |
dc.contributor.oppiaine | Mathematical Information Technology | en |
dc.type.uri | http://purl.org/eprint/type/ConferencePaper | |
dc.date.updated | 2015-03-03T16:30:12Z | |
dc.relation.isbn | 978-1-4799-4324-1 | |
dc.type.coar | conference paper | |
dc.description.reviewstatus | peerReviewed | |
dc.format.pagerange | 281-287 | |
dc.type.version | acceptedVersion | |
dc.rights.copyright | © 2014 IEEE. This is an author's post-print version of an article whose final and definitive form has been published in the conference proceeding by IEEE. | |
dc.rights.accesslevel | openAccess | fi |
dc.relation.conference | Mathematics and Computers in Sciences and in Industry | |
dc.relation.doi | 10.1109/MCSI.2014.64 | |