Semantic representations of agent plans and planning problem domains

Artur Freitas, Daniela Schmidt, Alison R. Pannison, Felipe Meneguzzi, Renata Vieira, Rafael H. Bordini

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

10 Citations (Scopus)


Integrating knowledge representation approaches with agent programming and automated planning is still an open research challenge. To explore the combination of those techniques, we present a semantic model of planning domains that can be converted to both agent programming plans as well as planning problem definitions. Our approach allows the representation of agent plans using ontologies, enabling the integration of different formalisms since the knowledge in the ontology can be reused by several systems and applications. Ontologies enable the use of semantic reasoning in planning and agent systems, and such semantic web technologies are significant current research trends. This paper presents our planning ontology, exemplify its use with an instantiation, and shows how to translate between ontology, agent code, and planning specifications. Algorithms to convert between these formalisms are shown, and we also discuss future directions towards the integration of semantic representation, automated planning, and agent programming.
Original languageEnglish
Title of host publicationInternational Workshop on Engineering Multi-Agent Systems
Number of pages16
ISBN (Electronic)978-3-319-14484-9
ISBN (Print)978-3-319-14483-2
Publication statusPublished - 2014

Publication series

NameLecture Notes in Computer Science

Bibliographical note

© 2014 Springer International Publishing Switzerland


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