Motivations as an abstraction of meta-level reasoning

Felipe Meneguzzi*, Michael Luck

*Corresponding author for this work

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

12 Citations (Scopus)

Abstract

In agent systems, meta-level reasoning is commonly used in enforcing rationality in the choice of goals and actions performed by an agent, ensuring that an agent behaves as effectively and efficiently as possible. Through metareasoning an agent is able to explicitly consider goals before committing to them, and consider courses of action before executing plans. In this paper, we argue that although seldom considered, a flexible meta-level reasoning component is a valuable addition to any agent architecture. We describe such a component for use in BDI architectures, underpinned by a model of motivation and a motivationbased description language, and demonstrate its effectiveness empirically.

Original languageEnglish
Title of host publicationProceedings, CEEMAS 2007: Multi-Agent Systems and Applications V
Subtitle of host publication5th International Central and Eastern European Conference on Multi-Agent Systems
PublisherSpringer Verlag
Pages204-214
Number of pages11
ISBN (Print)9783540752530
DOIs
Publication statusPublished - 2007
Externally publishedYes
Event5th International Central and Eastern European Conference on Multi-Agent Systems, CEEMAS 2007 - Leipzig, Germany
Duration: 25 Sept 200727 Sept 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4696 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference5th International Central and Eastern European Conference on Multi-Agent Systems, CEEMAS 2007
Country/TerritoryGermany
CityLeipzig
Period25/09/0727/09/07

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