Leveraging new plans in AgentSpeak(PL)

Felipe Meneguzzi*, Michael Luck

*Corresponding author for this work

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

12 Citations (Scopus)


In order to facilitate the development of agent-based software, several agent programming languages and architectures, have been created. Plans in these architectures are often self-contained procedures with an associated triggering event and a context condition, while any further information about the consequences of executing a plan is absent. However, agents designed using such an approach have limited flexibility at runtime, and rely on the designer's ability to foresee all relevant situations an agent might have to handle. In order to overcome this limitation, we have created AgentSpeak(PL), an interpreter capable of performing state-space planning to generate new high-level plans. As the planning module creates new plans, the plan library is expanded, improving performance over time. However, for new plans to be useful in the long run, it is critical that the context conditions associated with new plans are carefully generated. In this paper we describe a plan reuse technique aimed at improving an agent's runtime performance by deriving optimal context conditions for new plans, allowing an agent to reuse generated plans as much as possible.

Original languageEnglish
Title of host publicationDeclarative Agent Languages and Technologies VI - 6th International Workshop, DALT 2008
Subtitle of host publicationRevised Selected and Invited Papers
Number of pages17
Publication statusPublished - 2009
Externally publishedYes
Event6th International Workshop on Declarative Agent Languages and Technologies, DALT 2008 - Estoril, Portugal
Duration: 12 May 200812 May 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5397 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference6th International Workshop on Declarative Agent Languages and Technologies, DALT 2008


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