2026-09-08T01:53:34Zhttps://gredos.usal.es/oai/request

oai:gredos.usal.es:10366/1336402025-04-30T21:03:46Zcom_10366_133431com_10366_122682com_10366_4666com_10366_3823col_10366_133433

Cardoso, Rafael Cauê Bordini, Rafael Heitor 2017-07-26T11:08:54Z 2017-07-26T11:08:54Z 2017-06-30 ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 6 (2017) 2255-2863 http://hdl.handle.net/10366/133640 Describing planning domains using a common formalism promotes greater reuse of research, allowing a fairer comparison between different planners and approaches. Common planning formalisms for single-agent planning are already well established (e.g., PDDL, STRIPS, and HTN), but currently there is a shortage of multi-agent planning formalisms with clear semantics. In this paper, we propose a multi-agent extension of the Hierarchical Task Network (HTN) planning formalism for multi-agent planning problems. Our formalism, the Multi-Agent Hierarchical Task Network (MA-HTN), can be used to specify and represent multi-agent planning domains and problems. We provide a grammar with semantics for the domain and problem representation, and describe two case studies with the translation from multi-agent systems developed in JaCaMo to our MA-HTN formalism. eng https://creativecommons.org/licenses/by-nc-nd/3.0/ info:eu-repo/semantics/openAccess Attribution-NonCommercial-NoDerivs 3.0 Unported Computación Informótica Computing Information Technology A Multi-Agent Extension of a Hierarchical Task Network Planning Formalism info:eu-repo/semantics/article